Top 10 Data Integration Tools for Modern Businesses

Shopify has the orders, HubSpot has the leads, and ad spending is divided among three tabs and a Slack chat. The finance team has its own revenue figure that never matches marketing’s, and each Monday meeting begins with the same discussion about which spreadsheet is correct. A good data integration tool settles that debate. The following ten are worth looking at.

Why Copy-Paste Reporting Stopped Working

Talk to a marketing analyst for five minutes, and CSV exports will come up, starting with the GA4 one, then the Stripe one, and finally a Google Sheet held together with VLOOKUPs. Whenever a column name is changed in the CRM, about half of the formulas turn red. The report is ready on Wednesday, but by Thursday it is already outdated.

A small business could perhaps get away with it, but not for long. Eventually, when there are 40 SaaS applications and a Snowflake or BigQuery account, someone will write Python scripts to call the APIs directly. Then that person will get a call at 2 a.m. when a token expires. Doesn’t that sound like a fun job?

At this stage most teams give up on doing it themselves. Paying for a managed pipeline is a bit of a nuisance, but paying a data engineer to sort out cron jobs three days a week is even more of one.

So what is the actual job? Get the data from Salesforce, Shopify, Postgres or anywhere else, and put it into a single warehouse or lakehouse. Then clean it up enough for a BI dashboard or an AI model to make sense of it. Some tools cover the whole process, while many only handle loading and pass the cleaning task on to dbt (data build tool).

There’s one more point worth mentioning. Certain tools are built for analytics (data is fed into a warehouse and stays there for use in reports), while others move data between live applications, for example by pushing a new order from Shopify into NetSuite in real time. It’s common to confuse the two types and, as a result, buy the wrong product.

What usually breaks first

• Schema changes cause silent nulls when vendors rename fields.
• Rate limits leave Shopify syncs running into lunchtime.
• Duplicates inflate revenue when retries reload orders.
• Lineage becomes unclear when nobody can trace a number.

What’s pushing teams to fix it now

None of these problems is new, though a few things have made them a lot harder to put off:

• Nearly every company now has some kind of AI project going, and a model working from last month’s CSV export won’t be of much use
• The bigger vendors keep consolidating, with Salesforce buying Informatica and Fivetran merging with dbt Labs
• Warehouse storage has become cheap enough that keeping everything in one place is finally affordable
• GDPR auditors want to know where customer data is kept, and “on somebody’s laptop” is not an answer that goes over well

Top 10 Data Integration Tools for Modern Businesses

The list runs from large enterprise suites to small no-code services, and since billing works differently almost everywhere (rows with one vendor, credits or compute hours with another), the pricing page deserves a slower read than usual.

1. Azure Data Factory

Companies that already pay Microsoft for most of their stack will probably find Azure Data Factory on the shortlist anyway, since it comes with more than 90 connectors and a canvas where pipelines are built by dragging components around. Existing SSIS packages can be moved over almost unchanged, which spares a lot of tedious rework, although Microsoft has lately been steering new projects toward Fabric Data Factory instead.

• Visual data flows that run on Spark
• Billed per activity run, with nothing to pay upfront
• Git and CI/CD support out of the box

2. Databricks

Ingestion in Databricks goes through Lakeflow Connect, where 100+ connectors for systems like Salesforce, Workday and SQL Server load data straight into Unity Catalog. Moving off SAP BW or an ETL stack that dates back to around 2012 is a much slower job that can take months, so a lot of companies bring in outside help for it. DXC, for one, provides DXC Databricks covering the migration as well as the day-to-day running of the platform once it’s live.

• Serverless ingestion that syncs only new rows
• Lineage tracked in Unity Catalog
• A free allowance of 100 DBUs a day that doesn’t expire

3. AWS Glue

For teams already working on AWS, AWS Glue is the obvious place to start, mostly because there’s nothing to provision and nobody has to give up a Sunday to patch servers. Jobs run on Spark and can be written in Python or Scala, or put together visually in Glue Studio when writing code isn’t an option. The Data Catalog, which keeps track of which tables sit in S3 and which in Redshift, rarely gets mentioned in reviews, though teams tend to notice very quickly once it’s gone.

• Spark jobs billed by the second
• One shared catalog for all the metadata
• Glue Studio for building jobs without code

4. Fivetran

Fivetran is what companies usually buy when they would rather never think about pipelines again. Setup is little more than picking a source and a destination, and when the schema changes in one of its 750+ sources, the pipeline adjusts without anyone having to open a ticket. Its merger with dbt Labs was completed in June 2026. Most complaints have to do with cost, because billing is based on monthly active rows and a busy events table can push the bill far past what was planned for the month.

• More than 750 managed sources
• Schema drift handled automatically
• A free plan, plus a 14-day trial

5. Informatica

Informatica has been on the market since 1993 and has belonged to Salesforce since November 2025. Its cloud platform, IDMC, connects to over 1,000 apps, and an AI engine called CLAIRE suggests field mappings so that nobody has to set every one of them up by hand. A 20-person startup would use only a small part of all that, whereas a bank still running mainframes from the ’90s is exactly the kind of customer the platform was designed for, and in that setting its weight is the whole reason to buy it.

• Connectors for 1,000+ apps and databases
• Field mappings suggested by CLAIRE
• A 30-day free trial of the cloud version

6. Airbyte

Airbyte is where a lot of engineers start, partly because it’s open source and partly because its 700+ connectors come with a large GitHub community behind them. Self-hosting it on Docker or Kubernetes costs nothing in licensing, though it does cost time, and that time often comes out of someone’s weekend. When a business relies on some regional API that nobody else supports, the Connector Builder can usually put a connector together in an afternoon, sometimes without any code at all.

• Open-source core that’s free to self-host
• Credit-based pricing for Airbyte Cloud
• A builder for custom connectors, with code optional

7. Qlik Talend Cloud

After Qlik bought Talend in 2023, the two products came together as Qlik Talend Cloud, and the feature that stands out most is its change data capture. Updates made in SAP, on a mainframe or in Oracle show up downstream within seconds without an agent being installed on the source system, and data quality checks come with the platform. Gartner has placed Qlik among the Leaders in its Magic Quadrant ten years in a row.

• Agentless CDC from SAP and mainframe systems
• Data quality rules built in
• Four pricing packages tied to volume

8. Matillion

Matillion began in Manchester and now has a second base in Denver. Its pipelines run inside the warehouse itself, whether that’s Snowflake, Databricks, Redshift or BigQuery, so there’s no extra server to look after. In 2025 the company launched Maia, a set of agents that draft a pipeline when someone types a request like “load Stripe payments every morning,” which is reason enough for a small data team sitting on a long backlog to book a demo.

• ELT that runs inside the warehouse
• Maia, which drafts pipelines from plain-text requests
• Pipelines built with drag-and-drop, SQL or Python

9. Boomi

Boomi was built mainly to get applications talking to each other, and warehouses are a secondary concern for it. When a Shopify order comes in and has to reach NetSuite, Salesforce and the warehouse partner right away, that is the kind of job the platform handles all day for its 30,000+ customers. Its on-prem runtime also keeps working when the office Wi-Fi goes down, something retailers in particular find reassuring.

• iPaaS, EDI and API management on one platform
• Deployment in the cloud or on-premises
• Agentstudio for managing AI agents

10. Hevo Data

Teams that can’t fit Fivetran into the budget are the audience Hevo Data has in mind. It offers 150+ connectors that are set up without code, with transformations written in SQL, Python or dbt, and getting GA4, Facebook Ads and HubSpot data flowing into BigQuery takes a few minutes at most. The free trial doesn’t ask for a credit card, a small detail that people still appreciate.

• 150+ ready-to-use connectors
• CDC for MySQL, Postgres and similar databases
• Clear pricing tiers and a free trial to begin with

How to Pick One

No tool wins for everyone, and a Shopify brand, a hospital group and a global bank will quite reasonably end up choosing different ones. Before getting on any demo call, it helps to have blunt answers to a few questions:

• Are the five most important sources supported natively, or only through some community plugin?
• What is the billing unit: rows, credits, compute hours or a flat tier?
• Does it run in the cloud the company already uses, or does it bring in one more vendor?
• When a sync breaks at 3 a.m., who fixes it, the vendor or someone in-house?

After that, the tool should be tested on real data, since two weeks connected to the company’s actual HubSpot account will show far more than any comparison grid.
It’s also worth picturing how the setup will look two years from now, because although pipelines can be ripped out and replaced later, the process almost never goes as smoothly as the sales demo suggested.

FAQ

ETL or ELT, what’s the difference?

ETL transforms data before loading it. ELT loads raw data first and transforms it inside the warehouse. Most cloud tools now work the ELT way.

Is open source okay for a real business?

In most cases, yes. Airbyte runs in plenty of production environments. The team does take on hosting, upgrades and alerting, though.

How fast can a pipeline go live?

A SaaS-to-warehouse pipeline usually takes under an hour in most tools. An SAP or mainframe migration takes months.

About the Author

Olena Marchenko is a technology and business writer with a background in finance, product management, and public sector IT. For over five years, she worked as a Product Manager on software-and-hardware systems for state-run inclusive service centers. Today she covers AI and enterprise technology, with a focus on how new tools change day-to-day IT operations in law, business, and utilities.