Top 9 ETL Tools to Look for in 2021 for Data Integration

ETL tools are used to transform heterogeneous data into homogeneous, which is then used by Data Scientists to derive valuable insights from the data.

So ready to see the list of ETL Tools that will be trending in 2021?

Best ETL Tools for Data Integration for 2021

Here are the top 9 ETL tools that will be most trending in 2021 for the purpose of Data Integration-

1. Microsoft- SQL Server Integrated Services ( SSIS)

To build high-performing data integration solutions, such as extraction, transformation, etc, SSIS is considered as an excellent platform. 

It consists of graphical tools and wizards for building & debugging packages, tasks for performing workflow functions which includes executing SQL statements, FTP Operations, etc.

Features of SSIS

1. Data integration and workflow applications.
2. Data warehousing tool for ETL.

2. AWS Glue

AWS Glue is a simple and cost-effective, fully managed serverless ETL to categorize data and move it across multiple data sources. 

It consists of AWS Glue Data Catalog, i.e., a central metadata repository, an ETL engine, and a flexible schedule.

Features of AWS Glue

1. It generates ETL scripts to transform your data from source to target. 
2. Detects schema changes & adapts on your preferences.

3. Apache NiFi

Apache NiFi supports scalable and powerful directed graphs of transformation, data routing, and system mediation logic. It was developed to automate the flow of data between systems.

Flow controllers, web servers, content repository, extensions are some of the components of NiFi on Java Virtual Machine. 

Features of Apache NiFi

1. Highly Configurable
2. Web-based user interface

4. Informatica PowerCenter

Informatica PowerCenter is a data integration platform that assists in speeding up data integration projects and delivering data to business in a prompt manner.

Features of Informatica PowerCenter

1. Real-time data for analytics & applications.
2. Scalability and Zero downtime.

5. Infosphere Information Server by IBM

IBM Infosphere Information Server is a platform that provides massively parallel capabilities. Additionally, it delivers a highly flexible and scalable platform that could handle all the volumes of data. 

It is a platform that allows the user to clean, monitor, understand and transform data.

Features of Infosphere Information Server

1. Connects data across various systems.
2. Assessing, analyzing, and monitoring data quality.

6. Qlik Replicate

Qlik Replicate is a data integration platform that supports a variety of use cases which includes real-time data warehousing, main-frame modernization. 

The platform automates the replication processes which includes the target schema generation across all major databases, data warehouses, etc.

Features of Qlik Replicate

1. Data protection 
2. High performance, real-time updates
3. An intuitive GUI that replicates data ingestion and replication

7. Oracle Data Integrator

Oracle Data Integrator is a platform that fulfills almost all types of data integration requirements from high-performance batch-loads to SOA- enabled data services. 

It includes interoperability with Oracle Warehouse Builder to Oracle Data Integrator.

Features of Oracle Data Integrator

1. Fast development and maintenance.
2. Data quality firewall.

8. SAP- BusinessObjects Data Integrator

With the help of SAP- BusinessObjects Data Integrator, an organization is able to extract, transform, integrate, and load data in the analytical environment. 

An organization can extract data from almost any source, transform, and integrate that in any target database.

Features of SAP

1. Advanced debugging features
2. Data Quality Features

9. SAS- Data Integration Studio

SAS is used for building, implementing, and managing data integration processes irrespective of platforms, applications, and data sources.

This is a powerful design tool. The studio is easy and simple to manage, a multi-user environment that enables collaboration on large projects.

Features of SAS

1. Provides a library of standard transformations
2. Enables you to query & use data across multiple systems.

More ETL Data Integration Tools

Apart from the above-mentioned ETL tools for data integration, there are many other tools also that are useful for data integration. Some of them  are:

• Talend
• Pentaho
• Ab Initio
• Streamsets

Summary

So, the above discussed were some of the most efficient ETL tools for Data Integration. 

All these tools offer various functionalities and features, which makes the execution of Data Integration tasks easier. 

And choosing the one that best suits your needs makes it even more effective.