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Top 6 Rivery Competitors and Alternatives for 2026

Rivery is now Boomi Data Integration. Compare the best Rivery alternatives on connectors, deployment and pricing, including open-source options.

October 9, 2026

Last updated October 13, 2026

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TL;DR

Short answer: Rivery no longer exists as a standalone product. Boomi acquired it in December 2024 and now sells it as Boomi Data Integration within its wider platform. If that change is why you are here, the question is whether you want another suite, a managed ELT service, or something open source you control. Six alternatives:

Airbyte: 700+ connectors, open source, and self-hostable if data cannot leave your network. The option most often chosen by teams specifically wanting to avoid vendor lock-in.
Informatica: enterprise integration with governance and lineage. Note Salesforce completed its acquisition in November 2025.
IBM DataStage: heavy transformation and legacy source coverage. IBM now markets it as watsonx.data integration.
Fivetran: 700+ vendor-maintained connectors and the least upkeep, billed on monthly active rows.
Matillion: the closest match to Rivery's mix of ELT, orchestration and in-warehouse transformation, billed in credits.
Hevo Data: no-code managed ELT with pre-load transformation, cloud-only and billed on events.

Rivery alternatives are being looked at for a specific reason in 2026: Boomi acquired Rivery in December 2024 and now sells it as Boomi Data Integration. If you signed up for a focused ELT product and now find yourself inside a broader integration suite, with different packaging and a different roadmap, it is a reasonable moment to check what else is available. The six alternatives below cover open-source, managed and enterprise options.

What happened to Rivery?

Rivery was a data integration and replication platform offering around 200 pre-built connectors across applications, warehouses and file storage, with low-code ELT and change data capture. The important update for anyone comparing options now: Boomi announced its acquisition of Rivery on 17 December 2024, and Rivery is no longer sold as a standalone product. Boomi's own page states plainly that Rivery is now Boomi Data Integration, built on Rivery's technology inside the wider Boomi Enterprise Platform. Existing pipelines continue to run, but the product you buy today is a component of an iPaaS suite rather than a standalone ELT tool, and that is the main reason teams are re-evaluating.

Standout Features

Automated Workflows: With Rivery, you can automate every step of your data integration process. There are built-in tools for data transformation and workflow orchestration that conduct complex data processing in a short time. You can even execute multi-step SQL-based transformations and data manipulations seamlessly within the chosen cloud data warehouse.‍
Predefined Reports: Rivery provides you with predefined reports that can be tailored to your specific needs. Each report comes with a concise description of the data it covers, allowing you to understand its relevance to your business objectives. Schematic mapping is provided to show how your data is structured and organized. Additionally, there are customizable fields and custom reporting functionalities to build the report per your requirements.‍
Proactive Alerts: Rivery provides you with a unified dashboard to give you a comprehensive view of your entire data flow. To step up the security, you can create custom alerts that automatically notify key team members of anomalies or issues detected in your data pipelines. You can use the dashboard to drill down to specific events and minimize data downtime with the alerts.

Pricing

Rivery was priced on RPU credits across Starter, Professional and Enterprise plans. Since the Boomi acquisition, pricing and packaging now follow Boomi Data Integration rather than the old Rivery plans, so treat any published Rivery pricing as historical and ask Boomi for current terms.

Tool	Category	Key strengths	Connectors	Pricing
Rivery (baseline)	Now Boomi Data Integration	Low-code ELT with CDC and orchestration, inside the Boomi platform	~200	Follows Boomi packaging since 2024
Airbyte	Open-source ELT	Log-based CDC, Connector Builder and CDK, vector destinations, PyAirbyte	700+	Free self-hosted; Cloud volume-based; Pro and Flex capacity-based; Enterprise quoted
Informatica	Enterprise integration	CLAIRE AI engine, governance and lineage, hybrid and multi-cloud	Hundreds	Quoted, IPU-based
IBM DataStage	Enterprise ETL	Parallel engine, QualityStage data quality, catalog-backed metadata	Enterprise connectors	Consumption-based as a service; quoted on-premises
Fivetran	Managed ELT	Automatic schema handling, column hashing, sync recovery	700+	Monthly active rows, with a free tier
Matillion	Cloud ELT	Pushdown transformation, orchestration, dbt support	100+	Credits by job runtime
Hevo Data	No-code managed ELT	Pre-load transformation, near real-time sync	150+	Events, with a free tier

Which Rivery alternatives should you consider?

The six alternatives below cover the realistic options: one open source you can host and extend, three managed ELT platforms, and two enterprise suites. Each entry notes what it gives up as well as what it gains.

1. Airbyte

Airbyte is an open-source data integration platform with 700+ pre-built connectors and a community of more than 25,000 members. Where it differs most from Rivery is control: you can self-host it entirely, build connectors it does not have using the CDK or the no-code Connector Builder, and avoid being tied to a vendor's packaging decisions.Connectors are maintained by both Airbyte and its community, so gaps get filled by users rather than waiting on a vendor roadmap. Long-tail community connectors do vary in maturity, which is the trade-off against a fully managed catalogue.

Standout Features

Connector Development Kit: build connectors for sources Airbyte does not cover, either with the no-code Connector Builder or in code with the CDK, so a missing source is something you can fix yourself rather than wait for.
AI Connector Builder: Airbyte offers an AI-powered assistant for its Connector Builder feature. Developed in collaboration with Fractional AI, this potent feature automates the process of building custom connectors, allowing you to establish a data pipeline quickly and easily. To know more, check out this hands-on tutorial.‍
Change Data Capture (CDC): This feature lets you capture changes or modifications made to your dataset at the source and migrate it to your data warehouse. While setting up the data pipeline, you can set up an incremental sync frequency. The Airbyte pipeline will sync the changed data from the source and update the dataset at your destination. It is a faster way to keep your data up-to-date and save yourself from the hassle of migrating the entire dataset every now and then.‍
Compatibility with LLM Providers: Airbyte provides you with a pre-built set of LLM providers, such as OpenAI, Cohere, and Anthropic. You can use them to generate embeddings and transform your data before storing it in a vector database of your choice.‍
RAG Transformations: To improve the performance and outcomes of your large language models, you can perform RAG transformations by integrating your LLM frameworks with Airbyte. ‍

Pricing

Airbyte Core is free to self-host. Airbyte Cloud comes in Standard and Plus plans with volume-based pricing, while Pro and Enterprise Flex are capacity-based, with Enterprise Flex running the data plane in your environment while Airbyte manages the control plane. Pro and Enterprise Flex are quoted; you can talk to the sales team for details.

How does Airbyte compare with Rivery?

Since Airbyte is one of the leading competitors of Rivery, take a look at a few reasons why you should consider this alternative:‍

‍More Connectors: Compared to Rivery’s 200+ connectors, you can find several different data sources and destinations in Airbyte. The platform has one of the most widespread connector libraries in the data integration industry, even allowing you to build custom connectors within minutes.‍
PyAirbyte: Airbyte offers an open-source Python library, PyAirbyte, that provides you with a set of utilities to use Airbyte connectors in Python. You can create, manage, and deploy custom data pipelines and conduct various transformations on your data through this feature.‍
Process Unstructured Data: Airbyte provides a unique feature that allows you to move unstructured data, such as text-based data, from different sources. Using Airbyte’s extensive catalog of source connectors, you can migrate unstructured datasets to vector databases that have features to help you extract meaningful insights.‍
Build End-to-end RAG Applications: Using Airbyte’s Snowflake Cortex destination, you can create a personal vector store directly within Snowflake. You can further leverage Snowflake Cortex functions to perform Retrieval-Augmented Generation (RAG), which can significantly improve your chatbot operations.‍
Large open-source community: Airbyte has a community of more than 25,000 data engineers, so connector fixes and new sources arrive from users rather than only from a vendor roadmap.
User-friendly UI: In Airbyte, configuring source and destination from your data pipeline only takes a few minutes. In two steps, you can migrate your data from several sources into a desired database storage system of your choice. This is because of Airbyte’s simple and easy-to-use graphical interface.

2. Informatica

Informatica is an enterprise data integration platform built on its Intelligent Data Management Cloud (IDMC), with elastic, serverless compute that scales with data volume and runs across hybrid and multi-cloud estates. It is the most governance-heavy option here. One thing to factor in: Salesforce completed its acquisition of Informatica in November 2025, so confirm which product line and roadmap any quote covers. For a wider comparison, see our guide to the top data integration tools.

Standout Features

CLAIRE AI Engine: With Informatica’s CLAIRE AI engine, you get access to dataset curation recommendations, intelligent glossary associations, automated dataset classification, and lineage tracking. These functions help enhance your data management process as well as accelerate data delivery to various teams.‍
Data Asset Analytics: This feature helps you measure and enhance the value of your data, enabling you to gain insights into your data assets swiftly. You can track your data from system level to column level, getting a comprehensive view of dataflows in your ecosystem. Informatica’s Data Asset Analytics aids you in finding areas for improvement, assessing the implications of changes, and optimizing your data pipelines.‍
Data Governance Capabilities: Informatica has integrated data governance capabilities that help you to maximize the value of your data. You can get access to trusted insights from the platform’s AI models and link technical metadata with business context. This can help mitigate risks associated with poor data governance and quality measures, boosting data integrity and business outcomes.

Pricing

If you choose this Rivery competitor, you have to pay for the number of Informatica Processing Units (IPUs) you use. To utilize the platform's cloud services, you can choose an IPU or Flex IPU consumption model and get in touch with their sales team.

3. IBM DataStage

IBM DataStage is an enterprise ETL platform supporting large-scale transformation across on-premises and hybrid estates, with a parallel engine and automated workload balancing. Worth knowing: IBM now markets this line as watsonx.data integration, describing it on its own product pages as formerly IBM DataStage, while DataStage continues as a service inside Cloud Pak for Data for hybrid and multi-cloud deployments.

Standout Features

Enhanced data quality: IBM's QualityStage resolves data quality issues such as duplicates and inconsistent formats as data is ingested into target environments, so problems are fixed in the pipeline rather than downstream.
Metadata and lineage: DataStage exchanges metadata with IBM Knowledge Catalog, so you can trace how data moves through transformation and integration jobs and control access to projects at a granular level.
Unified Platform: DataStage boasts a powerful and scalable parallel engine that is capable of handling massive volumes of data efficiently. Its built-in auto workload balancing feature ensures high performance and elastic management of computing resources. Additionally, DataStage seamlessly integrates with IBM’s other services, such as business intelligence, data virtualization, and governance. This makes it a worthy alternative to Rivery.

Pricing

DataStage as a Service is consumption-based, while on-premises and enterprise editions are quoted. Ask IBM for current terms, as packaging now follows the watsonx.data integration line.

4. Fivetran

Fivetran is a fully managed cloud platform offering 700+ vendor-maintained connectors and continuous synchronisation. It can be deployed fully managed or, for a subset of connectors, in a hybrid model where the data plane runs in your own environment. Connectors are maintained for you, which removes upkeep but means you cannot change how one behaves.

Standout Features

Log-free Database Replication: Fivetran offers support for log-free database replication through its Teleport Sync feature. Its proprietary database replication method incrementally replicates your dataset with just a read-only SQL connection. The functionality utilizes compressed snapshots to replicate and migrate data from a supported source to a designated destination without any database logs.‍
Column Hashing: Fivetran supports column hashing, which helps you prevent sensitive and personally identifiable information from being synced to your destination. Hashing is a technique to anonymize data by transforming the actual values in columns to hash values. All Fivetran connectors have the column hashing feature to provide an extra layer of security for your sensitive data.‍
Sync Failure Handling: In case your data sync from source to destination fails, Fivetran ensures you do not lose any data in the process. The platform notifies you immediately through email notifications and a Task message on your dashboard. You can view the sync failure in your logs and immediately begin troubleshooting. Once the sync resumes, Fivetran picks up from where the sync was left, ensuring all data changes reach the destination securely.

Pricing

Fivetran bills on monthly active rows, with a free tier for low volumes and paid plans that add features and support. Check current plan names and limits on Fivetran's pricing page, as its packaging has changed several times.

5. Matillion

Matillion is the closest feature match for Rivery users: a cloud ELT platform that combines extraction, orchestration and transformation pushed down into Snowflake, Databricks or Redshift. Pipelines are built visually, with dbt support since v1.70, and it runs in your own cloud account so data stays in your infrastructure. It has around 100 connectors, fewer than Airbyte or Fivetran, and bills in credits tied to job runtime, which needs monitoring as workloads grow.

Here is a closer look at Airbyte vs Matillion.

6. Hevo Data

Hevo Data is a no-code managed ELT platform with around 150 connectors, near real-time loading and transformations applied before data reaches the warehouse. It suits teams that liked Rivery's low-code approach and want a focused pipeline tool rather than a suite. It is cloud-only, so it will not suit teams that need to self-host, and event-based pricing is worth modelling against your volumes.

Which Rivery alternative should you choose?

There is no single right answer, because the six above are different kinds of product. Start from why you are moving. If lock-in prompted the search, Airbyte is the one you can self-host and extend. If you want Rivery's mix of ELT, orchestration and in-warehouse transformation, Matillion is the closest match. If you want the least upkeep, Fivetran or Hevo. And if you want governance and enterprise support, Informatica or IBM DataStage, accepting that you are joining another large suite.

For a wider view of the market, see our guide to the top data integration tools.

Moving off Rivery? Try Airbyte

Rebuild your Rivery pipelines on 700+ open-source connectors with change data capture, and keep full control of where they run: self-hosted, in Airbyte Cloud or with Enterprise Flex.

Try Airbyte Cloud free for 14 days or talk to our team.

Frequently Asked Questions (FAQs)

1. What happened to Rivery?

Boomi announced its acquisition of Rivery on 17 December 2024. Rivery is no longer sold as a standalone product; it is now Boomi Data Integration, built on Rivery's technology inside the wider Boomi Enterprise Platform.

2. Do existing Rivery pipelines still work?

Existing pipelines continue to run, but packaging, pricing and roadmap now follow Boomi Data Integration rather than the original Rivery plans. Check current terms with Boomi before renewing.

3. What is the best open-source alternative to Rivery?

Airbyte. It is open source with 700+ connectors, supports change data capture, and can be self-hosted so data stays in your network, with Airbyte Cloud and Enterprise Flex available if you would rather not run it yourself.

4. Which Rivery alternative is closest in features?

Matillion is the closest match to Rivery's combination of ELT, orchestration and in-warehouse transformation. For a simpler no-code pipeline tool, Hevo Data is closer, and for the least upkeep, Fivetran.

Top 6 Rivery Competitors and Alternatives for 2026

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