Top 10 ETL Tools Reviews : ETL is the short form of Extract, Transform and Load. These are key tools required when handling Database and Data Warehousing.  Also, if you are using any cloud storage services, these ETL tools are very of great importance. The main functions of these tools is to migrate the data from the source database to the required database through cloud computing or Data warehouses.

These ETL tools together combine a process which are; Extraction of data from the source file, Transformation of the required file type from the original type to the required type so that it can be accessed from the target source and Loading the files into the target database or data warehouse.

If your business process includes any kind of Data migration or transformation of Data from one format to another or Data mobility then you might have to employ these ETL tools to enable your business process. Below, you can find few of the major ETL tools that are being used in the market.

1) Informatica – PowerCenter

2) Talend – Talend Open Studio for Data Integration 

3) Oracle – Data Integrator

4) Microsoft – SQL Server Integrated Services

5) IBM – Infosphere Information Server

6) SAS – Data Integration studio

7) SAP – BusinessObjects Data Integrator

8) Clover ETL – CloverETL

9) Pentaho – Pentaho Data Integration

10) AB – Initio

Talend 

1. Talend is an open-source data integration tool (with the full suite , ESB , MDM , BPM , DQ).
2. It uses a code-generating approach. Uses a GUI, but within Eclipse RC, with an intuitive use
3. Very large community , and more than 800 connectors ( the biggest connectors library )
4. It has the biggest ETL community and many finance companies and investors supporting it.
5. It generates java code which you later run on your server / deploy using manual or automatic
6. It has data quality features: from its own GUI, writing more customised SQL queries and Java.
7. It can run on remote and on local and the jobs can be used as java executable jars independently
8. it has a on premise and Cloud version
9. its mature and up to date on Big data technologies ( i.e Spark, Hive , AWS ..etc )
10. Fairly priced and has subscription model independent from your project size.