4 Simple Steps for Migrating to
Amazon SageMaker with zero coding

Amazon SageMaker integration sagemaker data management

Create connections
between data
sources and Amazon SageMaker

Lyftrondata SageMaker machine learning integration

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

data integration solutions SageMaker analytics

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

ML tools integration

Share your data
with third-party platforms
over API Hub

Amazon SageMaker
  • Simple and Intuitive

    Simple and Intuitive

    Switch to Amazon SageMaker like a boss.

  • high-performance

    High Performance

    Enjoy Amazon SageMaker high performance with codeless data environment.

  • high-performance

    Prebuilt Transformation

    Say goodbye to tedious manual tasks with prebuilt transformation templates

  • Simple and Intuitive

    Monitoring Data

    Monitor your Amazon SageMaker data frequently.

Hear how Lyftrondata helped accelerate the data
journey of MOL Group

100X
Faster
reporting
98%
New applications
onboarded
$550K
Spend
reduction
70%
Accelerated
sales

data integration solutions Lyftrondata enables instant analytics on WNI weather data that helped us streamline shipping lines. Lyftrondata SageMaker

SageMaker data management

Koichi Tsuji

Consulting Partner at MOL Group
machine learning integration

FAQs

Amazon SageMaker Integration is a platform that allows companies to answer business questions quickly and efficiently. The platform can be used as a major building block in a digital transformation or automation initiative. Amazon SageMaker Connectors tool allows teams to build processes in a more efficient, repeatable, less error-prone, and less risky way.

Reports: Amazon SageMaker Connectors tool enables effortless data reporting.
Self-Service: Amazon SageMaker Integration offers self-service management.
Advanced Analytics: Amazon SageMaker ETL offers Advanced Analytics.
Data Source Access: Amazon SageMaker Drivers cool enables Data Source Access.

Amazon SageMaker Integration is not capable of reading a similar extract.

The Amazon SageMaker Connectors tool is not favorable to use when multiple users try to access the same workflow on a server as it becomes unstable and frequently crashes.

Do not support special characters: Amazon SageMaker ETL does not support special characters.

Limited Functionality: Amazon SageMaker Drivers tool has limited Functionality with the Free Version.

Start modernizing your Amazon SageMaker journey today

Amazon SageMaker integration