- Advice first: list what you use Informatica for
- What Informatica from Salesforce means for your roadmap
- Four routes away: cloud ELT, hyperscaler, enterprise ETL and open-source flow
- The four routes in a table
- Every option from A to Z
- Run one pipeline in parallel before you switch
- Frequently asked questions
Most Informatica alternatives replace data movement, not governance. If you only use it to load and transform data, a cloud ELT tool or your cloud provider's own service is the shorter path. If you also lean on its data quality and governance features, expect to need a second tool. Below are nine, grouped into four routes.
If Informatica's governance and quality features are part of your daily work, plan for two tools, not one. If you only move data with it, you've got plenty of simpler routes, and some of them may already sit inside the cloud account you use.
Advice first: list what you use Informatica for
Before you look at a single vendor, write down which parts of Informatica your team touched over the past few weeks. Tick off each item below, and keep the ticked list next to you while you read the rest of this page. It's the yardstick for every demo you sit through.
- Pulling data from source systems into a warehouse or lake.
- Transforming data on the way in, or after it lands.
- Scheduling and monitoring pipelines.
- Data quality rules and profiling.
- Governance, lineage or a data catalogue.
- Master data management.
If only the first three are ticked, any route on this page will do. If the last three are ticked, the replacement plan needs separate tools for those jobs, and this list covers integration only.
What Informatica from Salesforce means for your roadmap
Informatica's own site now carries the line Informatica from Salesforce. That isn't a reason to leave on its own, but it's worth asking how that ownership fits your plans, especially if your CRM, cloud or analytics stack points somewhere else. Ownership questions run through this list too, so read each vendor's site for who it belongs to today.
Four routes away: cloud ELT, hyperscaler, enterprise ETL and open-source flow
Cloud ELT. Matillion says it serves cloud data teams. Airbyte says you can run it in your own VPC or on its hosted cloud. Rivery says it covers pipelines end to end.
Hyperscaler services. Azure Data Factory, per Microsoft, builds data factories without code, and AWS Glue, per Amazon, runs jobs on Apache Spark. If you already run on one of those clouds, start with its own service. One question cuts across all four routes: who on your team will own the pipelines day to day. A managed service suits a small team; open-source flow tooling suits engineers who want to see inside it.
Enterprise ETL. IBM DataStage, the vendor says, gives you a visual interface for designing pipelines. CloverDX says teams can build and automate pipelines together. Talend, which its page says is now part of Qlik, describes integrating, transforming and governing data, so it's the closest match here if governance is on your ticked list.
Open-source flow. Apache NiFi, according to the project, tracks the provenance of every piece of data it moves.
I've written more about ETL tools and data quality tools if your ticked list reaches beyond integration.
The four routes in a table
| Tool | Model | Free option named |
|---|---|---|
| Airbyte | Source connector tool | Free open-source software |
| Apache NiFi | Open-source data flow | Not stated on its site |
| AWS Glue | Amazon offering | Not stated on its site |
| Azure Data Factory | Microsoft offering | Not stated on its site |
| CloverDX | Enterprise data tool | A free trial |
| IBM DataStage | Enterprise ETL | A free trial |
| Matillion | Pipeline platform | Not stated on its site |
| Rivery | SaaS data tool | A free trial |
| Talend | Data management suite | Not stated on its site |
Every option from A to Z
Alphabetical, which puts them in no particular order of quality; each line is drawn from the vendor's own site.
Do you make data integration software? You can ask to be considered for a featured place.
Airbyte
Best for: Open-source data integration and ELT pipelines, per the project.
Apache NiFi
Best for: An easy to use, powerful and reliable system for processing and distributing data, per the project.
AWS Glue
Best for: A serverless data integration service that makes ETL easy, the vendor says.
Azure Data Factory
Best for: The easiest cloud-based hybrid data integration service at enterprise scale, the vendor claims.
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CloverDX
Best for: A data integration platform that puts you in control, in the vendor's words.
IBM DataStage
Best for: Turning data silos into AI-ready data, the vendor says.
Matillion
Best for: Cloud data integration and ETL, now autonomous, in the vendor's words.
Rivery
Best for: Solving complex pipeline challenges with a fully managed cloud ELT tool, the vendor says.
Talend
Best for: Trusted data integration and quality, per the vendor.
Run one pipeline in parallel before you switch
Pick one pipeline that matters but won't sink the business if it's late, and rebuild it in your strongest candidate. Run it alongside the Informatica version for a few cycles and compare row counts, run times and failures. You'll learn more from that than from any demo.
- Choose a pipeline with at least one awkward transformation.
- Compare outputs row by row, not just totals.
- Break a source on purpose and see how each tool reports it.
- Ask whoever's on call how the alerts read at three in the morning.
- Only then plan the order for the rest.
Keep the Informatica pipeline running until the new one has matched it through a busy period, then switch off the old version and archive its definitions.
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Frequently asked questions
Will one tool replace everything Informatica does?
Usually not. Informatica covers integration, quality and governance. Most alternatives here focus on integration, so plan separate tools for the rest if you use them.
Is ELT better than ETL?
Neither is better in general. ELT loads raw data first and transforms it in the warehouse; ETL transforms it before loading. Your warehouse and team skills decide which suits you.
Should I use my cloud provider's own data service?
If you already run on that cloud, it's a sensible first trial, because access and billing are already in place. It ties you more tightly to that provider, though.
Which of these mention free software or a free plan?
One names free open-source software on its site and three name a free trial. Open-source projects still need someone to run them.
What should I check about ownership changes?
Read each vendor's own site for who owns it today and how its products are named, then ask your account team about the roadmap.
How long should a parallel run last?
Long enough to cover a month-end or another busy period, because that's when pipelines fail in ways a quiet week won't show.
