9 Fivetran Alternatives in 2026: Pricing, Migration Effort and When to Switch
Nine alternatives for data and platform leaders deciding whether to leave Fivetran. Each entry compares pricing, migration effort, operator, and fit.
Fivetran prices each connection on its own MAR curve. History mode can count later versions of the same changed row again, so a growing bill is hard to trace to one rate.
A replacement can lower the vendor bill while adding infrastructure, engineering, monitoring, and incident work. The lowest advertised pricing unit does not identify the best alternative. Migration effort, operational ownership, and sources outside the connector catalog can change the result. This comparison helps you decide which option to examine and when staying on Fivetran costs less overall.
9 Fivetran alternatives at a glance
Pricing models differ enough that the billing unit alone cannot determine cost.
| # | Tool | Group | Best for | Pricing model |
|---|---|---|---|---|
| 1 | dltHub | Cloud-native ETL | Python pipelines and custom sources | Credits per runtime hour |
| 2 | AWS Glue | Cloud-native ETL | Serverless data integration | DPU-hours and service usage |
| 3 | Matillion Scale | Cloud-native ETL | SaaS or hybrid relational CDC | Matillion Credits |
| 4 | Hevo Professional | Managed ELT | Hosted streaming pipelines | Events and On-Demand Credit |
| 5 | Stitch Advanced | Managed ELT | Managed private connectivity | Replicated rows and events |
| 6 | Airbyte Cloud Standard | Managed ELT | Fully managed cloud replication | Rows or data volume |
| 7 | Estuary Flow Cloud | Change data capture tools | Real-time SQL CDC | GB and task hours |
| 8 | Striim Cloud Enterprise | Change data capture tools | Initial load followed by CDC | Events, compute, and data transfer |
| 9 | Qlik Replicate | Change data capture tools | Customer-operated replication | Contact sales; unit unpublished |
Pricing and product information comes from each vendor's public website and documentation, linked in the text, as reviewed on 29 October 2026. Vendors change prices and plans without notice, so check the linked source or contact the vendor for current terms. Where a vendor does not publish a price, the article says so.
Where should your team start?
Start with the operating model and workload, not the lowest rate. The same vendor charge can cover different amounts of infrastructure and recurring engineering work.
Use this table to select the first group to examine.
| If your team… | And you’re moving… | Start with… |
|---|---|---|
| Owns Python or cloud jobs | Workloads needing custom logic | Cloud-native ETL |
| Wants hosted replication | Application, database, API, or file data | Managed ELT |
| Needs continuous database changes | Database workloads, including hybrid environments | Change data capture tools |
| Values its present managed service | Workloads covered at acceptable cost | Stay on Fivetran |
Compare the same cost scope for each option. The FinOps Foundation includes applicable technology, management, support, labor, downtime, and productivity costs in total cost of ownership. Google SRE also treats repetitive operational work, including pager response and manual scripts, as engineering toil. Include these costs only where they apply to your operating model.
Parallel operation should remain a migration phase, not the final architecture. Martin Fowler’s gradual replacement approach ends when the old path disappears. Use this migration planning guide to prepare the inventory, validation, cutover, and retirement work.
Cloud-native ETL
Cloud-native ETL fits teams that want control over pipeline code or execution. The three options differ in deployment, infrastructure ownership, and work outside their catalogs.
1. dltHub
Best for: Data and platform teams with Python skills that want to own pipeline code while dltHub operates its runtime.
How it works: Pipeline code stays in your repository. dltHub runs that code, schedules jobs, and records runs, schemas, and lineage. dltHub also patches the managed runtime, handles recovery, and retains logs.
Pricing: The dltHub plan costs USD 12,000 per month, includes 5,000 monthly credits, and requires a 12-month commitment billed monthly. One credit covers one runtime hour at the standard rate.
Sources outside the connector catalog: dltHub Context lists 10,000+ sources, each with the context a coding agent uses to build that pipeline. For unlisted sources, your engineers build and maintain a Python pipeline, while dltHub runs the runtime. This avoids paying an ingestion vendor while separately operating infrastructure for that custom pipeline.
Migration effort: dltHub rebuilds agreed pipelines, preserves table and column names, and runs replacements beside Fivetran. It compares schemas and row counts before your team approves production cutover.
Customer responsibilities: Your team supplies credentials, reviews code and parity reports, reconciles reports, approves critical pipelines, and names a maintainer.
Limitation: The plan requires a 12-month commitment, and your team names a maintainer and owns the Python pipeline code after handover.
2. AWS Glue
Best for: Teams that want serverless data integration and can own job code and configuration.
How it works: AWS Glue runs Spark or Ray jobs on demand, on schedules, or from events. AWS manages the service infrastructure and scales resources on demand.
Pricing: AWS primarily charges for Data Processing Unit-hours, billed per second. Its example rate is USD 0.44 per DPU-hour, with rates varying by Region. Other AWS charges can apply.
Sources outside the connector catalog: Use Marketplace connectors, custom connectors, or extraction logic in a Glue job. Your team owns that custom code and its configuration.
Migration effort: Rebuild ingestion as Glue jobs. Use job bookmarks where the connector supports them. Your team designs backfills, reconciliation, and cutover.
Customer responsibilities: Your team configures job code, connections, credentials, identity and access management, dependencies, monitoring, and alarms.
Limitation: The native Snowflake connector does not support job bookmarks or streaming jobs.
3. Matillion Data Productivity Cloud Scale
Best for: Teams that need full SaaS or customer-hosted execution, with relational CDC in the Scale tier.
How it works: Matillion hosts the infrastructure for full SaaS. Hybrid customers deploy, upgrade, scale, and monitor their execution infrastructure.
Pricing: Matillion Credits cover task hours and additional developer users through fixed annual packages. Matillion publishes no tier pricing.
Sources outside the connector catalog: The Maia custom connector defines REST API calls through query, URI, and header parameters.
Migration effort: Recreate ingestion and transformation pipelines in Matillion. Your deployment choice determines how much infrastructure work your team retains.
Customer responsibilities: Your team owns pipeline design. Hybrid customers also own the execution infrastructure, upgrades, scaling, and monitoring.
Limitation: CDC and hybrid deployments require the Scale tier. Its streaming pipelines accept relational database sources only.
Managed ELT
This group keeps hosted execution with each vendor. Hevo, Stitch, and Airbyte Cloud Standard differ in their meters, uncommon-source paths, and customer duties.
4. Hevo Data Pipeline Professional
Best for: Teams that want a public, multi-tenant SaaS pipeline service with streaming execution.
How it works: Hevo schedules and monitors connector tasks, retries failed events, and adds workers when queue thresholds require them.
Pricing: Professional starts at USD 750 per month. Hevo meters Events and additional On-Demand Credit.
Sources outside the connector catalog: The REST API source supports GET or POST, pagination, and Basic or OAuth 2.0 authentication.
Migration effort: Hevo’s database procedure supports an optional historical load, reused destination settings, manual transformation copying, verification, and a controlled cutover.
Customer responsibilities: Your team configures pipelines and transformation logic, corrects source data as needed, and performs cutover checks.
Limitation: Hevo Data Pipeline runs only as a multi-tenant SaaS service.
5. Stitch Advanced
Best for: Teams that want managed replication with private connectivity and can work within its destination limits.
How it works: Stitch runs replication in its cloud service. Your team configures sources, destinations, selected data, and connections.
Pricing: Stitch Advanced costs USD 1,500 per month and includes 100 million rows per month and three destinations.
Sources outside the connector catalog: The Import API receives data but does not pull it. For another source, build a Singer tap that sends records to the API.
Migration effort: New integrations receive a seven-day exemption for their initial historical load. Destination rules determine keys, updates, and nested-data handling.
Customer responsibilities: Your team owns setup, replication selections, and alert review. It also defines reconciliation and cutover under the migration plan.
Limitation: Advanced includes three destinations. Paid additions can raise an account to a maximum of ten.
6. Airbyte Cloud Standard
Best for: Teams that want fully managed cloud replication for APIs, databases, files, and custom sources.
How it works: Airbyte handles hosting, upgrades, support, and sync execution. Standard schedules syncs as often as hourly.
Pricing: Airbyte Cloud Standard costs USD 20 per month and includes five credits. API and custom-source use costs six credits per million rows. Database and file use costs four credits per GB.
Sources outside the connector catalog: The Connector Builder creates source connectors and publishes them to the workspace. Other sources can use the Python CDK or a Docker-based connector.
Migration effort: Recreate connections, run stream refreshes or full backfills, and apply schema controls before validation and cutover.
Customer responsibilities: Airbyte documents job monitoring, but it does not allocate monitoring responsibility for Standard. Its documentation also does not allocate responsibility for custom connector operation.
Limitation: Standard’s shortest documented sync schedule is hourly. It does not fit continuous CDC workloads.
Change data capture tools
Change data capture tools fit database workloads that need continuous or near-real-time updates. Deployment ownership and the vendor’s exact latency wording separate these products.
7. Estuary Flow Cloud
Best for: Teams that want hosted continuous data flows and documented real-time SQL CDC.
How it works: Captures and materializations ingest changes and update destinations. Estuary operates Cloud infrastructure, control-plane functions, runtime shards, and checkpointing.
Pricing: Estuary Flow Cloud charges USD 0.50 per GB captured, delivered, or read through derived collections, plus task hours. Initial backfills are free for 30 days.
Sources outside the connector catalog: A capture runs a connector packaged as a Docker image. Sources that push data can use the HTTP Ingest connector.
Migration effort: Collections retain history for later backfills, while recovery logs record checkpoints. Your team defines reconciliation and cutover criteria.
Customer responsibilities: Your team creates and monitors data flows and controls their configuration and updates.
Limitation: Third-party capture connectors run in batches. The documented continuous CDC behavior applies to the SQL CDC group.
8. Striim Cloud Enterprise
Best for: Teams that want a managed initial load followed by continuous CDC.
How it works: Striim creates linked applications for initial load and CDC. It starts CDC after the initial load finishes.
Pricing: Striim requires a sales quote. Its consumption terms meter events, compute, and transfer, but these components do not form a complete starting price.
Sources outside the connector catalog: Sources use supplied source readers, including HTTP Reader. External Kafka connectors can feed data through Striim Connect.
Migration effort: Recovery and validation support linked applications and some adapters. Replication can stay active while applications move.
Customer responsibilities: Your team configures connections, pipelines, service-VM sizes, node counts, and selected alerts. It also defines migration acceptance under the migration plan.
Limitation: Striim Cloud Enterprise uses a single server. Mission Critical is required for clustering, failover, and automatic load redistribution.
9. Qlik Replicate
Best for: Teams that can operate replication across on-premises, cloud, or hybrid environments.
How it works: Full Load and CDC can run together. CDC reads recovery logs and applies committed changes near real time. Your team installs and operates the Replication Server and endpoints.
Pricing: Contact Qlik sales for a quote. Qlik publishes no billing unit, rate card, minimum, or starting price for Replicate.
Sources outside the connector catalog: Build custom endpoint types with the Custom Endpoint SDK.
Migration effort: An interrupted Full Load resumes from its stopping point. Source processing can continue, while CDC changes wait until each table finishes loading.
Customer responsibilities: Your team operates the Replication Server, configures endpoints, and performs upgrades. It also defines validation and cutover under the migration plan.
Limitation: Qlik publishes neither a starting price nor a billing unit.
When should you switch from Fivetran?
Switch when Fivetran’s cost, work outside its catalog, or deployment and CDC constraints outweigh the managed operation that you give up.
Stay when your connectors meet requirements, the bill is acceptable or predictable, and Fivetran’s connector maintenance is worth more than the expected savings.
Fivetran alternatives FAQ
How does Fivetran MAR pricing work in 2026?
Fivetran applies a separate MAR curve to each connection. Standard syncs count each distinct inserted, updated, or deleted row once during a calendar month. History mode counts later changed versions again.
Pay-as-you-go connections with 1 to 1,000,000 MAR have a USD 5 minimum. Inactive connections and those with no paid MAR are excluded. Annual contracted spend has a USD 12,000 minimum on the same billing page. Activations moved to MAR-based pricing on 1 February 2026, but contract-specific timing and exclusions are not documented.
How long does a Fivetran migration take?
There is no supported universal duration. A federal migration roadmap ties duration to scope, source inventory, dependencies, data volume, transformations, validation, downtime limits, personnel, tools, and unresolved risks.
That roadmap covers inventory, trial work, validation, production migration, and temporary parallel operation. TOGAF migration planning supports staged work, while the GSA playbook ends with stabilization and retirement. Backfill depends on the selected product and source.
Which alternatives fit real-time CDC?
Estuary documents continuous SQL CDC and says changes can propagate within milliseconds. Striim describes near-real-time updates without a numeric commitment. Qlik says Replicate applies committed changes near real time. These are vendor descriptions, not results from one shared performance test.
Does Fivetran offer hybrid deployment?
Yes. Fivetran offers Hybrid Deployment on Enterprise and Business Critical plans. Pipeline processing runs through a customer-hosted agent, while Fivetran retains the control plane.
The hybrid agent requires Kubernetes or a Linux machine with Docker or Podman. Your team supplies compute, storage, scaling, and outbound connectivity. Supported systems and agent placement limits vary by installation method.
Book a call to try dltHub for the migration and managed runtime described above.