Fivetran vs Informatica in 2026: Modern ELT vs the Enterprise Data Suite

Overview

Fivetran and Informatica sit at opposite ends of the data-integration market's generational divide, and in the space of seven months both ends changed shape. Salesforce closed its approximately $8 billion acquisition of Informatica on 18 November 2025, and Fivetran completed an all-stock merger with dbt Labs on 1 June 2026, after buying Census (May 2025) and Tobiko Data (September 2025). A comparison that would have been "modern ELT startup vs independent enterprise incumbent" in 2024 is now a choice between two consolidated platforms with different owners, different metering models, and different answers to the same question: how much of the data stack should one vendor run?

This guide compares both on architecture, connector reach, the two pricing models (Monthly Active Rows vs Informatica Processing Units), AI direction, and the migration pressure created by PowerCenter's end-of-life dates, verified against vendor pages and primary sources in July 2026.

Company Snapshot

What Each Platform Is

Fivetran is a managed extract-load-transform service. Customers connect a source and a destination warehouse; Fivetran owns the schema mapping, change data capture, and loading logic from then on. The connector library lists 750+ sources and 200+ destinations as of July 2026, and the June 2026 dbt merger folds the most widely used SQL transformation framework into the same company, alongside SQLMesh (via Tobiko Data) and the Activations reverse-ETL product built from Census. A Managed Data Lake Service writes Apache Iceberg or Delta Lake tables to S3, Azure storage, and Google Cloud Storage (added April 2025), positioning Fivetran as ingestion-plus-transformation infrastructure for warehouse and lakehouse stacks.

Informatica's IDMC is a wider platform: data integration is one of several services drawing on the same IPU pool, next to data quality, governance, cataloging, master data management, and masking. Its connector catalog (1,000+ per vendor materials) reaches deep into systems the modern ELT vendors treat lightly — SAP modules, Oracle E-Business Suite, mainframe formats — and supports batch, real-time, and streaming patterns. The CLAIRE AI layer added agentic capabilities in 2025, and CLAIRE GPT went GA in the Spring 2026 IDMC release as a goal-driven assistant for discovery, metadata enrichment, and governance tasks.

The Pricing Models, Decoded

Neither vendor publishes its core rates. That single fact shapes every honest cost comparison between them, and it is worth stating plainly: an equal-workload cost comparison between Fivetran and Informatica cannot be computed from published data. What follows is everything the vendors do publish.

Fivetran: Monthly Active Rows, per connection

• MAR counts rows inserted or updated in a calendar month; unchanged rows and initial syncs are free. Since 1 January 2026, deletes and history-mode tracked changes also count toward billable MAR — a material change for high-churn operational tables.
• Since March 2025, MAR is billed per connection rather than pooled account-wide, and a $5 monthly base charge applies to each standard connection running between 1 and 1 million MAR. Accounts with one dominant connector got cheaper; accounts spreading volume across many connectors lost pooling.
• The Free plan covers 500,000 MAR per connection, 3,500 activation MAR, and 5,000 model runs monthly. Transformations beyond the free 5,000 runs bill at $0.01/$0.007/$0.002 per run in declining tiers. Annual contracts discount up to roughly 22%.
• Per-MAR dollar rates are not published. Fivetran's own pricing page instead shows median monthly costs per connector — $17.23 for Facebook Ads, $10.99 for Google Analytics 4, $44.12 for Google Ads, $423.78 for Marketo — and a worked small-company example totalling $549.36 per month.

Informatica: IPUs, pooled across the suite

• IPUs are pre-purchased credits spendable on any eligible IDMC service; consumption is computed per "scaler" (Secure Agent usage, ingestion volume, and other meters defined in Informatica's Measurement Guide). No public worked examples exist.
• Two commercial models: traditional IPUs, where unused units expire monthly, and Flex IPUs (introduced 2023), where unused units survive until contract-anniversary year end. Volume tiers guarantee new purchases price at or below the per-unit price of previous orders.
• The only public rate anchor is an AWS Marketplace listing: $131,760 for a 12-month contract of 120 IPUs per month, which works out to $10,980 per month, or $91.50 per IPU-month at that volume. Marketplace list price; private offers differ.
• The free entry point, Cloud Data Integration Free, processes up to 20 million rows or 10 processing hours per month, whichever comes first.

The structural difference matters more than the numbers. Fivetran meters data volume changed, so cost tracks how active the sources are; Informatica meters platform consumption, so cost tracks how much of the suite (and how much compute) an organization uses. Fivetran's 2025–26 changes moved in the buyer-hostile direction (per-connection billing, billable deletes); Informatica's 2023 Flex change moved in the buyer-friendly one (annual expiry).

flowchart TD
  A[Data integration purchase, 2026] --> B{Existing PowerCenter estate?}
  B -- Yes --> C{Keep suite: quality, MDM, governance?}
  C -- Yes --> D[Informatica IDMC<br/>IPU consumption]
  C -- No --> E[Re-platform: evaluate ELT vendors]
  B -- No --> F{Warehouse-centric analytics stack?}
  F -- Yes --> G[Fivetran + dbt<br/>MAR per connection]
  F -- Mixed / on-prem heavy --> H[Shortlist both:<br/>connector-by-connector check]
  E --> G

The PowerCenter Clock

The decision is not hypothetical for the thousands of organizations still running Informatica's on-premises PowerCenter. Per Informatica's Product Lifecycle Guide (as reported consistently by migration vendors), standard support for PowerCenter 10.5.x ended on 31 March 2026, extended support runs to 31 March 2027, and sustaining support continues to 2029. Salesforce's ownership adds a second variable: no changes to the IPU model or IDMC packaging have been announced as of July 2026, but pricing and roadmap control now sit with an acquirer whose stated interest is Informatica's metadata and governance layer for Agentforce.

A PowerCenter shop therefore faces three paths: modernize in place to IDMC (Informatica's migration tooling and sales motion are built for exactly this), re-platform the analytics-bound share of pipelines onto ELT tooling like Fivetran plus dbt, or split the estate — IDMC for governed operational integration, managed ELT for warehouse feeds. The third pattern is common in practice precisely because the two products meter differently: moving high-churn analytics ingestion off IPU consumption and onto MAR can be rational, and so can the reverse for governed master-data flows.

AI Direction

Both companies now sell an AI story, aimed at different buyers. Informatica's CLAIRE GPT (GA Spring 2026) is an in-suite agentic assistant: natural-language discovery, mapping suggestions, quality-rule generation, and governance actions across the IDMC estate, with announced support for the Agent2Agent protocol and, since the May 2026 Google Cloud partnership expansion, "headless" data-management APIs. Fivetran's framing is infrastructural — the dbt merger announcement positions the combined company as "the data infrastructure for trusted AI agents": governed, tested, versioned data delivered to warehouses and Iceberg/Delta lakes where AI workloads read it. One sells AI inside the data-management platform; the other sells the pipeline layer AI systems depend on.

When Each Wins

Fivetran + dbt wins when the destination is a cloud warehouse or lakehouse, the sources are predominantly SaaS APIs and operational databases with CDC support, and the team wants pipeline maintenance owned by a vendor. The free 500K-MAR-per-connection tier and published median costs make small-scale entry genuinely self-service, which Informatica's quote-based model does not attempt.

Informatica wins when the requirement is broader than integration — data quality, MDM, catalog, and governance under one consumption pool — or when the connector list must include SAP, Oracle EBS, or mainframe systems at enterprise depth. It is also the path of least resistance for existing PowerCenter estates facing the 2026–27 support cliff, assuming Salesforce-era roadmap risk is acceptable.

Neither is priced for casual comparison. Both vendors require a sales conversation for production volumes; the difference is that Fivetran publishes its metering behavior and median examples while Informatica publishes its metering concept only.

Editor's Note: We have watched more than one 2026 shortlist stall on the fact that these two pricing models cannot be put on the same axis from public data. The only published anchors worth writing down: Fivetran's own worked example puts a typical five-connector small-company stack at $549.36 per month, and Informatica's sole public rate is the AWS Marketplace listing at $131,760 per year for 120 IPUs per month ($91.50 per IPU-month). Treat both as list-price anchors, not budgets — negotiated contracts move materially in both directions, and Fivetran's January 2026 change to bill deletes means historical MAR consumption under-predicts 2026 bills for high-churn tables. — Rafal Fila, ShadowGen

Bottom Line

Fivetran vs Informatica in 2026 is a choice between a warehouse-centric ELT-plus-transformation stack (Fivetran + dbt + SQLMesh + Activations) metered on data change volume, and a full data-management suite (IDMC) metered on pooled platform consumption, now owned by Salesforce. Greenfield analytics stacks default to Fivetran's model; PowerCenter estates and suite buyers default to Informatica's; mixed estates increasingly run both, split along the analytics/governance line. The pricing models are structurally incomparable from published data, so any serious evaluation runs a production-volume trial on Fivetran's free tier and a scoped IPU estimate through Informatica's sales process in parallel.