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Blogs › HubSpot ETL Tools
September 7, 2026  •  26 mins

10 Best HubSpot ETL Tools in 2026: Tested, Compared, and Ranked

10 HubSpot ETL tools compared side-by-side: pricing, connector depth, real-time sync, and no-code options. Find the right fit for your stack in 2026.

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Written by
Sarthak Bhardwaj
Author
10 Best HubSpot ETL Tools in 2026: Tested, Compared, and Ranked

Trusted by 2,000+ companies worldwide

Key Takeaways

HubSpot ETL tools extract CRM data, transform it into analysis-ready formats, and load it into a destination warehouse for reporting and analytics.

  • No-code, fully managed ELT
    • Hevo, Fivetran, Stitch: Best for teams that want fast setup, minimal infrastructure overhead, and reliable data pipelines. Hevo is a strong choice for real-time sync, in-pipeline transformations, and transparent event-based pricing.
  • Open-source and hybrid
    • Airbyte: Best for engineering-led teams that need custom connectors, self-hosted deployment, or greater control over data residency, with additional setup and maintenance overhead.
  • Reverse ETL and activation
    • Hightouch: Best for sending enriched warehouse data back to HubSpot for use cases such as lead scoring, audience activation, and operational workflows.
  • How to choose
    • Prioritize connector coverage, sync latency, total cost, transformation capabilities, API rate-limit handling, and automatic schema management based on your data volume and HubSpot workflows.

Your HubSpot instance contains valuable customer, sales, and marketing data. But that data becomes far more useful when combined with product usage, support, and financial data in a central warehouse.

The challenge is getting it there reliably.

Native integrations work for basic reporting but often fall short when you need custom objects, multiple destinations, real-time data movement, transformations, or automated handling of schema changes. As data volumes grow, HubSpot's API limits and pipeline maintenance can become a significant operational burden.

That's where HubSpot ETL and ELT tools come in.

To build this list, we evaluated each tool on connector coverage, sync reliability, transformation capability, pricing transparency, and scalability. Verified G2 and Capterra reviews helped validate our final selections. We also evaluated how each platform handles HubSpot API rate limits and schema drift, two common causes of pipeline failures.

The tools featured here fall into three broad categories: 

  • Managed ETL/ELT platforms 

  • Open-source and hybrid solutions 

  • Specialized data activation tools

Each serves a different set of technical, operational, and budget requirements.

In this guide, you'll find a side-by-side comparison of the top HubSpot ETL tools, detailed reviews of each platform, verified pricing information, real customer feedback, and a practical framework to help you choose the right solution for your team.

Quick Overview Table: 10 Best HubSpot ETL Tools

CategoryToolBest ForKey StrengthsLimitationsStarting Price
Fully managed ELTHevo DataTeams seeking simple, near real-time HubSpot pipelines without engineering overheadNo-code setup, auto-healing reliable pipelines, transparent event-based pricing, and complete visibilityNo on-premises deployment; advanced custom transformations may need Python/dbtFree + $239/month
Fully managed ELTFivetranEnterprise teams needing set-and-forget reliability700+ connectors, strong schema drift handling, deep dbt integrationUnpredictable MAR-based pricing at scale; no inline transformations; 1-min sync locked to higher tiers$500/month
Open-source / Hybrid ELTAirbyteEngineering teams wanting connector control and self-hosting600+ connectors, open-source CDK, no vendor lock-inSteep learning curve; self-hosted version requires infrastructure maintenance$10/month (Cloud)
Fully managed ELTStitchLean teams needing simple, affordable replicationEasy setup, Singer protocol, affordable entry priceNo real-time sync; limited transformation capabilities; slower development pace under Qlik$100/month
Enterprise Data IntegrationBoomi (formerly Rivery)Teams needing ELT + orchestration + reverse ETL in one platformEnd-to-end pipeline management, 200+ connectors, real-time webhook ingestionPricing complexity at scale; learning curve for orchestration features$0.90/BDU
Marketing analytics ELTDataddoMarketing-focused teams centralizing HubSpot with ad platform data300+ connectors, built-in data quality firewall, no-code setupLimited advanced transformations; pricing can escalate with high volumes$129/month
Cloud-native transformationMatillionData teams needing transformation-heavy HubSpot pipelinesPushdown processing, SQL/Python support, AI Copilot, strong warehouse integrationsRequires technical knowledge for advanced tasks; expensive at scale$2.59/credit
Cloud data managementSkyviaSMB teams wanting affordable HubSpot sync with on-prem connectivityOn-premises connectivity, affordable entry tier, 200+ apps, backup and recoveryPerformance lags on large datasets; limited flexibility for code-based users$99/month
Reverse ETLHightouchTeams activating warehouse data back into HubSpotSQL-based modeling, 250+ destinations, governance controls, live debuggerDependent on existing cloud warehouse; steep learning curve for non-technical usersFree (limited)
Long-tail ELTPortableTeams with niche or custom source integrations1,500+ apps, connector maintenance included, webhook-triggered pipelinesRequires a warehouse; no built-in transformations; high starting price$590/month
Stop Maintaining HubSpot Pipelines. Start Using HubSpot Data.
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Types of HubSpot ETL Tools (And Which One Should You Choose)

Most HubSpot ETL tools fall into one of three categories. Understanding the differences can help you narrow down your options faster.

1. Managed ETL and ELT Platforms

These platforms automate the process of extracting data from HubSpot and loading it into a warehouse such as Snowflake, BigQuery, Redshift, PostgreSQL, or MySQL. They typically handle connector maintenance, schema changes, monitoring, and scaling, allowing teams to focus on analytics instead of pipeline management.

Examples: Hevo, Fivetran, Stitch

Best for: Organizations looking for reliable, low-maintenance data pipelines.

2. Open-Source and Hybrid Solutions

These tools provide greater flexibility and customization than fully managed platforms. Teams can build custom connectors, modify workflows, and often self-host the infrastructure. The trade-off is increased operational overhead and engineering involvement.

Examples: Airbyte

Best for: Data teams that need flexibility and have the resources to manage infrastructure.

3. Specialized Data Integration and Activation Tools

This category includes enterprise integration platforms, workflow automation tools, and reverse ETL solutions. While their approaches differ, they are designed to solve specific integration, governance, automation, or data activation challenges.

Examples: Boomi, Dataddo, Matillion, Hightouch, Portable

Best for: Organizations with advanced governance requirements, operational automation needs, or warehouse-to-HubSpot data activation use cases.

Which Category Is Right for You?

For most organizations, managed ETL and ELT platforms offer the fastest path to value because they minimize maintenance while providing reliable, scalable pipelines.

If you want to...Consider...
Move HubSpot data into a warehouse with minimal setup and maintenanceManaged ETL/ELT platforms
Build highly customized pipelines and retain infrastructure controlOpen-source and hybrid solutions
Solve advanced integration, governance, automation, or reverse ETL requirementsSpecialized data integration and activation tools

Top 10 HubSpot ETL Tools in 2026

Overview G2 4.4/5 (292)

Hevo Data is a fully managed, no-code ETL platform for moving HubSpot data into your preferred data warehouse or BI tool with minimal maintenance. Hevo is built around reliable, simple, and transparent data integration, with automated retries, auto-healing pipelines, schema management, detailed logs, and proactive alerts. This helps teams spend less time maintaining HubSpot integrations and more time turning CRM data into actionable insights.

Key Features
No-code HubSpot integration: Connect HubSpot to destinations such as BigQuery, Snowflake, or Redshift using a guided setup without writing integration scripts.
Near real-time HubSpot sync: Automatically captures new and updated HubSpot records to keep destination data fresh with minimal manual intervention.
Automated schema management: Adapts destination schemas when new HubSpot properties are added or existing fields change, reducing pipeline maintenance.
Reliable pipeline operations: Automated retries, auto-healing, monitoring, and proactive alerts help keep pipelines running when integration issues occur.
Custom and association extraction: Supports HubSpot standard objects, custom objects, and their associations for more complete CRM data replication.
Pros & Cons
Pros
  • No-code setup reduces the engineering effort required to build HubSpot pipelines
  • Automated retries and auto-healing improve pipeline reliability
  • Near real-time replication keeps warehouse data fresh
  • Adaptive schema management reduces maintenance when HubSpot properties change
  • Responsive customer support and broad connector coverage
Cons
  • Lacks on-premises deployment options
  • Event-based pricing can become expensive at higher data volumes
  • Some advanced transformation requirements may need Python or dbt
Pricing
PlanPrice
Free$0/month, up to 1M events/month
Starter$239/month
Professional$679/month
Business CriticalCustom pricing
Customer Review

Experienced a powerful automated pipeline that offers flexible object selection, effectively cutting costs. Enjoy a user-friendly interface paired with quick and reliable support to enhance productivity. Integrations are simple, and it is easy to identify the required objects and pipeline. I can monitor performance without lag.

Nikhil K., Business Analyst, Mid-Market (51-1000 emp.) G2 review
How Whatfix Reduced Reporting Time from Days to Hours
Whatfix used Hevo to centralize data from multiple sources and automate data pipelines, eliminating manual data movement and accelerating decision-making.
Read the Case Study
Overview G2 4.3/5 (793)

Fivetran is a fully managed data integration platform that automates data movement from HubSpot and other sources into cloud warehouses. It focuses on low-maintenance, reliable pipelines with automatic schema handling, incremental syncs, and a broad connector ecosystem, making it well suited to enterprises that need scalable data integration without maintaining custom connectors.

Key Features
700+ managed connectors: Fivetran provides a broad library of connectors for SaaS applications, databases, events, files, and other data sources and destinations.
Automatic schema management: Detects source schema changes and adjusts destination structures automatically, reducing manual pipeline maintenance.
Incremental data synchronization: Replicates new and updated records incrementally to keep warehouse data current while reducing unnecessary data movement.
Flexible sync frequencies: Standard plans support 15-minute syncs, while Enterprise plans provide 1-minute sync capabilities for workloads requiring faster data delivery.
dbt integration: Integrates with dbt Core so teams can manage downstream transformations within their existing analytics engineering workflows.
Pros & Cons
Pros
  • Broad connector coverage reduces the need to build and maintain custom integrations
  • Strong reliability and automated pipeline maintenance
  • Comprehensive security, governance, and enterprise controls
  • Automatic schema handling and incremental syncs simplify data operations
  • Deep dbt integration supports transformation workflows
Cons
  • Usage-based MAR pricing can become difficult to predict at high data volumes
  • Does not provide traditional inline transformations within the extraction and loading pipeline
  • 1-minute sync frequencies require higher-tier plans
  • Advanced enterprise features can increase overall platform costs
Pricing
PlanPrice
Free$0, up to 500K MAR/month for connections
StandardUsage-based pricing
EnterpriseUsage-based pricing
Business CriticalCustom pricing
Customer Review

The system's main value is its speed and reliability, which allows me to avoid spending engineering time on building and maintaining custom connectors for systems like Salesforce, HubSpot, NetSuite, and Intercom.

Verified G2 Reviewer G2 review
Overview G2 4.4/5 (78)

Airbyte is an open-source data integration platform that combines self-hosted flexibility with managed cloud deployment options. It supports 600+ connectors for replicating data from applications, APIs, and databases into warehouses, lakes, and other destinations. Its Connector Builder and extensible architecture let engineering teams customize integrations while avoiding vendor lock-in.

Key Features
600+ connectors: Airbyte provides a broad connector catalog for SaaS applications, databases, APIs, files, warehouses, and other data sources and destinations.
Custom connector development: The Connector Builder and Connector Development Kit let engineering teams create and customize connectors when existing integrations do not meet their requirements.
Flexible deployment: Teams can use Airbyte's self-managed open-source edition or managed cloud options, with Enterprise Flex supporting deployment within their own infrastructure.
Automatic schema propagation: Airbyte detects source schema changes and propagates them to destinations, reducing manual pipeline maintenance.
Incremental data synchronization: Syncs can replicate only new or updated records where supported, helping reduce unnecessary data movement and source API usage.
Pros & Cons
Pros
  • Open-source deployment provides greater control and reduces vendor lock-in
  • 600+ connectors cover a broad range of SaaS applications, databases, and APIs
  • Connector Builder enables custom integrations without building everything from scratch
  • Flexible cloud, self-managed, and enterprise deployment options
  • Strong community-driven connector ecosystem
Cons
  • Self-hosted deployments require infrastructure and ongoing maintenance
  • Steeper learning curve for teams managing customized connectors and deployments
  • Advanced governance and support features require higher-tier plans
  • Cloud pricing varies by plan and data volume or compute capacity
Pricing
PlanPrice
CoreFree; self-managed open source
StandardFrom $10/month; fully managed cloud with volume-based pricing
ProCustom pricing; capacity-based Data Worker pricing
Enterprise FlexCustom pricing; enterprise deployment and data sovereignty features
Customer Review

Airbyte gives us complete ownership of our data infrastructure without the operational headaches. What stands out is the data sovereignty: the features work identically across all deployment modes, making it straightforward to scale.

Austin H. G2 review
Overview G2 4.4/5 (68)

Stitch is a cloud-based ETL platform that automates data replication from HubSpot and other sources into cloud data warehouses. It is designed for teams that want simple setup, reliable ingestion, and transparent row-based pricing without managing pipeline infrastructure. Stitch supports historical loading, incremental replication, automatic schema updates, and the open-source Singer ecosystem for additional connector flexibility.

Key Features
Complex data structure support: Stitch handles nested data structures and relationships, helping replicate HubSpot data accurately into the destination warehouse.
Historical data loading: Supports historical synchronization so teams can load existing HubSpot records before continuing with ongoing replication.
Singer protocol integration: Built on the open-source Singer specification, giving teams access to community-developed connectors and extensibility options.
Incremental and full replication: Supports incremental updates as well as full-table replication methods, helping teams balance freshness and source-system load.
Automatic schema updates: Detects changes to source structures and updates destination schemas to reduce manual pipeline maintenance.
Pros & Cons
Pros
  • Simple setup for teams that primarily need reliable data replication
  • Transparent row-based pricing with plans starting at $100/month
  • Automatic schema updates reduce manual maintenance
  • Singer ecosystem provides additional connector flexibility
  • Historical and incremental replication support
Cons
  • Limited built-in transformation capabilities compared with more advanced ETL platforms
  • Connector customization is more limited than developer-first alternatives
  • Advanced connectivity and enterprise features require higher-tier plans
  • Pricing increases with replicated row volume
Pricing
PlanPrice
StandardFrom $100/month, 5M–300M rows/month
Advanced$1,500/month, billed annually; 100M rows/month
Premium$3,000/month, billed annually; 1B rows/month
Customer Review

As Stitch continues to expand across different markets, there is an opportunity to further enhance product configurability to better accommodate varying regional requirements and business models.

Hadeel M. G2 review
Overview G2 4.5/5 (121)

Boomi Data Integration (formerly Rivery) is a cloud-based data integration platform that combines ingestion, transformation, orchestration, and reverse ETL in a single environment. It supports 200+ data sources and destinations, with no-code and custom-code options for building end-to-end data pipelines. Its workflow orchestration, monitoring, governance, and flexible deployment capabilities make it suitable for teams managing complex HubSpot data integration workflows.

Key Features
End-to-end data integration: Combines data ingestion, transformation, orchestration, and reverse ETL capabilities for managing complete data workflows.
200+ connectors: Provides a broad connector library for databases, SaaS applications, files, APIs, warehouses, and other data sources and destinations.
Workflow orchestration: Supports scheduling, dependencies, transformations, and multi-step workflows for complex data operations.
Reverse ETL: Sends transformed warehouse data back to operational systems for marketing, sales, CRM, and other activation use cases.
High-frequency synchronization: Higher-tier plans support faster API-based synchronization for workloads that require more frequent data updates.
Governance and permissions: Role-based access controls, multiple environments, SSO, SCIM, and enterprise security options support larger data teams.
Pros & Cons
Pros
  • Combines ingestion, transformation, orchestration, and reverse ETL in one platform
  • 200+ connectors support a broad range of data integration use cases
  • No-code and custom-code options provide flexibility for technical teams
  • Strong workflow orchestration and monitoring capabilities
  • Granular permissions and enterprise governance features
Cons
  • Consumption-based pricing can make costs difficult to predict for high-volume workloads
  • Advanced orchestration capabilities can have a learning curve
  • Some enterprise features require higher-tier plans
  • Complex workflows may require more technical expertise than simpler ETL tools
Pricing
PlanPrice
Free Trial$0 for 30 days
Pay-As-You-Go$99/month plus usage
BaseUsage-based BDU pricing; contact sales
ProfessionalUsage-based BDU pricing; contact sales
Professional PlusUsage-based BDU pricing; contact sales
EnterpriseCustom pricing
Customer Review

I like that Boomi has become a standard ETL tool across many companies and that allows a broad body of communication and forums. However, using Boomi for years now, we continue to see occasional seemingly random outages.

Verified G2 Reviewer G2 review
Overview G2 4.7/5 (185)

Dataddo is a fully managed data integration platform that helps teams extract, transform, and deliver HubSpot data to warehouses, databases, dashboards, and business applications. It supports ETL, ELT, reverse ETL, and database replication through 400+ connectors, while handling API changes, pipeline monitoring, and connector maintenance. Its no-code approach, built-in data quality capabilities, and REST API make it suitable for marketing and analytics teams that want flexible integrations without heavy engineering effort.

Key Features
400+ managed connectors: Connect HubSpot and other SaaS applications, databases, files, warehouses, and analytics platforms through a broad library of maintained connectors.
HubSpot data integration: Extract HubSpot data including deals, leads, business opportunities, and other available API data and send it to warehouses, dashboards, or other destinations.
ETL, ELT, and reverse ETL: Supports moving data from applications to warehouses, transforming data within integration workflows, and sending warehouse data back to operational applications.
Automated pipeline monitoring: Dataddo proactively monitors pipelines and manages changes to source APIs, reducing the need for ongoing connector maintenance.
Custom integrations and REST API: Teams can request custom connectors or use Dataddo's REST API and Universal JSON Connector for specialized integration requirements.
Data quality and transformation: Provides data cleansing, format harmonization, in-app data quality checks, and transformation capabilities before data reaches its destination.
Pros & Cons
Pros
  • 400+ connectors provide broad coverage for marketing, analytics, and business data sources
  • No-code interface reduces engineering effort for building and maintaining integrations
  • Fully managed connectors and proactive pipeline monitoring reduce maintenance overhead
  • Supports ETL, ELT, reverse ETL, and database replication in one platform
  • Strong security and compliance capabilities, including SOC 2 Type II and ISO 27001
  • Custom connectors and REST API provide additional flexibility for specialized workflows
Cons
  • Pricing can increase as the number of data flows and data volume grows
  • Advanced transformation requirements may require additional technical work
  • Some complex integration configurations can have a learning curve
  • Data-to-dashboard workflows may be less suitable for large datasets or complex transformations than a dedicated warehouse
Pricing
PlanPrice
Free$0/month, 3 data flows; weekly syncs
Data to Dashboards$129/month, 5 data flows; hourly syncs
Data Anywhere$129/month, 3 data flows; source-to-destination integrations
EnterpriseCustom pricing; cloud or hybrid deployment
Customer Review

What I like most about Dataddo is its ease of use combined with strong flexibility. The platform makes it simple to connect and manage data from multiple sources, although some advanced configurations can feel less intuitive at first.

Filippo T., CTO & Co-Founder at Melboss Music Inc. G2 review
Overview G2 4.5/5 (125)

Matillion is a cloud-native data integration and transformation platform that helps teams move, transform, and orchestrate HubSpot and other business data for analytics and AI. It combines 150+ pre-built connectors, no-code and SQL/Python transformation capabilities, pipeline orchestration, observability, and reverse ETL in one platform. Matillion also supports custom connectors, Change Data Capture, and native integrations with cloud data platforms, making it suitable for organizations building scalable, transformation-heavy data workflows.

Key Features
150+ pre-built connectors: Connect HubSpot and other SaaS applications, databases, files, and cloud platforms using Matillion's managed connector library.
HubSpot integration: Supports HubSpot Query connections using OAuth or private app authentication to extract CRM data into cloud data platforms.
Visual data transformation: Build transformation workflows through a low-code visual interface with SQL and Python options for more advanced data processing.
Pipeline orchestration: Schedule, chain, and automate extraction, transformation, loading, and other pipeline tasks based on dependencies and custom parameters.
Reverse ETL: Push transformed warehouse data back into operational applications to support activation and business workflows.
Custom connectors and CDC: Create custom connectors through a no-code REST API designer and use Change Data Capture to replicate database changes with low operational overhead.
Pros & Cons
Pros
  • Strong combination of data integration, transformation, and orchestration capabilities
  • 150+ connectors cover major SaaS, database, and cloud data sources
  • Visual interface makes complex transformation workflows easier to build and manage
  • Supports SQL, Python, reverse ETL, and Change Data Capture for advanced use cases
  • Built-in observability, scheduling, and pipeline management reduce operational overhead
  • AI-powered Copilot and Maia capabilities can accelerate pipeline development and troubleshooting
Cons
  • Consumption-based credit pricing can become expensive for high-volume workloads
  • Advanced transformation and orchestration features require technical knowledge
  • Enterprise capabilities and higher capacity require higher-tier plans
  • Primarily designed for cloud data environments rather than traditional on-premises ETL deployments
Pricing
PlanPrice
DeveloperConsumption-based credit pricing; includes 1 developer user
TeamsConsumption-based credit pricing; includes 5 developer users
ScaleConsumption-based credit pricing; enterprise features and advanced security
Customer Review

I was genuinely impressed by how Maia could automatically pull user requirements from Jira/Azure DevOps and then begin building code to address the problem, but some items will still need to move through manual workflows.

Srinivasan S. G2 review
Overview G2 4.8/5 (264)

Skyvia is a no-code cloud data integration platform that helps teams connect HubSpot with cloud applications, databases, data warehouses, and file storage. It supports ETL, ELT, replication, synchronization, reverse ETL, and advanced data pipelines, allowing teams to move and transform HubSpot data without writing integration code. With 200+ connectors, visual mapping and transformation tools, scheduling, monitoring, and on-premise connectivity, Skyvia is well suited to businesses that want broad connectivity with a relatively simple setup.

Key Features
200+ connectors: Connect HubSpot with cloud applications, databases, data warehouses, file storage, and other business systems through a broad library of pre-built connectors.
ETL and ELT pipelines: Extract, transform, and load HubSpot data into databases and warehouses, or replicate data first and apply transformations in the destination.
Data replication and synchronization: Replicate HubSpot data to relational databases or synchronize data between cloud applications and databases with automated updates.
Visual Data Flow and Control Flow: Combine multiple sources and destinations, perform multi-stage transformations, and orchestrate integrations with dependencies, conditions, retries, and error handling.
Reverse ETL and data activation: Send processed data from databases or warehouses back to HubSpot and other operational applications for marketing, sales, and CRM workflows.
On-premise connectivity: Use Skyvia Agent to securely connect on-premise databases to cloud integrations without exposing the database or changing firewall rules.
Pros & Cons
Pros
  • No-code interface makes ETL and ELT workflows accessible to business and analytics users
  • 200+ connectors provide broad SaaS, database, warehouse, and storage connectivity
  • Supports ETL, ELT, replication, synchronization, and reverse ETL in one platform
  • Visual pipeline and orchestration tools support complex multi-step integrations
  • On-premise Agent enables secure connectivity to local databases
  • Predictable record-based pricing makes it suitable for small and mid-sized workloads
Cons
  • Record-based pricing can become more expensive as data volumes grow
  • Advanced features and higher execution frequencies require higher-tier plans
  • Large or complex workloads may require careful planning around record limits and processing capacity
  • Code-first users may find the visual, no-code approach less flexible than developer-oriented platforms
Pricing
PlanPrice
Free$0/month, up to 10K records/month
Basic$99/month; annual billing starts at $79/month
Standard$199/month; annual billing starts at $159/month
Professional$499/month; annual billing starts at $399/month
EnterpriseCustom pricing; dedicated environment and business-critical capabilities
Customer Review

Easy to use environment. We set it up to back up our CRM and we are done with it for good. It keeps all the backups in one place. The problem - When we started setting up we had a small hurdle that backup gave errors for some fields.

Verified G2 Reviewer G2 review
Overview G2 4.6/5 (406)

Hightouch is a warehouse-native data activation platform that helps teams sync trusted data from their data warehouse into HubSpot and 300+ other business destinations. It is primarily designed for reverse ETL, allowing teams to turn warehouse data such as lead scores, customer value, product usage, and churn risk into actionable CRM and marketing data. Hightouch combines SQL-based modeling, dbt integration, real-time and scheduled syncs, governance controls, and observability, making it particularly suitable for organizations with a mature cloud data stack.

Key Features
Warehouse-native Reverse ETL: Sync data directly from warehouses such as Snowflake, BigQuery, Databricks, and Redshift into HubSpot and other operational tools without maintaining a separate copy of customer data.
300+ destinations: Connect warehouse data to CRMs, marketing platforms, advertising tools, customer success applications, databases, and other business destinations.
SQL, dbt, and visual modeling: Define the data to sync using SQL, table selection, dbt models, or supported BI tools such as Looker and Sigma.
Real-time and scheduled syncs: Deliver warehouse changes to destinations in real time or on recurring schedules, with streaming Reverse ETL available for low-latency activation use cases.
Live debugger and observability: Test syncs, inspect row-level operations, review sync logs, detect anomalies, and configure alerts for destination errors and data quality issues.
Governance and developer workflows: Supports Git-based version control, approval flows, role-based access controls, audit logs, APIs, and dbt integrations for controlled data activation.
Pros & Cons
Pros
  • Strong warehouse-native architecture eliminates the need to duplicate customer data in a separate CDP database
  • 300+ destinations provide extensive connectivity for marketing, sales, and operational activation
  • SQL, dbt, and Python capabilities provide flexibility for technical data teams
  • Real-time and scheduled syncs support both low-latency and batch activation workflows
  • Strong governance, observability, and developer workflow capabilities
  • Supports large-scale data activation without requiring traditional ETL infrastructure
Cons
  • Works best when an organization already has a mature cloud data warehouse
  • Usage-based pricing can be difficult to estimate for teams with many active syncs
  • Advanced capabilities can have a steep learning curve for non-technical users
  • Primarily focuses on data activation and Reverse ETL rather than traditional source-to-warehouse ETL
Pricing
PlanPrice
Free$0/month; up to 2 active syncs
Self-serveUsage-based pricing; up to 10 active syncs and hourly sync frequency
BusinessCustom pricing; advanced governance, security, support, and enterprise capabilities
Customer Review

I love that Hightouch is simple to use and integrate, which made it very quick for us to start getting value out of it. Its downside is that the UI in general is not very good for big accounts.

Roman P. G2 review
Overview G2 4.8/5 (23)

Portable is a fully managed ELT platform focused on extracting data from SaaS applications, databases, files, and long-tail business systems and loading it into cloud data warehouses and data lakes. With 1,500+ pre-built connectors, Portable is particularly useful for teams that need integrations for niche or hard-to-connect data sources. It handles API changes, rate limits, errors, schema migrations, monitoring, and connector maintenance, while its fixed-fee pricing avoids data-volume-based overage charges.

Key Features
1,500+ pre-built connectors: Connect HubSpot and a wide range of SaaS applications, databases, files, and specialized business systems to common analytics destinations.
Managed connector maintenance: Portable handles API changes, authentication issues, rate limits, errors, and ongoing connector updates so teams do not need to maintain integrations themselves.
Incremental data syncing: Supports incremental extraction to transfer new and changed records efficiently instead of repeatedly loading entire datasets.
Automated schema migrations: Detects and manages source schema changes to keep destination tables aligned as connected systems evolve.
Scheduled and webhook-triggered workflows: Run data flows on recurring schedules or trigger integrations through APIs and webhooks for more responsive data movement.
Custom connector development: Portable's integration team can research, build, maintain, and update bespoke connectors for sources that are not already available in its catalog.
Pros & Cons
Pros
  • 1,500+ connectors provide exceptional coverage for long-tail and niche data sources
  • Fully managed integrations reduce engineering and infrastructure maintenance
  • Predictable fixed-fee pricing does not increase with data volume
  • Custom connector development is handled by Portable's integration team
  • Strong hands-on customer support and proactive pipeline monitoring
  • Unlimited data volumes are included in the paid plans
Cons
  • Does not provide built-in data transformation and follows an ELT approach
  • Requires a supported data warehouse, database, or data lake as the destination
  • Limited workflow flexibility compared with more transformation-focused platforms
  • Higher starting prices can make it less attractive for small-volume workloads
  • Enterprise features and advanced sources require higher-tier or custom plans
Pricing
PlanPrice
Standard$1,800/month; 6 enabled data flows and hourly syncing
Pro$2,800/month; 15 enabled data flows and 15-minute syncing
Advanced$4,200/month; 25 enabled data flows and 15-minute syncing
EnterpriseCustom pricing; enterprise security, advanced sources, and SLAs
Customer Review

The Portable Team has been engaging, quick to deliver, and effective with their integrations. Just wish there were more connections to ERP systems.

Noah C. G2 review

Top 6 Factors to Consider to Pick the Right HubSpot ETL Tools for Your Business

Choosing the right HubSpot ETL tool requires more than comparing features. Focus on usability, connector reliability, sync speed, transformation capabilities, schema management, and ongoing support.

01

Ease of Use for Non-Technical Teams

Choose a no-code or low-code tool with an intuitive interface so marketing, sales, and other non-technical teams can build and manage HubSpot workflows with minimal engineering support.

02

Connector Coverage and Reliability

Look for reliable HubSpot integrations that support contacts, deals, campaigns, custom objects, associations, and other CRM data while minimizing sync errors.

03

Real-Time and Incremental Syncs

Real-time or incremental synchronization keeps pipeline metrics, lead scores, campaign performance, and other HubSpot data current without repeatedly moving entire datasets.

04

Built-in Data Transformation

Prioritize tools that can clean, map, merge, and enrich HubSpot data before it reaches your warehouse or analytics platform, reducing manual data preparation.

05

Automated Schema Management

HubSpot fields and custom objects can change over time. Automated schema detection and adaptation help prevent sync failures and ensure new CRM fields continue flowing into your destination.

06

Support, Monitoring, and Alerts

Choose a tool with pipeline monitoring, proactive alerts, strong documentation, and responsive customer support to minimize downtime and maintain consistent data flow.

FAQ

What are HubSpot ETL tools?

HubSpot ETL tools are platforms that extract data from your HubSpot account, transform it into usable formats, and load it into data warehouses or analytics platforms such as BigQuery. They can also manage HubSpot API rate limits, schema changes, and data transformations automatically. While HubSpot offers native data sync through Operations Hub, third-party ETL tools typically provide broader connectivity and more advanced transformation capabilities.

How does data integration from HubSpot to a data warehouse help?

Integrating HubSpot data into a data warehouse ensures that all your marketing, sales, and service data is centralized and analytics-ready. Instead of manually exporting spreadsheets, your data flows automatically into your preferred analytics tools. This enables accurate reporting, smarter forecasting, and faster decision-making.

Which data can you extract from HubSpot?

The right ETL tool helps you extract a variety of HubSpot data, including contacts, companies, deals, tickets, marketing events, custom objects, and engagement metrics. Many tools capture relationships between these objects, such as which deals are linked to which contacts or companies, and track merged or archived records.

How to start pulling data in minutes from HubSpot

You can easily start with no-code platforms like Hevo. Simply connect your HubSpot account, choose the objects you want to sync, and let Hevo automatically extract, transform, and load your data into your warehouse.

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