Looking for an ETL tools list? Here are 15 popular ETL tools in 2026, grouped by type, with what each is used for and which are most worth learning if you are targeting data jobs in India. Whether you want to become an ETL developer, a data analyst or an ETL tester, this list helps you understand the tools you will see in job descriptions.
What Is an ETL Tool?
An ETL tool extracts data from sources (databases, files, APIs), transforms it (cleans, joins, aggregates) and loads it into a target such as a data warehouse. ETL tools provide connectors, visual or code-based transformations, scheduling, logging and error handling, so teams do not have to write everything from scratch. New to ETL? Read what is an ETL pipeline.
The 15 ETL Tools
| # | Tool | Type | Typical use |
|---|---|---|---|
| 1 | Informatica PowerCenter / Intelligent Data Management Cloud | Enterprise | Large banks, insurance and healthcare warehouses |
| 2 | Microsoft SSIS (SQL Server Integration Services) | Enterprise | SQL Server-based warehouses |
| 3 | Azure Data Factory | Cloud | Pipelines on Microsoft Azure |
| 4 | AWS Glue | Cloud | Serverless ETL on AWS |
| 5 | Google Cloud Dataflow | Cloud | Batch and streaming on Google Cloud |
| 6 | Databricks | Cloud platform | Spark-based ETL and lakehouse |
| 7 | IBM DataStage | Enterprise | Large enterprise integration |
| 8 | Oracle Data Integrator (ODI) | Enterprise | Oracle-centric warehouses |
| 9 | SAP Data Services | Enterprise | SAP landscapes |
| 10 | Talend (Qlik) | Enterprise | Data integration and data quality |
| 11 | Pentaho Data Integration (Kettle) | Open source / commercial | Visual ETL jobs |
| 12 | Apache NiFi | Open source | Data flow and routing |
| 13 | dbt | Open source / cloud | SQL transformations in the warehouse (the T in ELT) |
| 14 | Fivetran / Airbyte | Managed / open source | Extract and load connectors |
| 15 | Python (pandas, PySpark) | Code | Custom ETL scripts and pipelines |
Apache Airflow is also common, but it is an orchestrator that schedules ETL jobs rather than an ETL tool itself. Talend's free Open Studio edition was retired in 2024, so learners now usually start with other free options.
ETL Tools by Type
- Enterprise ETL tools: Informatica, SSIS, DataStage, ODI, SAP Data Services, Talend. Common in large Indian IT service projects for banking and insurance clients.
- Cloud ETL tools: Azure Data Factory, AWS Glue, Google Dataflow, Databricks. Growing fastest with cloud migrations. See ADF and Databricks testing.
- Open-source ETL tools: Pentaho, NiFi, Airbyte, dbt Core, Python.
- ELT tools: Fivetran or Airbyte to load, dbt to transform inside the warehouse. See ETL vs ELT.
Which ETL Tools Should You Learn?
| Your goal | Learn first |
|---|---|
| ETL developer in an Indian service company | SQL, then Informatica or SSIS, then Azure Data Factory |
| Cloud data engineer | SQL, Python, Azure Data Factory or AWS Glue, Databricks |
| Data analyst | SQL, Power Query (Excel/Power BI), basic Python |
| ETL tester | SQL and ETL testing concepts first; learn the tool your project uses |
For a full developer path, see ETL developer course. For Informatica specifically, see Informatica PowerCenter training.
ETL Tools vs ETL Testing Tools
ETL tools build pipelines. ETL testing tools verify them: SQL clients, QuerySurge, Datagaps, dbt tests, Great Expectations and Python with pytest. Testers mostly need SQL and a testing approach that works whatever ETL tool is used. See the ETL testing tools list.
Data testing skills: SQL for testers · data migration testing · Power BI testing · big data testing · data quality checks · ADF & Databricks testing · database testing interview questions
More guides for Indian students: ETL full form · ETL testing with example · ETL testing jobs in India · ETL testing course in India · ETL training in Hyderabad, Bangalore & Pune · best ETL testing course on Udemy · ETL testing roadmap · ETL tester vs ETL developer · interview questions for freshers · free ETL testing mock test · SQL for testers · QA to data engineer · ETL testing kya hai (Hindi)
Frequently Asked Questions
What are the most popular ETL tools?
Informatica, Microsoft SSIS, Azure Data Factory, AWS Glue, Databricks, Talend, IBM DataStage, Oracle Data Integrator, Pentaho, dbt and Python-based pipelines are among the most widely used.
Which ETL tool is best to learn in 2026?
For Indian service-company jobs, Informatica and Azure Data Factory are very common. For cloud data engineering, Azure Data Factory or AWS Glue plus Databricks. Always learn SQL first.
Is SQL an ETL tool?
No. SQL is a query language used inside almost every ETL tool and for testing, but it is not an ETL tool by itself.
Are there free ETL tools?
Yes. Pentaho Data Integration, Apache NiFi, Airbyte, dbt Core and Python libraries such as pandas are free to use.
Do ETL testers need to learn ETL tools?
A basic understanding helps, but ETL testers mainly use SQL to validate data. They usually learn the specific ETL tool used on their project.
Asim Noaman Lodhi
Certified Google Partner · QA Consultant · 12+ Years IT
QA consultant specializing in ETL testing and data quality. Trained 913+ students to transition into data testing roles through hands-on, real-world instruction.