Best Airtable ETL Tools to Consider in 2025

Airtable has become a favorite for teams that need flexibility without the complexity of a full-fledged database. From startups to large enterprises, it powers workflows across the business.

But as businesses scale, Airtable alone isn’t enough. Its data often stays siloed, leaving teams to manage CSV exports, clean messy files, and copy-paste into BI tools. This results in stale dashboards, inconsistent reports, and wasted hours on repetitive tasks.

In this article, we’ll explore the top 10 Airtable ETL tools in 2025, comparing features, pricing, pros, and cons so you can choose the best fit for your team.

What Are Airtable ETL Tools?

Airtable ETL tools are specialized data integration platforms that extract data from your Airtable database, transform it, and load it into destination systems like data warehouses or BI platforms. 

These tools eliminate manual CSV exports and automate the entire ETL workflow from Airtable to your analytics stack. Unlike generic ETL tools, Airtable-specific solutions understand the platform’s unique data structure, including linked records, attachment fields, and collaborative features.

In short, they automate what would otherwise be a time-consuming and error-prone process, giving you real-time, reliable insights.

Top 10 Airtable ETL Tools

1. Hevo

G2 Rating: 4.4 (266)

Hevo is a no-code data pipeline that connects Airtable through its REST API. While it doesn’t have a native connector, its REST API approach is more flexible. It can handle complex Airtable structures, such as linked records, attachment fields, and dynamic schema changes with ease.

This makes it ideal for connecting marketing campaign tables, sales pipeline bases, and project management workflows directly to modern data warehouses.

What sets Hevo apart is its automation and adaptability. It automates authentication, rate limiting, and pagination, while transforming raw JSON into clean, analytics-ready tables. With incremental syncing and error recovery, it ensures smooth, reliable data pipelines.

Key features

• Custom field mapping: Allows you to map Airtable’s unique field types, such as checkboxes, multi-selects, and collaborators, into warehouse-ready formats to enable selective syncing.
• Broad warehouse support: Offers integration with leading destinations, like BigQuery, Snowflake, Redshift, and more, with its 150+ connectors.
• Transformation options: Enables pre-built transformations to run before or after data lands in your warehouse, with the option to add custom Airtable SQL or Python scripts for better control.
• Multi-base and workspace sync: Helps you consolidate data across multiple Airtable bases and workspaces into unified pipelines without needing separate connections.

Pros

• It is HIPAA, CCPA, GDPR, and SOC 2 Type II compliant.
• Dedicated customer support for all users.
• Predictable pricing.

Cons

• No on-premise deployment support.
• Advanced transformations may require technical support.
• Airtable’s API limit changes may require updates for efficiency.

Pricing

Hevo offers a straightforward pricing model.

• Free Plan: Supports up to 5 users with 1M monthly events.
• Starter Plan: Starting at $239/month, includes 5M events, scalable to 50M for up to 10 users.
• Professional Plan: Starting at $679/month, covers 20M events, scalable to 100M for unlimited users.
• Business Critical: Customized enterprise option for workloads exceeding 100M events.

You can also try out the tool with a 14-day free trial.

Hevo is very easy to set up (the whole process is self explanatory) and has a lot of integrations. It also allows for a lot of flexibility with Rest API and Webhook integrations. The UI is very well tought out and the whole product feels professional. I should also point out the Consumer Service, which is great and very helpfull. I get answers every time I talk to them, and I feel my problems are being taken seriously.

Verified user

Financial Services Software

2. Fivetran

G2 Rating: 4.2 (440)

Fivetran is a fully managed solution that natively connects with Airtable and ingests data into your warehouse or data lake. It’s ideal for teams that want a dependable pipeline with automatic schema handling.

Fivetran automates the first full sync, manages incremental updates, and uses Airtable Webhooks to keep data fresh.

With access to over 700 pre-built connectors, the tool makes it easy to combine Airtable data with CRMs, advertising platforms, databases, and more, without needing extra engineering work.

Additionally, it supports Airtable Microsoft Teams integration, ensuring quick updates and smooth collaboration.

Key features

• Centralized monitoring dashboard: Provides a single view to track pipeline health, sync status, and latency.
• Data normalization: Offers structured, analysis-ready tables by flattening Airtable’s nested and linked records.
• Granular sync control: Enables flexible scheduling, from every 6 hours to near real-time 1-minute syncs for higher-tier plans.
• Enterprise-grade security: It’s compliant with SOC 2, GDPR, and HIPAA, and ensures data protection with encryption in transit and at rest.

Pros

• Can handle large datasets.
• 99.9% uptime SLA.
• Role-based access control.

Cons

• Pricing gets expensive fast.
• Doesn’t support pre-load transformations.
• Customer support varies by plan.

Pricing

Fivetran’s pricing is calculated based on the Monthly Active Rows (MAR) for each connector, which reflects the number of rows added and updated in a given month.

The platform provides a free tier that includes up to 500,000 MAR and 5,000 monthly model runs. For advanced requirements, paid subscriptions begin at $500 per month for the first million MAR, with a 14-day free trial.

3. Airbyte

G2 Rating: 4.4 (65)

If you want complete flexibility and control over your Airtable workflow, Airbyte offers a combination of cloud and open-source options. Its community-focused approach guarantees rapid updates and open development.

It offers over 600 ready-to-use integrations, simplifying Airtable data extraction. If you want to avoid vendor lock-in and still access advanced features like Change Data Capture and schema evolution, Airbyte is a reliable data integration solution.

Key features

• Incremental data replication: Offers efficient syncs that capture only changed data, reducing processing time and costs.
• Secure authentication options: Provides OAuth and API key authentication that keeps your Airtable integrations safe and compliant.
• Pre-built data type conversion: Enables automatic mapping of Airtable fields to standardized data types, thereby simplifying downstream analytics.
• Custom connectors: Lets you build or extend Airtable connectors with Airbyte’s Connector Development Kit (CDK), so that teams can tailor integrations to unique workflows.

Pros

• Granular data access controls.
• Free to start with.
• Offers easy orchestration with tools like Airflow, Dagster, and Prefect.

Cons

• High operational overhead.
• UI might be less intuitive for beginners.
• Community-built connectors may require extra validation before production use.

Pricing

Airbyte offers a flexible pricing structure to suit different needs. Its Open Source Edition is free forever and self-hosted, while the Cloud plan starts at $10 per month.

Teams and Enterprise options provide scalable, cloud, or self-hosted solutions with custom pricing and advanced governance. You can also try its 14-day free trial.

4. Skyvia

G2 Rating: 4.8 (265)

Skyvia is a cloud-based ETL platform that automates Airtable data workflows without coding. It is ideal for syncing, importing, and exporting Airtable data across over 200 sources and destinations, including cloud apps, databases, and spreadsheets.

The platform provides visual mapping, filtering, and transformation tools, making it easier to prepare Airtable data for reporting and analysis. You can schedule regular Airtable syncs or perform one-time migrations to ensure data stays up to date across systems.

Skyvia differentiates itself with strong support for advanced Airtable schemas, UPSERTs, and high-volume data.

Key features

• Custom API and Query access: Provides SQL API and OData REST API access to query Airtable data and publish it for external applications.
• Supports attachments and comments: Offers full support for Airtable attachment fields and record comments, ensuring all content is included in your workflows.
• Bulk data operations: Enables efficient DML operations, such as insert, update, and delete, to manage large Airtable datasets quickly.
• Advanced data orchestration: Provides dependency management and automated multi-step workflows for complex Airtable processes to run smoothly.

Pros

• Predictable pricing.
• Hybrid connectivity to both cloud and on-premise databases.
• Supports incremental, one-way, and bidirectional syncs.

Cons

• Advanced features, such as automation and query, are charged separately.
• The backup feature is not available for Airtable.
• Limited flexibility for technical teams.

Pricing

Skyvia offers a subscription-based pricing model with a 14-day trial.

• Free: Allows 10,000 monthly records.
• Basic: Starting at $99/month for 5M monthly records for ELT workflows.
• Standard: Starting at $199/month for 5M monthly records for ELT and ETL workflows.
• Professional: Starting at $249/month for 5M monthly records for advanced data pipelines.
• Enterprise: Custom pricing for enterprise support.

5. Portable

G2 Rating: 4.8 (23)

With Portable, you can set up reliable pipelines quickly without coding, which is valuable for analytics and reporting workflows.

Its strength lies in the long-tail coverage with more than 1,000 connectors and the ability to build new ones on request. This makes it flexible enough to support unique use cases, such as Airtable to Snowflake pipelines.

Portable automates schema handling and API updates, saving your team time on maintenance.

Key features

• Custom field mapping: Offers flexibility to select, rename, or restructure Airtable fields before syncing them into target destinations like Redshift.
• Strong error handling: Ensures stability through retry logic, detailed logging, and alerts for quick resolution of failed syncs.
• Scheduled workflows: Allows you to schedule syncs based on your data requirements.
• Integration with BI tools: Enables connections with visualization platforms, which makes Airtable Power BI integration and similar workflows fast and low-maintenance.

Pros

• Transparent and predictable pricing.
• Supports initial historical sync.
• Dedicated customer support.

Cons

• Less control over infrastructure.
• Limited transformation options.
• Learning curve for advanced features.

Pricing

Portable offers a subscription pricing model with free demos available for higher-tier plans.

• Starter: $590/month with a 7-day trial, includes a 24-hour sync frequency.
• Scale: $1,790/month with a 15-minute data sync cycle.
• Pro: $2,790/month with 15-minute data sync cycle.
• Enterprise: Custom cost for over 20 scheduled data flows.

6. Coupler.io

G2 Rating: 4.8 (84)

Coupler.io is a no-code data integration platform that automates data workflows between Airtable and various destinations, such as Google Sheets, Excel, Power BI, Tableau, and BigQuery.

You can schedule automated refreshes every 15 minutes to ensure dashboards remain updated. The platform supports combining data from multiple Airtable bases or other sources to gather comprehensive insights across marketing, sales, and operations.

Its intuitive interface and fast setup make it ideal for teams seeking efficiency and accuracy in data management.

Key features

• Append or replace data: Provides options to either add new Airtable entries or completely overwrite existing data when exporting.
• Direct exports: Lets you export Airtable data directly as CSV or JSON files for integrating with custom APIs or third-party applications beyond standard spreadsheets and BI tools.
• In-app data preview: Provides a visual snapshot of Airtable data before export to verify and adjust records without leaving the platform.
• Extensive transformation module: Enables filtering, joining, formatting, and using custom formulas on Airtable data to make it analysis-ready before loading.

Pros

• Security protocols like TLS encryption and GDPR compliance.
• Predictable pricing.
• Pre-built dashboard templates.

Cons

• Doesn’t support complex transformations through SQL or Python.
• No on-premise support.
• High-volume transfers might face delays.

Pricing

Coupler.io offers a subscription plan with a 7-day free trial.

• Free: One data connection and 100 rows per run for one user.
• Personal: $32/month for 5 connections and one user.
• Professional: $132/month for 25 connections and five users.
• Team: $259/month for 100 connections and 10 users.
• Business: $599/month for 400 connections and unlimited users.

7. Rivery

G2 Rating: 4.8 (84)

Rivery makes working with Airtable data easier through its visual ‘Rivers’ workflow builder. Airtable data can be transferred into Snowflake, BigQuery, or Redshift without complex setup.

Simply connect through OAuth2 or API key, enter your Base ID, and Rivery automatically detects tables and manages schema changes. This ensures a smooth sync that stays reliable over time.

Beyond standard ETL, Rivery offers flexibility with post-load transformations, Airtable Python scripting, and custom integrations. This helps you connect Airtable to advanced analytics workflows or everyday tools like Excel.

Key features

• Pre-built API connectors: Connects to Airtable and other SaaS platforms, thereby removing the need for manual coding and making data extraction faster.
• Data model Kits: Offers ready-to-use templates called ‘Kits’ for structuring common business data and ensuring consistency.
• Full observability: Offers a unified dashboard for monitoring and logging, which gives you a clear view of consumption data, audit, logs, and real-time alerts.
• Reverse ETL: Allows you to push processed insights back into Airtable or other operational systems to close the loop between analytics and execution.

Pros

• Offers flexible orchestration.
• It’s SOC2 Type II certified and GDPR and HIPAA compliant.
• Excellent customer support.

Cons

• Beginners might face a learning curve.
• Large-scale pipelines may slow down the UI performance.
• Volume-based pricing gets expensive with scale.

Pricing

Rivery calculates pricing using Boomi Data Units (BDU). Plans start at $0.90 per BDU credit with customized higher plans available. It provides a 14-day trial.

8. CData Sync

G2 Rating: 4.2 (19)

CData Sync keeps Airtable data in sync with databases like MySQL, SQL Server, and Snowflake. It runs scheduled replications so your reports and dashboards always reflect the latest information.

It works in both cloud and on-premise setups, so it is flexible for teams that need reliable information for analytics, compliance, or day-to-day operations.

One of its strengths is the wide library with over 250 connectors. You can send insights to Tableau, Power BI, or even automate Airtable to Excel workflows with solutions like JDBC, ODBC, Python, SSIS, and ADO.NET options.

Key features

• Transformation support: Provides filtering, mapping, and transformation options so your data is structured correctly before loading into the target database.
• Embedded SQL engine: Offers an in-built SQL engine that enables custom queries and logic to handle advanced use cases without external tools.
• Scalable infrastructure: Scales to handle growing volumes, ensuring consistent performance for both small Airtable examples and enterprise-level deployments.
• Reverse ETL: You can move processed information back into Airtable and stay aligned with real-time workflows.

Pros

• Protects data in transit and at rest with encryption.
• Reliable customer support.
• Optimizes incremental updates for efficiency.

Cons

• Steep learning curve.
• Expensive for smaller teams.
• Advanced features like premium connectors and flexible transformations are additionally charged.

Pricing

CData Sync follows a subscription model with a 30-day free trial.

• Standard: $7,999/year for five standard connections and up to 100M rows per month.
• Quote: Custom quote for advanced features like CDC, API connector, REST API access, and more.

9. Estuary Flow

G2 Rating: 4.8 (20)

Estuary Flow provides a real-time ETL and CDC platform that links Airtable to modern pipelines with under 100ms latency. It works for both batch and streaming workloads, and captures inserts, updates, and deletes the moment they occur.

With an intuitive interface, you can configure Airtable as your source, choose a destination or a warehouse, and rely on Estuary to manage schema drift, backfills, and exactly-once delivery.

This makes it useful for teams evaluating data integration vs ETL strategies, since it handles both real-time syncs and historical loads in one platform.

Key features

• Deployment flexibility: Provides adaptable deployment options across public, private, or self-hosted Bring Your Own Cloud (BYOC) setups to meet compliance and scalability requirements.
• Built-in testing and monitoring: Offers continuous validation and real-time monitoring so you can detect issues before they impact downstream systems.
• Reusable collections: Enables the use of standardized, reusable collections for Airtable integrations, making it easier to scale.
• Developer-friendly automation: Provides automation support with custom Airtable Scripts and APIs to help developers simplify complex workflows.

Pros

• Advanced transformation languages like SQL and TypeScript.
• SOC 2 Type II compliant.
• Automates complex engineering tasks.

Cons

• Learning curve for custom use cases.
• Requires advanced optimization for high-volume pipelines.
• UI can feel slow with large workloads.

Pricing

Estuary provides a free plan where you can get started with 10GB and two connector instances per month. The paid plan charges $0.50 per GB and a maximum of $100 per connector for up to 12 connector instances.

You can also opt for the 30-day free trial and customize your plans based on your requirements.

10. Stitch

G2 Rating: 4.8 (265)

Stitch is a cloud-based ETL tool that helps you create quick, dependable pipelines without a technical setup. While it doesn’t natively support Airtable, you can build a custom connector using the Singer framework.

Once the connector is in place, Stitch automatically moves data in bulk at first and then keeps it current with incremental updates. Schema changes are also managed in the background, reducing the need for constant maintenance.

Stitch supports more than 130 integrations, including CRMs, ad networks, SQL, and NoSQL databases, and flat files. This makes it a solid choice if you want to centralize data from different sources into a single warehouse.

Key features

• Transformation flexibility: Provides teams with the choice to run transformations downstream in a warehouse or integrate their own tools.
• Scalable pipelines: Enables pipelines to expand easily as volumes grow and handle larger loads and parallel processes without major reconfiguration.
• Role-based access: Enables you to assign team members with permissions that match their function and keep control over who can manage pipelines.
• Advanced connectivity: Supports secure data movement with enterprise-grade options like SSH tunnels and IP whitelisting to protect pipelines against unauthorized access.

Pros

• Predictable pricing.
• Built-in monitoring and alerts.
• Efficiently loads large amounts of data.

Cons

• Depends on third-party tools for uncommon integrations.
• Limited real-time sync support.
• Some users reported slow response time for lower-tier plans.

Pricing

Stitch provides a subscription-based pricing model.

• Standard: Starting at $100/month for 5M rows.
• Advanced: $1,250/month for 100M rows.
• Premium: $2,500/month for 1B rows.

It also offers a 14-day free trial.

What Are the Key Factors in Selecting the Right ETL for Airtable?

Here are some factors to keep in mind while choosing the right ETL tool for Airtable:

1. Ease of use and technical expertise

If you don’t have a data engineering team, look for a no-code or low-code platform that lets you set up pipelines without writing scripts. On the other hand, if you are comfortable with SQL or Python, advanced tools give you more flexibility.

2. Connector coverage

You’ll want an ETL tool that not only supports Airtable but also connects easily with your data warehouse, BI tool, and any other apps in your stack. A wide connector library reduces the need for custom integrations. However, if you work with uncommon tools, look for an ETL tool that offers strong custom connector options.

3. Data volume and frequency requirements

Consider how often your data changes. If your use case requires real-time syncs, such as updating customer data across platforms, you’ll need a tool built for streaming. If your workflows are more batch-oriented, a solution optimized for scheduled transfers may be more cost-effective.

4. Transformation complexity

If you need to join multiple data sources, standardize fields, or run enrichment steps, choose a tool that offers flexible transformation options. Some platforms give you drag-and-drop functionality, while others let you code transformations for better control.

5. Pricing model

ETL pricing can be tricky, with models ranging from pay-per-row to flat-rate subscriptions. Consider how much your data will grow over time and choose a model that won’t cause costs to spike unexpectedly.

6. Compliance and security requirements

Ensure the ETL provider supports compliance standards relevant to your industry, like GDPR, SOC 2, or HIPAA. Look for features, such as encryption, access controls, and audit logs, to keep your data safe.

Why Should You Choose Hevo?

Hevo simplifies REST API integration with Airtable by removing the ETL challenges that usually slow teams down. Instead of dealing with authentication, rate limits, or complex pagination, Hevo’s REST API framework manages these automatically.

It supports GET and POST requests, custom headers, and query parameters as required. It automatically detects main data points in your API responses, including custom fields and linked records that many basic connectors might lack.

Configuration is visual and straightforward, aligning with ETL best practices. You simply provide the Airtable base URL and credentials, and Hevo handles authentication methods like Basic Auth or OAuth 2.0. It also processes JSON responses and validates settings in real-time.

Additionally, Hevo’s built-in transformation layer lets you clean, map, and enrich Airtable data before sending it to your warehouse, making it analytics-ready.

With transparent pricing, 24/7 support, and strong compliance, Hevo ensures enterprise reliability without the overhead.

Want to give it a try? Start your 14-day free trial today!

FAQs about Airtable ETL tools