TL;DR Short answer: the best Rivery alternatives in 2026 are Airbyte if you want open source, self-hosting and reverse ETL without credits; Fivetran or Hevo Data for hands-off managed ELT; Matillion or Integrate.io if you want Rivery's mix of ELT and transformation in one tool; and Estuary for real-time CDC. Most teams are looking because Boomi acquired Rivery in December 2024 and now sells it as Boomi Data Integration, billed in Boomi Data Unit credits that are hard to forecast. The 11 Rivery competitors compared:
Airbyte : open source, 700+ connectors, CDC and reverse ETL, self-hosted or cloud.Fivetran : fully managed ELT with 700+ vendor-maintained connectors.Hevo Data : no-code managed ELT with a free plan and published pricing.Matillion : the closest feature match for ELT, orchestration and in-warehouse transformation.Integrate.io : low-code ETL, CDC and reverse ETL on fixed-fee pricing.Estuary : real-time CDC and streaming, billed per GB moved.Skyvia : low-cost no-code ETL, reverse ETL and backup.Stitch : simple extract-and-load on row tiers from $100 a month.Meltano : open-source, code-first ELT on Singer taps.Informatica IDMC : enterprise integration with data quality and governance.Qlik Talend Cloud : integration, data quality and CDC from one vendor.Stay on Boomi Data Integration if you already use Boomi for application integration, or your Rivery pipelines run reliably and the credit bill is stable.Rivery built a loyal following as a serverless ELT platform that combined ingestion, SQL and Python transformation, orchestration and reverse ETL. Since Boomi bought it, the product is the same but the company around it is not. People searching for Rivery alternatives usually have a specific trigger: a renewal under Boomi terms, a credit bill that is hard to forecast, a missing source such as SAP, or a requirement to self-host. This guide tears Rivery down first, then compares 11 Rivery competitors on where each one beats Rivery, where Rivery still wins, and what it costs. For a head-to-head on the most common switch, see Airbyte vs Rivery .
Rivery teardown: where it breaks and where it still wins Rivery is a cloud ELT platform with 200+ managed connectors, change data capture, SQL and Python transformations, workflow orchestration and reverse ETL. Boomi announced its acquisition on 17 December 2024 and now markets it as Boomi Data Integration, while the product still runs at rivery.io. Its weaknesses mostly come from that change and from how it bills.
1. It is now one product inside an iPaaS suite Boomi's core business is application integration and API management. Rivery's technology now sits inside the Boomi Enterprise Platform, so its roadmap, packaging and support follow Boomi's priorities. Existing pipelines keep running, but teams that bought a focused ELT tool now renew with a much larger integration vendor.
2. Credits are hard to forecast Rivery bills in Boomi Data Unit (BDU) credits, formerly Rivery Pricing Units, at $0.90 per credit on the pay-as-you-go Base plan, with Pro Plus and Enterprise quoted. Credits are consumed differently by API sources, database tables, row counts and sync frequency, so estimating a new pipeline's cost means modelling its activity in advance. There is no free plan: the trial lasts 14 days or 1,000 credits, whichever comes first.
3. The connector catalogue has gaps With around 200 managed connectors, Rivery covers the common SaaS and database sources but has notable gaps, including SAP. You can call any REST API with a custom river, but you cannot modify the managed connectors themselves.
4. It is cloud-only Rivery is serverless and runs in its own cloud. That removes infrastructure work, but it also means there is no self-hosted option for teams whose security or residency rules require pipelines to run inside their own network.
Where Rivery still wins ELT, CDC, SQL and Python transformation, orchestration and reverse ETL in one serverless product. Pre-built templates that set up common pipelines and models quickly. A natural fit if you already run Boomi for application integration. If those matter more than cost predictability or self-hosting, staying on Boomi Data Integration is a legitimate answer.
Rivery alternatives compared at a glance Rivery is the first row, so you can see what each alternative actually changes.
Tool Best for Pricing model Entry price Self-host Reverse ETL Rivery / Boomi Data Integration (baseline) Serverless ELT with transformation and orchestration BDU credits $0.90 per credit; no free plan No Yes Airbyte Open source, self-hosting, custom connectors Data volume or capacity Free self-hosted; Cloud from $20/month Yes Yes, all editions Fivetran Fully managed ELT Monthly active rows per connection Free up to 500K MAR Hybrid Deployment on Enterprise Yes, Activations Hevo Data No-code managed ELT Events per month Free plan; Starter $299/month No Closed to new users Matillion ELT with heavy in-warehouse transformation Credits in annual packages Quoted Agents in your cloud account Limited Integrate.io Low-code all-in-one on a flat bill Fixed fee Quoted No Yes Estuary Real-time CDC and streaming Per GB moved plus connector instances Free 10 GB/month; then $0.50/GB Private and bring-your-own-cloud Via materializations Skyvia Low-cost no-code sync and backup Records per month Free 10K records; Basic $79/month billed annually On-premise agent Yes Stitch Small, simple SaaS pipelines Row tiers $100/month for 5M rows No No Meltano Code-first teams working in Git Free; you pay for infrastructure Free Yes Via Singer targets Informatica IDMC Enterprise governance and MDM Prepaid IPUs Quoted On-premises agents Via application integration Qlik Talend Cloud Integration with quality and CDC Capacity: data moved, executions, duration Starter $6,000/year Client-managed from Standard Via application integration
The 11 best Rivery alternatives and competitors Each entry covers where the tool beats Rivery, where Rivery still wins, what it costs and who it suits.
1. Airbyte Airbyte is the open-source data movement platform: 700+ connectors, ELT into every major warehouse and lake, log-based CDC for the major databases, and data activation (reverse ETL) on every edition. It runs as self-hosted Airbyte Core, Airbyte Cloud, or Enterprise Flex with the data plane in your own VPC, which covers the self-hosting gap Rivery leaves.
Key features 700+ connectors and a Connector Builder: build a missing source without code, with an AI assistant that reads the API docs, or use the low-code CDK.Log-based CDC: replicate inserts, updates and deletes from Postgres, MySQL, SQL Server, MongoDB and other databases.Data activation: sync modelled warehouse data back into CRMs and marketing tools, on every edition.AI-ready pipelines: load unstructured data into vector databases such as Pinecone, Weaviate and Milvus with chunking and embeddings, or work in Python with PyAirbyte.Where Airbyte beats Rivery More than three times the connectors: 700+ against Rivery's 200+, plus a no-code Connector Builder with an AI assistant for anything missing.Pricing you can forecast: Cloud plans are billed on data volume or dedicated capacity, not credits consumed per API call or table, and self-hosted Core is free.Self-hosting and hybrid: run pipelines inside your own network, which Rivery's serverless cloud does not allow.An independent roadmap: data movement is Airbyte's core product, not one module in an iPaaS suite.Where Rivery still wins Rivery runs transformations and orchestration inside the same product; with Airbyte you pair it with dbt and an orchestrator such as Airflow or Dagster. Pricing Airbyte Core is free to self-host. Airbyte Cloud Standard starts at $20 a month and Plus at $189 a month, both based on data volume, while Pro and Enterprise Flex are capacity-based and quoted.
Airbyte pros and cons Pros Cons Open source, with no licence fee for self-hosted Core. Self-hosting means your team runs upgrades and monitoring. The largest connector catalogue on this list, plus a builder for any gaps. Some long-tail connectors are community-maintained. Pricing on data volume or capacity rather than credits or rows changed. Transformation and orchestration come from dbt and a separate orchestrator.
Best for: teams leaving Rivery for predictable pricing, more connectors or self-hosting. For a feature-by-feature comparison, read Airbyte vs Rivery .
2. Fivetran Fivetran is a fully managed cloud ELT platform with 700+ vendor-built connectors, including SAP and other ERP sources, plus reverse ETL through Fivetran Activations. Since June 2026 it has been part of Fivetran + dbt Labs.
Key features Vendor-maintained connectors: 700+ sources with automatic schema migration when the source changes.High-volume database replication: log-based CDC for the major databases, including high-volume options for enterprise sources.Transformations and activation: schedule dbt models after each sync, and push data back out with Fivetran Activations.Data protection: column blocking and hashing keep sensitive fields out of the destination.Where Fivetran beats Rivery More than three times the connectors, with schema changes handled for you, and a free plan up to 500,000 MAR. Where Rivery still wins Built-in Python transformation and orchestration; Fivetran's monthly active row billing, with a $5 minimum per connection since January 2026, is no easier to forecast than credits. Pricing Free up to 500,000 MAR a month; paid plans are billed on monthly active rows, tiered per connection.
Fivetran pros and cons Pros Cons The least maintenance of any managed tool on this list. Monthly active row billing, with a $5 minimum per connection since January 2026. A very broad catalogue, including SAP and other ERP sources. You cannot change how a vendor-built connector behaves. Ingestion, dbt and reverse ETL from one vendor. No full self-hosting; Hybrid Deployment is limited to Enterprise plans.
Best for: teams that want the widest managed catalogue. Also see our guide to Fivetran alternatives .
3. Hevo Data Hevo Data is a no-code managed ELT platform with 150+ connectors, near real-time loading, transformations before load in Python or a drag-and-drop editor, and dbt support after load. It suits teams that liked Rivery's low-code approach but want a focused pipeline tool rather than a suite.
Key features Near real-time replication: log-based CDC for the major databases alongside 150+ SaaS and file sources.Transform before and after load: Python or drag-and-drop transformations in the pipeline, and dbt models in the warehouse.Automatic schema handling: maps source schemas to the destination and adapts when they change.Regional processing: choose a US, EU or APAC region to keep data in a jurisdiction.Where Hevo beats Rivery A free plan and published monthly tiers billed on events, where Rivery has no free plan and bills in credits. Where Rivery still wins Orchestration and reverse ETL; Hevo Activate, Hevo's reverse ETL product, is closed to new users, and Hevo has fewer connectors. Pricing A free plan covers small volumes; Starter is $299 a month billed monthly, with higher tiers above it.
Hevo Data pros and cons Pros Cons A free plan and published monthly tiers. Fewer connectors than Airbyte or Fivetran. Quick, no-code setup for small teams. Cloud-only, with no self-hosted option. Transformations can run before data lands. Hevo Activate, its reverse ETL product, is closed to new users.
Best for: small teams that want simple managed ELT on a predictable bill. Also see our guide to Hevo alternatives .
4. Matillion Matillion is the closest feature match among Rivery alternatives. Its Data Productivity Cloud combines extraction, orchestration and transformation pushed down into Snowflake, Databricks, Redshift or BigQuery, with a visual designer plus SQL, Python and dbt.
Key features Visual pipeline designer: drag-and-drop components mixed with SQL, Python and dbt.Pushdown ELT: transformations run as SQL inside Snowflake, Databricks, Redshift or BigQuery.Maia AI: AI agents that help build and document pipelines from natural-language instructions.Hybrid agents: run the data plane in your own cloud account so data stays in your infrastructure.Where Matillion beats Rivery Deeper visual transformation and orchestration, with agents that can run in your own cloud account so data stays in your infrastructure. Where Rivery still wins Pay-as-you-go entry and built-in reverse ETL; Matillion is sold in annual credit packages, and warehouse compute is billed separately. Pricing Credit-based and sold in annual packages through sales.
Matillion pros and cons Pros Cons The deepest visual transformation of any tool here. Sold in annual credit packages through sales, with no self-serve entry. Data can stay in your own cloud with hybrid agents. Warehouse compute is billed separately on top of Matillion credits. Works for both no-code users and engineers writing SQL or Python. A smaller connector library than Airbyte or Fivetran.
Best for: teams that want Rivery's mix of ELT and transformation with more depth. Also see our guide to Matillion competitors .
5. Integrate.io Integrate.io is a low-code data platform covering ETL, ELT, CDC and reverse ETL, which makes it the closest of the Rivery alternatives to Rivery's original all-in-one shape.
Key features Low-code transformation: a drag-and-drop designer with a large library of built-in transformations.Fast CDC: database replication as often as every 60 seconds.Reverse ETL and APIs: push warehouse data back into business apps, and connect any REST API.Security: field-level encryption and SOC 2 compliance, with GDPR and HIPAA support.Where Integrate.io beats Rivery Fixed-fee pricing that does not change with credits consumed, plus CDC as often as every 60 seconds. Where Rivery still wins More flexible SQL and Python transformation for engineering teams, and a pay-as-you-go way to start small. Pricing Fixed-fee plans, quoted by Integrate.io.
Integrate.io pros and cons Pros Cons Fixed-fee pricing that does not move with data volume. Plans are quoted rather than published. Transformations run before data lands. A smaller connector library than the largest platforms. ETL, CDC and reverse ETL in one tool. Less code-first control for engineering teams.
Best for: teams that want one low-code tool for loading and pushing data back, on a flat bill. Also see our guide to Integrate.io alternatives .
6. Estuary Estuary is the real-time option among Rivery alternatives. Its change data capture backfills history and then streams changes with sub-second latency, and one capture can feed several destinations.
Key features Streaming CDC with backfill: loads history first, then streams every change with sub-second latency.One capture, many destinations: durable collections feed a warehouse, a lake and an operational store from the same source.Streaming transformations: reshape data in flight with SQL or TypeScript derivations.Flexible deployment: public SaaS, private deployment or bring your own cloud.Where Estuary beats Rivery Streaming rather than scheduled CDC, simple per-GB pricing with a free tier, and private or bring-your-own-cloud deployment. Where Rivery still wins Built-in transformation, orchestration and templates; Estuary focuses on moving data. Pricing A free tier includes 10 GB a month and two connector instances; paid usage is $0.50 per GB moved plus a charge per connector instance.
Estuary pros and cons Pros Cons Real-time data with sub-second CDC latency. Streaming adds complexity if hourly batches are enough. Simple per-GB pricing with a free tier. Connector instance fees are charged on top of data moved. Private and bring-your-own-cloud deployment. A younger vendor with a smaller SaaS connector catalogue.
Best for: teams that need streaming CDC. For more options, see our guide to CDC tools .
7. Skyvia Skyvia is a no-code cloud platform for ETL, ELT, reverse ETL, data sync and backup, with 200+ connectors and visual or SQL transformations.
Key features Several products in one: ETL, ELT, reverse ETL, two-way sync and scheduled backup for cloud apps.Data flow designer: build multi-step pipelines visually, with control flows for branching and error handling.SQL access to data: query connected sources with SQL and expose them as OData or SQL endpoints.On-premise agent: reach databases behind your firewall without opening inbound ports.Where Skyvia beats Rivery A free plan, low published prices, and reverse ETL and backup included; an on-premise agent reaches databases behind your firewall. Where Rivery still wins Log-based CDC from production databases and Python-based transformation for engineering teams. Pricing Free for 10,000 records a month; Basic is $79 a month billed annually for 5 million records, with Standard and Professional plans above it.
Skyvia pros and cons Pros Cons A free plan and some of the lowest paid prices on this list. Record limits per tier, and one-minute schedules only on Professional. Reverse ETL, sync and backup included. No log-based CDC for high-volume production databases. Fully no-code for business users. Less suited to very large data volumes.
Best for: small teams syncing business apps on a budget. Also see our guide to Skyvia alternatives .
8. Stitch Stitch is a simple hosted extract-and-load service with 140+ connectors, owned by Qlik, which publishes a migration path from Stitch to Qlik Talend Cloud.
Key features Singer-based connectors: 140+ sources for SaaS apps and databases.Flexible replication: key-based incremental, full-table and log-based replication for the major databases.Import API and webhooks: push data from sources Stitch does not cover.Compliance on every plan: SOC 2 Type II and ISO 27001, including Standard.Where Stitch beats Rivery Published row tiers from $100 a month, so the bill is fixed within a tier. Where Rivery still wins Transformation, orchestration, reverse ETL and more connectors; Stitch only loads data, and Qlik is consolidating it. Pricing Standard starts at $100 a month for 5 million rows, with Advanced at $1,500 and Premium at $3,000 a month, billed annually.
Stitch pros and cons Pros Cons A low, published entry price of $100 a month. Standard is capped at one destination, 10 standard sources and 30-minute syncs. Very quick to set up. No transformation layer. A predictable bill within each tier. Qlik is consolidating Stitch into Qlik Talend Cloud.
Best for: small teams with a few standard sources. Also see our guide to Stitch alternatives .
9. Meltano Meltano is an open-source, CLI-first ELT framework built on Singer taps and targets, with pipelines version-controlled in Git. Matatika acquired the project in December 2025.
Key features Pipelines as code: projects are defined in YAML and version-controlled in Git, with environments for dev and production.Meltano Hub: hundreds of Singer taps and targets, plus the Singer SDK for writing your own.Plugin ecosystem: run dbt, Airflow, Dagster and other tools as plugins in the same project.State management: tracks incremental replication state so pipelines resume where they stopped.Where Meltano beats Rivery Free and fully self-hosted, with every pipeline defined as code and dbt as a first-class plugin. Where Rivery still wins A managed service with a UI; Meltano needs engineers to run it, and Singer tap quality varies. Pricing Free and open source; you pay for infrastructure and engineering time.
Meltano pros and cons Pros Cons Free and fully self-hosted. No UI for non-engineers. Everything as code, reviewed in Git. Singer tap quality varies widely. Runs dbt and orchestrators as plugins. A small company maintains it since the Matatika acquisition.
Best for: engineering teams that want a code-first workflow. For more options, see our guide to open source ETL tools .
10. Informatica IDMC Informatica's Intelligent Data Management Cloud combines integration with data quality, master data management and governance. Salesforce completed its acquisition of Informatica in November 2025.
Key features One cloud for data management: integration, data quality, MDM and data governance and catalog services in IDMC.CLAIRE AI: metadata-driven AI that suggests mappings, classifies data and automates routine work.Mass ingestion and CDC: bulk and change-based loading, including SAP and mainframe sources.Hybrid runtime: Secure Agents run jobs inside your network while IDMC manages them from the cloud.Where Informatica beats Rivery Governance, data quality and MDM, plus coverage of SAP, mainframe and other enterprise sources. Where Rivery still wins Far simpler and cheaper to adopt; IDMC usually needs specialists, and its IPU billing is no easier to forecast. Pricing Consumption-based in prepaid Informatica Processing Units (IPUs), quoted by sales.
Informatica pros and cons Pros Cons The most complete governance and MDM suite on this list. Prepaid IPU pricing is hard to forecast. Deep coverage of SAP, mainframe and other enterprise sources. Long implementations that usually need specialists. Hybrid deployment through Secure Agents. Its roadmap now follows Salesforce's priorities.
Best for: large enterprises that need governance. Also see our guide to Informatica alternatives .
11. Qlik Talend Cloud Qlik Talend Cloud combines Talend's integration and data quality tools with Qlik's log-based CDC, sold in Starter, Standard, Premium and Enterprise editions.
Key features Log-based CDC: real-time replication from Qlik's Replicate technology, including SAP and mainframe sources.Talend Studio: a visual designer for complex transformation jobs in the Premium and Enterprise editions.Data quality: profiling, cleansing and a trust score for datasets used in analytics and AI.Hybrid deployment: client-managed and hybrid options from the Standard edition up.Where Qlik Talend beats Rivery Data quality and governance, strong CDC including SAP and mainframe sources, and client-managed deployment from the Standard edition. Where Rivery still wins A lighter, faster setup; Qlik Talend Cloud bills on three capacity meters and its Starter edition costs $6,000 a year. Pricing Capacity-based; Starter is $6,000 a year for 50 GB of data moved a month on the AWS Marketplace, with higher editions quoted.
Qlik Talend Cloud pros and cons Pros Cons Integration, data quality and governance from one vendor. Three capacity meters: data moved, job executions and job duration. Strong real-time CDC, including SAP and mainframe. Starter costs $6,000 a year; higher editions are quoted. Cloud, hybrid or client-managed deployment. A steep learning curve, and the free Open Studio has been retired.
Best for: teams that want integration, quality and CDC from one vendor. Also see our guide to Talend alternatives .
Also worth a look for narrower needs: IBM DataStage, for large on-premises batch estates; Debezium, for self-managed CDC into Kafka; and dlt, an open-source Python library for code-first ingestion.
Who are Rivery's main competitors? Rivery competes with four kinds of tools, depending on which part of it you rely on:
Open source and self-hosted: Airbyte and Meltano.Managed ELT: Fivetran, Hevo Data, Stitch and Skyvia.All-in-one ELT and transformation: Matillion and Integrate.io, plus Estuary for real-time CDC.Enterprise suites: Informatica IDMC and Qlik Talend Cloud.Which Rivery alternative fits your use case? Your situation Best-fit alternative Why Credit bills are hard to predict Airbyte, Integrate.io, Hevo Data Volume, fixed-fee or event pricing You need to self-host Airbyte, Meltano Run pipelines inside your own network A source is missing, such as SAP Airbyte, Fivetran, Qlik Talend Cloud Larger catalogues and enterprise sources You rely on in-pipeline transformation and orchestration Matillion, Integrate.io Transformation built into the platform You use Rivery's reverse ETL Airbyte, Integrate.io, Skyvia Activation in the same tool as ingestion You need real-time data Estuary Streaming CDC Governance comes first Informatica, Qlik Talend Cloud Data quality and governance suites
How to migrate from Rivery to another tool Inventory your rivers. List every source-to-target river, logic river and reverse ETL river, with schedules, credit usage and downstream consumers.Map each layer to a tool. Ingestion goes to your new ELT tool, SQL and Python logic to dbt or warehouse SQL, orchestration to Airflow, Dagster or the new tool's scheduler, and reverse ETL to the new tool's activation.Run in parallel and reconcile. Load into a separate schema while Rivery keeps running, plan for a fresh historical load, and compare row counts and key aggregates.Cut over and stop credit usage. Repoint downstream models one source at a time, disable each river once stable, and time the last cutover to your Boomi renewal.Which Rivery alternative should you choose? Start with why you are moving. If it is credit pricing or lock-in, Airbyte gives you open source, self-hosting and reverse ETL with volume or capacity pricing. If you want Rivery's all-in-one shape, Matillion is the closest feature match and Integrate.io the closest flat-fee option. For the least upkeep, Fivetran or Hevo Data; for real-time CDC, Estuary; and for governance, Informatica or Qlik Talend Cloud. Pilot your shortlist on your highest-credit rivers before you commit.
For a wider view of the market, see our guide to the top data integration tools .
Frequently asked questions What happened to Rivery? Boomi announced its acquisition of Rivery on 17 December 2024. Rivery is now marketed as Boomi Data Integration, built on Rivery's technology inside the Boomi Enterprise Platform, and still runs at rivery.io.
What is the best alternative to Rivery? For most teams, Airbyte: it is open source, has 700+ connectors, includes CDC and reverse ETL, and can be self-hosted. Matillion is the closest feature match, Fivetran and Hevo Data are the main managed options, and Estuary is best for real-time CDC.
Who are Rivery's competitors? Rivery's main competitors are Airbyte, Fivetran, Hevo Data, Matillion, Integrate.io, Estuary, Skyvia, Stitch, Meltano, Informatica and Qlik Talend Cloud.
How much does Rivery cost? Rivery bills in Boomi Data Unit credits, formerly RPU credits, at $0.90 per credit on the pay-as-you-go Base plan, with Pro Plus and Enterprise quoted. There is no free plan; the trial lasts 14 days or 1,000 credits.
Is there an open-source alternative to Rivery? Yes. Airbyte is open source with 700+ connectors, CDC and reverse ETL, and can be self-hosted. Meltano is a code-first open-source option built on Singer taps.
Rivery vs Fivetran: which is better? Fivetran has more than three times the connectors and less to manage; Rivery adds Python transformation, orchestration and reverse ETL in the same product. Both use consumption billing, monthly active rows for Fivetran and credits for Rivery.
Is Airbyte better than Rivery? For more connectors, self-hosting and pricing that does not depend on credits, yes. If you want transformation and orchestration inside the same managed product, Rivery is more integrated.
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