Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow

1

Visual Flow

An Apache Spark project, Visual Flow is a cloud-native open-source ETL tool that provides users with an intuitive, drag-and-drop GUI for ETL jobs building and connecting them to form Data Processing Pipelines. After that, you will be able to run, schedule, and monitor the execution of these ETL processes. Also, this platform allows you to create multiple projects in one cluster, providing unlimited parallelism and scalability. You can fix errors right here out of the box.

#ETL #Data Integration #Data Workflow

2

Integrate.io

The platform allows you to transform business data without requiring you to write a lot of the program code. Also, Integrate.io provides you with the option to combine data from several data sources and upload it to one single storage. As for security features, it applies SSL/TLS encryption, FLE, hashing, 2FA, and data masking, and it also has the SOC 2 certification.

#eCommerce #Data Integration #ETL 2 social mentions

3

AWS Glue

The AWS Glue Data Catalog contains table and job definitions, and other control information. It automatically generates statistics and registers partitions, so data queries can run more efficiently. The catalog also supports an extended history for schema versions, allowing you to see how data has changed over time.

#Data Integration #ETL #Data Workflow 13 social mentions

4

IBM DataStage

DataStage is an IBM proprietary tool that extracts, transforms, and loads data from a source to the destination storage. It is suitable for on-premises deployment and use in hybrid or multi-cloud environments. Data sources that DataStage is compatible with include sequential files, indexed files, relational databases, external data sources, archives, enterprise applications, and more. Also, you can get started with a free trial.

#ETL #Data Integration #Data Workflow

5

Databricks

Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.

#Data Science #Data Dashboard #Database Tools 17 social mentions

6

Upsolver

In this way, Upsolver removes the complexity of Big Data and Real-Time projects and reduces their use time from several weeks or months to several hours. With the latest Volcano technology, this tool queries the entire data lake in less than a millisecond and stores 10x the amount of data in RAM.

#Business & Commerce #Office & Productivity #Online Services 1 social mentions

7

Talend

Talend is one of the best AWS RedShift ETL tools. It allows you to quickly build integration processes by moving components into the graphical workspace, defining connections and relationships, and setting specific properties. This approach helps to create jobs and monitor the progress of their execution.

#Data Integration #ETL #Monitoring Tools 1 social mentions

8

Amazon Kinesis

Amazon Kinesis was built to handle massive amounts of data, allowing it to be uploaded to a Redshift cluster. After the event stream is read and the data is transformed, it is placed into a table in Amazon SCTS in an Amazon ES domain. Thus, there is no need to use a server (instead, you need to integrate AWS ETL and AWS Lambda).

#Stream Processing #Data Management #Analytics 23 social mentions

9

Hevo Data

The last but not least ETL solution from our list of AWS database ETL tools is Hevo, which helps in transferring data and uploading it into the warehouse through a user-friendly interface.

#Data Replication #Data Integration #ETL 8 social mentions