Top 10 Fivetran Alternatives in 2026

Fivetran is one of the most established ELT platforms on the market. It offers 700+ connectors, reliable syncs, and minimal maintenance. But its usage-based pricing model has become increasingly complex. Per-connection MAR billing, a $5 base charge per connection, and separate billing for transformations and reverse ETL (Activations) make it hard to predict what you'll actually pay each month.

If you're evaluating alternatives, this article covers 10 platforms worth considering. We compare each on pricing, connectors, deployment options, and what they're best suited for.

Quick comparison

1. Weld

Weld is a modern ELT platform that combines data extraction, transformations, and reverse ETL in a single product. It's built for teams that want to set up production-grade pipelines quickly without managing infrastructure or stitching together multiple tools.

Weld includes an AI-powered SQL editor, dbt integration, orchestration, data lineage, and version control out of the box. Pricing is subscription-based with included MAR, connectors, and users, so there are no surprises on your bill.

What stands out:

• 300+ connectors for SaaS tools, databases, and ad platforms, plus custom connector support
• Built-in reverse ETL to push data back to tools like HubSpot, Google Sheets, and Salesforce
• AI SQL editor and dbt integration for transformations
• Orchestration, data lineage, and version control included
• Predictable pricing with no per-row billing surprises
• Enterprise features: SSO, 2FA, audit logs, CDC, REST API
• Sync frequencies from daily down to every 5 minutes

Limitations:

• Cloud-only (no self-hosted option)
• Focused on cloud data warehouses, less suited for heavy on-prem setups
• Complex custom ETL logic may still require engineering effort

Pricing: Starts at €79/month (Basic, 2 connectors, 5M MAR). Premium plan at €319/month with 6 connectors and 10M MAR. See full pricing.

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2. Airbyte

Airbyte is an open-source data integration platform with one of the largest connector libraries available. It offers both a self-hosted version (free) and a managed cloud option. The open-source model makes it popular with technical teams who want full control over their pipelines.

Airbyte moved to capacity-based pricing in 2025, charging per credit based on rows and data volume rather than a flat subscription.

What stands out:

• Open-source core with a managed cloud option
• 550+ connectors (community and certified)
• Python SDK and low-code connector builder for custom sources
• Self-hosted version is free to run

Limitations:

• Self-hosted deployments require ongoing maintenance and monitoring
• Connector quality varies between community-maintained and certified connectors
• Better suited for teams with engineering resources
• No built-in transformation layer

Pricing: Cloud pricing is credit-based at $2.50 per credit (1M rows = ~6 credits). Self-hosted is free. See pricing.

3. Stitch Data

Stitch Data is a lightweight ELT tool built on the Singer open-source framework. It's designed for straightforward data ingestion into warehouses without a lot of configuration. Stitch was acquired by Talend (now part of Qlik) and fits well within that ecosystem.

What stands out:

• Quick setup with minimal configuration
• Built on the Singer tap/target ecosystem for broad source coverage
• Clear, row-based pricing tiers
• Fits naturally into the Qlik/Talend ecosystem

Limitations:

• Smaller native connector catalog than most modern platforms
• Pricing can jump significantly between tiers
• Volume limits can become restrictive at scale
• No built-in transformation or reverse ETL capabilities

Pricing: Starts at $100/month for 5M rows. See pricing.

4. Hevo Data

Hevo Data is a no-code ETL/ELT platform built for teams that want fast setup and minimal maintenance. Its drag-and-drop interface makes it accessible to non-technical users, and it supports both forward and reverse ETL.

What stands out:

• Supports both ETL and ELT workflows
• No-code interface that's easy for non-technical users
• Includes reverse ETL capabilities
• Fully maintained connectors with automatic schema drift handling

Limitations:

• Limited features for advanced or complex pipeline workflows
• Basic scheduling options compared to more flexible platforms
• Only 50 connectors available on the Free plan
• Error messages and pipeline diagnostics could be more detailed

Pricing: Starts at $299/month for 5M rows. Free plan available with limited connectors. See pricing.

5. Matillion

Matillion is a cloud-first ETL/ELT platform aimed at enterprise teams working with Snowflake, BigQuery, or Redshift. It offers a visual, low-code interface for building pipelines and transformations, along with scheduling, monitoring, and orchestration features.

What stands out:

• Visual pipeline builder with low-code interface
• Strong dbt integration
• On-premise deployment options available
• Supports both ETL and ELT workflows
• Deep integration with major cloud warehouses

Limitations:

• Credit-based pricing can spike with heavy usage
• Steeper learning curve compared to simpler ELT tools
• Requires more upfront investment and implementation time
• Primarily targets larger teams and enterprise budgets

Pricing: Credit-based at $2.00 per credit. See pricing.

6. Rivery

Rivery is a managed ELT platform that supports data loading, post-load transformations, and reverse ETL. It includes a GUI for building custom integrations and supports Python for more advanced logic.

What stands out:

• Custom integrations via a built-in GUI
• Reverse ETL support
• Python integration for advanced pipeline logic
• Solid customer support

Limitations:

• Cannot transform data before loading (no pre-load ETL)
• Pricing model is credit-based and can be hard to predict
• UI becomes less ergonomic with complex pipelines
• Documentation has gaps in some areas

Pricing: Credit-based at $0.75 per credit (100MB of data replication). See pricing.

7. Portable

Portable focuses on long-tail connectors that other platforms often don't support. It's an extract-and-load service with flat per-connector pricing and no volume-based fees. If you need to pull data from niche APIs, Portable is worth evaluating.

What stands out:

• 1,000+ connectors including many niche and uncommon sources
• On-demand custom connector development at no additional cost
• Flat per-connector pricing with no row or volume fees
• Fully managed connector maintenance (handles API and schema changes)

Limitations:

• Extract and load only. No in-platform transformations
• No reverse ETL features
• Limited scheduling granularity
• Cloud-only with no self-hosted option

Pricing: Flat fee per connector (no volume charges). See pricing.

8. Estuary

Estuary Flow is a real-time data integration platform built for both batch and streaming pipelines. It uses change data capture (CDC) and supports low-latency data movement with exactly-once delivery guarantees.

What stands out:

• Real-time data sync with sub-second latency
• Change Data Capture (CDC) support for databases
• Automatic schema evolution with exactly-once delivery
• Good fit for teams that need streaming without managing Kafka

Limitations:

• Smaller community than more established platforms
• Connector catalog is still growing (100+ currently)
• Requires some event-oriented thinking for pipeline design
• Can get expensive for smaller teams

Pricing: Consumption-based at $0.50/GB consumed plus per-connector fees. See pricing.

9. Meltano

Meltano is an open-source ELT framework built around Singer connectors and developer-friendly workflows. It's designed for version-controlled, CI/CD-driven pipelines and is popular with teams that want full ownership of their ingestion stack.

What stands out:

• Fully open-source and CLI-first
• Version-controlled pipeline configuration (Git-native)
• SDK for building custom Singer taps and targets
• Modular architecture that integrates with dbt, Airflow, and others

Limitations:

• No fully managed cloud service (self-hosting required)
• Higher maintenance overhead than managed platforms
• Steep learning curve for non-developers
• Transformations are typically handled via dbt, not built in

Pricing: Free (open-source, self-hosted). Paid support packages available. See pricing.

10. dlt (dltHub)

dlt is an open-source Python library for building code-first ELT pipelines. It handles schema inference, incremental loading, state management, and retries automatically. It runs in any environment and integrates with orchestrators like Airflow and Prefect.

What stands out:

• Open-source and free
• Schema inference and automatic incremental loading
• Works with any Python environment and orchestrator
• Lightweight: no platform lock-in, runs anywhere

Limitations:

• No graphical interface. Everything is code
• Requires engineering to deploy, schedule, and monitor
• Smaller community compared to larger platforms
• Limited built-in transformations (focused on extract and load)

Pricing: Free and open-source. See docs.

How to choose the right alternative

The best Fivetran alternative depends on your team, budget, and technical needs:

• Want predictable pricing with ELT, transforms, and reverse ETL in one tool? Look at Weld.
• Have a strong engineering team and want open-source flexibility? Airbyte or dlt are solid choices.
• Need niche connectors that nobody else supports? Portable specializes in long-tail sources.
• Need real-time streaming and CDC? Estuary is built for that.
• Want a no-code setup for a non-technical team? Hevo Data keeps things simple.
• Running an enterprise data team on Snowflake or BigQuery? Matillion offers deep cloud warehouse integration.

For most teams evaluating Fivetran today, the main pain point is pricing predictability. If that's your concern, platforms with fixed-tier or subscription-based models will save you from the MAR billing surprises that come with usage-based pricing.

Additional resources

• Fivetran pricing explained
• Compare Fivetran vs. Weld
• Best ETL tools in 2026
• Fivetran migration guide