Comparing Hevo vs Fivetran (2026): Which ELT Tool Should You Choose?

Hevo and Fivetran are both ELT platforms that help teams move data from different sources into a destination. Both offer pre-built connectors, automated data pipelines, and ongoing data synchronization.

But the two platforms differ in how they handle pricing, connectors, support, and migration. These differences matter whether you are choosing an ETL platform for the first time or considering a move from one platform to another.

The questions you need to answer are often practical ones:

• How will the monthly bill change as data volumes grow?
• Does the platform support the exact sources and data you need?
• What happens when a production pipeline breaks?
• How quickly can you get help when something goes wrong?
• If you are migrating, how much work will it take to move your existing Pipelines?
• How do you check that the new pipelines produce the same results before switching over?

Fivetran customer feedback includes positive comments about easy setup, connectors, and low maintenance.

Users are also raising concerns about unpredictable billing, delayed support response times, sync failures, and the technical effort required for more complex use cases.

Hevo customer feedback includes positive comments about predictable pricing, excellent customer support, and easy setup.

In this comparison, we look at Hevo and Fivetran across pricing, support, and connectors. We also cover what migration entails and how teams can run Pipelines in parallel to validate their data before making the switch.

Ready to Leave Fivetran? Here Is Your Migration Playbook

Learn how to move your pipelines from Fivetran to Hevo without downtime, schema breaks, or lost data.

Download for Free

Hevo vs Fivetran: A Quick Comparison

Factor	Hevo	Fivetran
Reviews	4.4/5 on G2	4.3/5 on G2
Custom connectors	Connect AI for REST-based custom connectors (2 Hours to build)	Connector SDK and other custom connector options (Hours to Days to build)
Schema handling	Auto-mapping, schema management, and flexible destination mapping	Automatic schema detection and source-to-destination replication
Transformations	Included in pricing	Charged separately based on transformation usage from 0.01 to 0.1$
Monitoring	Smart alerts, automatic retries, faulty record isolation, and a full activity log for every pipeline run	Detailed logs, alerts, and automatic retries
Support	24/7 expert support for all paid plans	Limited support responsiveness based on plan and severity
Pricing model	Fixed unlimited volume pricing	MAR-based pricing: Varies by usage, with a $5 base charge per standard connection and separate charges for transformations and activations.
Connector coverage	150+	700+

What is Hevo?

Hevo is a modern, reliable data pipeline platform that helps data teams move data from a variety of sources to major cloud warehouses with simplicity, transparency, and reliability.

Hevo helps data teams connect their data sources, configure their Destinations, and start moving data with an easy setup. It also supports historical loads, incremental replication, and CDC for accurate, ongoing data movement.

With unlimited-volume pricing, built-in pipeline monitoring, and 24/7 human support, Hevo is perfect for teams that want to move and manage data without adding more operational workload as their pipelines grow.

Key Features

1. Easy to Use

Get started in minutes with a guided, no-code setup that requires no scripting or infrastructure management. Build, monitor, and scale data pipelines through a simple visual interface designed for speed and ease.

2. Scalable

Hevo automatically scales to handle growing data volumes and high-throughput workloads without downtime or manual tuning. Its performance-first design ensures consistent speed, even as pipeline complexity increases.

3. Unlimited Volume Pricing in the Enterprise plan

Use unlimited-volume pricing to avoid increasing platform costs as the amount of data you move grows. This gives teams a simpler way to plan their data integration budget without having to track additional charges for each increase in volume.

4. 360° Visibility

Track every pipeline in real time through unified dashboards, detailed logs, and data lineage views. Batch-level checks help detect anomalies early, keeping your data accurate, consistent, and fully trustworthy across all systems.

We did a proper evaluation between Hevo and its competitors. We realized that Hevo provided the best value out of all of them; it had all the features that we wanted at a price that we were comfortable with. It was the best option for us.

Prudhvi Vasa

Head of Data

View Customer Story

What is Fivetran?

Fivetran is a fully managed ELT platform designed to simplify data movement across hundreds of sources with minimal manual effort. Known for its extensive library of prebuilt connectors, it allows teams to centralize data quickly without managing infrastructure or pipeline maintenance.

Fivetran is widely known for its managed ELT approach and library of prebuilt connectors, making it easy to get data flowing quickly. It’s a good choice for teams that want a hands-off setup.

However, many teams soon hit roadblocks with unpredictable pricing, inconsistent support responses, and limited customization. Alternatives now offer more flexibility, transparent pricing, and control over how data flows.

Key Features

• Transformation: Fivetran uses a dbt Core integration to run transformations after data is loaded into your warehouse.
• Connector Library: Offers a wide range of prebuilt connectors, though users have limited flexibility over what data is extracted or excluded.
• Data Syncs: Runs automated batch-based ELT jobs; real-time syncs are restricted to higher enterprise plans.
• Schema handling: Detects and updates source schema changes automatically.
• Compliance: Includes SOC 2 Type II and HIPAA compliance for data protection.

Both platforms can supercharge data pipelines, but which one is the right fit for your team? Let’s break down their key features, differences, and ideal use cases.

If you are looking to switch from Fivetran, check out our blog on Top 11 Fivetran Alternatives.

Hevo vs Fivetran: In-depth Feature & Use Case Comparison

If you’re evaluating Hevo and Fivetran, you’re likely dealing with growing data pipelines or a complex enterprise environment. The best choice depends on your priorities: speed and simplicity vs. scale and depth of enterprise features. 

Here’s how they compare across four critical areas, with a clear takeaway for each.

1. Replication Modes

Hevo supports three replication modes:

Replication Mode	How It Works	Key Benefit
Log-Based Replication	Uses WAL (Write-Ahead Logs) with TEST_DECODING	Highly efficient and low impact on production systems
Table Mode	Executes SQL on the database to extract changed rows based on a modified timestamp column	Works even if WAL is unavailable
Custom SQL	Allows writing custom queries to extract only the needed data	Ideal for selective or complex data extraction

Hevo is designed to reduce load on production databases while maintaining reliable replication. This makes it a strong choice for teams working with high-traffic, performance-sensitive systems or rapidly scaling datasets.

Fivetran offers two replication modes:

Replication Mode	How It Works	Limitation
Teleport Syncs	Captures a snapshot of the full table and compares it with the previous snapshot to detect inserts/updates/deletes	Requires primary keys and becomes resource-heavy and slow with very large or fast-growing tables
Log-Based Replication	WAL with Pgoutput, WAL with TEST_DECODING, and Xmin	Runs in batch mode, flushing logs only after replication completes, which reduces reliability during sudden data spikes or high data volume

Teleport Syncs works well only when tables are moderately sized and changes are predictable. Fivetran’s log-based replication can struggle with high data volume or unpredictable spikes due to its batch-flush mechanism.

Choose Fivetran if you have moderate data sizes, predictable batch-based replication needs, and a schema that fits Fivetran’s conditions.

2. Real-Time Streaming

Hevo is designed as a stream-first platform, built on Kafka. This enables near real-time data movement – a strong fit for teams that depend on fast updates and continuous pipelines.

Fivetran, by contrast, operates primarily in batch mode. Most customers experience hourly data transfers, which works well for predictable workloads that don’t require instant updates, but does not deliver real-time streaming for all use cases.

Users report that Hevo’s architecture offers greater flexibility and responsiveness for real-time data pipelines.

3. Schema Management

Fivetran follows a strict 1:1 schema approach. It reproduces the source schema and table structure exactly in the destination.

This is useful if you want a fully faithful replica – but it limits flexibility when working across multiple databases or namespaces.

Hevo provides a much more customizable schema experience, including the ability to:

• Push multiple databases or schema namespaces into a single destination schema
  
• Merge identical tables across different sources into one consolidated table
  
• Apply prefixes to destination tables to standardize naming across the organization
  

4. Transformation Capabilities

Fivetran supports limited pre-load transformations through its UI (e.g., dropping columns or masking fields).

Most data shaping happens after loading, via dbt, for more advanced transformation logic.

Hevo offers more robust pre-load transformation options, enabling users to shape the data before it reaches the warehouse – via drag-and-drop workflows or custom Python scripts. With Hevo, teams can:

• Clean and filter data early
  
• Convert currencies or measurement units
  
• Exclude unwanted rows
  
• Save warehouse compute cost by loading only relevant, properly formatted data

For post-load transformations, both Hevo and Fivetran integrate with dbt Core.

5. Pricing and Cost of Ownership

Hevo’s transparent, event-based tiers make it easy for teams to predict and manage monthly costs. At the same time, Fivetran’s MAR-based pricing is opaque and unpredictable for teams handling large or fast-growing datasets.

Below is a clear side-by-side comparison of how both platforms structure their pricing:

Aspect	Hevo Data	Fivetran
Pricing Model	Transparent subscription pricing with fixed event limits	MAR-based pricing; costs increase with data volume
Free Plan	Free Trial: 1M events; 50+ SaaS connectors	Free Plan: 500K MAR; limited data throughput
Entry-Level Plan	Starter: $239/month for 5M events; supports SaaS + some DBs	Starter: 1-hour syncs; does not include database connectors
Mid-Tier Plan	Professional: $679/month for 20M events; supports streaming + low latency	Standard: DB connectors + 15-min syncs; some connectors still restricted
Enterprise Plan	Business Critical: real-time streaming, RBAC, SSO, VPC Peering, advanced security	Enterprise: 1-min syncs, premium connectors; may use HVR for real-time
Cost Predictability	Highly predictable; minimal billing surprises	Harder to estimate; MAR usage can spike unexpectedly
Best For	Teams wanting clarity and predictable scaling	Teams needing enterprise connectors and fast syncs

6. Security and Compliance

Hevo supports a wide range of global regulations, including GDPR, HIPAA, SOC 2, CCPA, and DORA, making it suitable for regulated industries and European financial services. 

Fivetran provides robust compliance as well but does not include DORA and offers less flexibility in how global teams isolate or segment data environments.

Category	Hevo Data	Fivetran
Compliance	GDPR, HIPAA, SOC 2, CCPA, DORA	SOC 2 Type 2, PCI-DSS, ISO 27001, HIPAA, GDPR (no DORA)
Data Security	AES encryption at rest and in transit	PrivateLink (AWS, Azure, GCP) supported
Authentication	SAML 2.0, 2FA, SSH, reverse SSH, VPC peering	SAML 2.0, 2FA, SSH, reverse SSH, VPC peering
Workspaces	Up to five isolated workspaces per domain	Single workspace setup
Global Flexibility	Strong multi-region and multi-team setup	Limited workspace flexibility
Error Detection	Automated error correction + Slack/email alerts	Similar automated correction + alerts

Why Data Teams Prefer Hevo Over Fivetran

The main differences become clearer when you look at the problems teams are trying to solve. Hevo approaches pricing, support, and connector gaps differently from Fivetran.

1. Pricing

Fivetran charges for connections and monthly active rows (MAR), and transformations are measured separately through Monthly Model Runs, with prices ranging from $0.01 to $0.10 per model run. Each connection also has its own usage curve, and standard connections with low monthly usage can carry a $5 base charge.

That structure becomes harder to budget when the number of changing rows, connections, destinations, transformations, or activations changes month to month, which is the norm for growing companies. 

On the other hand, Hevo’s new volume-based pricing model includes unlimited-volume pricing, so teams can plan around their workload without treating every increase in data movement as another variable in the bill.

With Hevo, as your workload scales, your end-of-month bill stays predictable, without any surprises.

What this means for your team: Compare the expected monthly workload against both pricing models, including historical loads, high-update tables, transformations, and planned pipeline growth.

2. Support

Fivetran offers different levels of support across plans, with premium support features and faster response times reserved for the enterprise plan only.

Unlike Fivetran, Hevo offers 24/7 support from real humans to all paid customers and promises the same fast turnaround times to every one of them.

The support model includes (Applicable to all pricing plans)

• 24/7 human support: Get help from real support experts whenever you need it, rather than relying only on documentation.
• Hands-on onboarding: Get assistance while setting up pipelines and getting workloads running.
• Agentic monitoring: Resolves 98% of issues proactively. It identifies pipeline anomalies early, rather than waiting for the customer to report every problem.
• Fast incident handling: Hevo reports an MTTR of under three minutes 

Fivetran also claims to provide 24/7 global coverage, but the initial response commitment changes by plan. Most customers complain that it takes 48+ hours for the tickets to be resolved, forcing customers to pay for the enterprise-level support.

What this means for your team: During evaluation, do not ask only whether support exists. Ask how quickly the team responds, who handles the issue, and what help is available on the plan you are actually buying.

3. Connector Coverage & Flexibility

Fivetran’s 700+ connectors are a major advantage when your data stack includes many enterprise and niche applications.

Connector count alone does not tell you whether a platform will support your pipeline. What matters is whether the vendor supports the specific connector you need and whether that connector can handle the objects, configurations, and edge cases in your workflow.

Hevo focuses on 150+ business-critical connectors, with an emphasis on connector coverage and on supporting your pipeline requirements rather than simply maximizing the number of connectors.

Moreover, when the connector you need is not already available, Hevo gives you two routes:

• Connector SWAT: Request a custom connector built for your source.
• Connect AI: Provide the REST API documentation, then use Connect AI to create a connector without writing integration code or managing infrastructure.

Hevo’s Connect AI approach is particularly useful for teams that need a lightweight REST API based source connected quickly. Once created and validated, Hevo manages the connector as part of the platform.

What this means for your team: Take your actual source list and test every required object before comparing connector counts.

Predictable bills. Fast support. That's Hevo.

Hevo offers unlimited-volume pricing and 24/7 human support, so you can get speedy resolutions without upgrading to an enterprise tier.

Try Hevo

How Easy Is It to Migrate From Fivetran to Hevo?

The effort involved in moving from Fivetran to Hevo depends on your sources, pipeline configurations, historical data volume, and transformations. 

Hevo helps reduce this work by replicating your existing Fivetran schema and table names, providing custom connector options, and assigning a dedicated Migration Squad to help with the transition.

The migration follows four phases: a pilot in week one, parallel running in week two, and a full migration and cutover after week two. You run Fivetran and Hevo in parallel to validate the data and pipeline performance before completing the switch.

Phase 1: Audit Your Current Fivetran Setup

The goal is to know exactly what you are moving, so nothing gets left behind.

• Work with our Migration Squad to take inventory of all your connectors, pipeline configurations, transformations, and downstream tools.
• Once that is done, map each Fivetran connector to a Hevo equivalent. If there are any gaps, request the SWAT team to build a custom connector or build it using Connect AI, our connector builder agent.
• Define the success criteria with the Migration Squad before moving anything.

Phase 2: Run a Pilot Migration (Week One)

The goal is to prove that the migration works with zero risk before going all in.

• Sign up for your Hevo account and connect your destinations.
• Configure your first batch of high-volume connectors with the Migration Squad’s help.
• Validate the data quality and generate a parity report to confirm that Hevo replicates the exact Fivetran schema and table names.

Phase 3: Run Both Platforms in Parallel (Week Two)

The goal is to demonstrate stability before decommissioning Fivetran and fully migrating to Hevo.

• Run both systems side by side and monitor data drift.
• Our Migration Squad will track sync performance and schema changes to ensure everything is working properly.
• Validate the pipelines and get stakeholder sign-off.

Phase 4: Full Migration and Cutover (After Week Two)

After running both platforms in parallel and obtaining stakeholder sign-off, the goal is to migrate all remaining connectors and fully retire Fivetran.

• Our Migration Squad will help you configure the remaining connectors in batches.
• Schedule the cutover during a low-traffic window.
• Run a final sync in both systems and decommission the Fivetran connectors.

For the complete migration process, including validation and cutover checks, read the Fivetran migration guide.

Hevo vs Fivetran: Which Platform Fits Your Team?

Hevo and Fivetran both handle managed data movement, but the practical differences show up in the areas teams deal with after the initial setup.

Hevo is ideal for teams that want:

• A predictable monthly billing
• 24/7 human support
• Focused coverage of business-critical connectors
• End-to-end pipeline visibility

Fivetran is still a strong option for enterprise companies, as it offers 700+ connectors.

The right comparison should therefore use your actual workload. Look at the monthly data volume, number of connections, high-update tables, transformation requirements, support expectations, required source objects, and the downstream systems that would be affected by migration.

Ready to compare the two platforms using your own data stack? Request a Hevo demo and discuss your current Fivetran setup with the Hevo team.

Move to Hevo with zero downstream impact

Hevo’s Migration Squad replicates your Fivetran schema and table names, runs both platforms in parallel, and validates every pipeline before you cut over.

Talk to the Migration Squad

Frequently Asked Questions