4 simple steps for migrating to
Amazon Redshift with zero coding

4 simple steps for migrating to Amazon Redshift with zero coding
Amazon Redshift integration Create connections between sources to amazon redshift

Create connections
between data sources and Amazon Redshift

data warehouse Amazon Redshift pipeline by selecting tables

Prepare a source to the Amazon Redshift pipeline by selecting tables in bulk

data governance data migration

Assemble a workflow and schedule it to start the Amazon Redshift migration process

share your data over api hub

Share your data
with third-party platforms
over API Hub

Simple and Intuitive

Simple and Intuitive

Switch to Amazon Redshift like a boss

High-Speed Performance

High-Speed Performance

Enjoy Amazon Redshift's high-speed performance with codeless data environment

Prebuilt Transformation

Prebuilt Transformation

Say goodbye to tedious manual tasks with prebuilt transformation templates

Monitoring Data

Monitoring Data

Monitor your Amazon Redshift data frequently

sources to amazon redshift

Hear how Lyftrondata helped accelerate the data
journey of MOL Group

New applications

Amazon Redshift integration Lyftrondata enables instant analytics on WNI weather data that helped us streamline shipping lines. data migration

cloud data management

Koichi Tsuji

Consulting Partner at MOL Group


The larger cloud computing platform Amazon Web Services includes Amazon Redshift ETL as a part of it. It is constructed on top of technology from the massive parallel processing data warehouse company ParAccel to manage large data sets and database migrations.

Faster performance: Amazon Redshift ETL offers immensely resembling executions.
Automated provision: Clients can easily set up, deploy, and manage the Amazon Redshift Connectors interface and it is also cost-effective plus no upfront costs included.
Quickly scale-up: Scales rapidly to meet your needs using the Amazon Redshift Drivers tool.
Petabyte-scale data warehousing: Customers can also leverage petabyte-scale data warehousing with the Amazon Redshift Integration tool.
  • For cross-database queries, Amazon Redshift ETL does not support tables with column-level privileges.
  • Concurrency scaling is not supported by the Amazon Redshift Integration software for queries that read data from other databases.
  • The AWS Glue or federated databases are not supported by the Amazon Redshift Drivers interface for querying catalog objects.
  • The software for Amazon Redshift Connectors does not provide result caching for cross-database queries.

Start modernizing your Amazon Redshift journey today

Amazon Redshift journey