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Rivery (Boomi Data Integration)

ELT platform with built-in reverse ETL and orchestration, now part of Boomi's data integration portfolio.

Acquired by Boomi (announced Dec 2024); mid-market ELT+activation in one tool.

Part of Boomi Updated Oct 2026

Ownership

  • Formerly Rivery · renamed May 2025 · source · In the Martech Market Report

    After the acquisition, Boomi renamed Rivery's platform Boomi Data Integration and made it part of the Boomi Enterprise Platform. A secondary source says this happened in May 2025.

  • Acquired by Boomi · closed Dec 2024 · source · In the Martech Market Report

    On 17 December 2024 Boomi announced a definitive agreement to buy Rivery, a data integration provider. The deal was expected to close by the end of 2024, and Rivery's CEO wrote on 19 December 2024 that Boomi had acquired the company.

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Rivery (Boomi Data Integration) Pros & Cons

Key strengths and limitations to consider, drafted by an AI model from public sources

Strengths

  • Combines ingestion, transformation, orchestration, and reverse ETL
  • Supports more than 180 managed data sources
  • Offers custom REST API connections
  • Provides CDC for supported databases
  • Uses usage-based BDU-credit pricing

Limitations

  • Reverse ETL depth trails dedicated activation platforms
  • Pricing requires estimating data movement and executions
  • Some newer features remain in private preview
  • Acquisition may change product packaging and roadmap
  • Public status service was scheduled for discontinuation

Ideal For

Who benefits most from Rivery (Boomi Data Integration), drafted by an AI model from public sources

Quick Analysis

Boomi Data Integration (formerly Rivery) operates in the cloud data integration and reverse ETL market, combining managed ELT, pipeline orchestration, transformation, and activation in one service. Its reverse ETL capability syncs modeled warehouse data into business applications, while the broader platform also supports application ingestion, database replication, CDC, REST APIs, Python, and workflow automation.

Its strongest fit is a small or midsize data team that wants one managed platform rather than separate tools for ingestion, transformation, orchestration, and activation. Rivery differentiates from Hightouch and Fivetran Activations (formerly Census) by offering a broader end-to-end data pipeline scope, and from Fivetran and Airbyte through more built-in workflow and transformation functionality. Custom REST connections, 180+ managed sources, CDC, version control, and usage-based pricing are meaningful advantages, although dedicated reverse ETL competitors may offer deeper audience activation workflows.

Evaluate Rivery when warehouse-to-application synchronization is part of a broader integration program, especially where teams want fewer vendors and support for custom APIs. Choose Hightouch or Fivetran Activations when reverse ETL and audience activation are the primary requirements; choose Fivetran or Airbyte when ingestion breadth and connector ecosystem dominate. Validate destination write capabilities, sync frequency, API rate-limit handling, transformation governance, observability, and total BDU-credit consumption before buying.

1

Revenue teams syncing warehouse-qualified leads into Salesforce

2

Marketing teams activating customer segments in advertising platforms

3

Ecommerce companies consolidating Shopify, Stripe, and ad data in Snowflake

4

Franchise headquarters combining local campaign data across hundreds of stores

5

Data teams replicating operational databases into BigQuery with CDC

6

Analytics teams building custom API pipelines for unsupported SaaS systems

Usage-Based

Pricing

Model

usage based

Starting Price

$0.9 per BDU credit (Base plan, monthly billing)

Checked and not offered

One capability that other data integration tools are built around, which Rivery (Boomi Data Integration) does not appear to cover. Each was checked against Rivery (Boomi Data Integration)'s own documentation in three separate AI passes, and only a majority verdict is recorded — the count is on each row.

A gap is not a fault — a product that does one job well is a reasonable thing to buy. It is only expensive when you find out after signing.

Agentic AI / Autonomous Agents 4 of 16 data integration tools have it

Documentation index searched for autonomous AI agents; no autonomous-agent capability documented.

Checked: https://docs.rivery.io/· 2 of 3 passes agreed it is absent

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