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Composable DataOps Platform

Composable Analytics, Inc. | 2.0.21327.0

Windows, Windows Server 2022 with SQL Server 2019 Standard Microsoft Windows Server 2022 with SQL Server 2022 Standard - 64-bit Amazon Machine Image (AMI)

Reviews from AWS Marketplace

1 AWS reviews
  • 5 star
    1
  • 4 star
    0
  • 3 star
    0
  • 2 star
    0
  • 1 star
    0

External reviews

12 reviews
from G2

External reviews are not included in the AWS star rating for the product.

5-star reviews ( Show all reviews )

    Big Data Architect

Composable is a game-changer in the DataOps and MLOps space

  • November 22, 2023
  • Review verified by AWS Marketplace

Our experience with the Composable DataOps Platform has been nothing short of exceptional. It is truly a comprehensive dataops solution, and has accelerated our development of multiple data products.

We find that Composable has a good mix of "low-code" as well as custom development endpoints, making it incredibly user-friendly and highly adaptable to our specific requirements. This characteristic not only accelerates our development processes but also ensures that customization is easy. Most importantly, the Composable's robust automation capabilities have proven to be exceptionally reliable.

Composable has become the backbone of our data operations, providing a seamless and efficient experience from end to end.

    Gokulnath M.

One tool for all your needs !

  • October 05, 2023
  • Review provided by G2

What do you like best about the product?
It's so easy to learn and user friendly!
You don't need different tools for ETL,data visualization, it's all available in Composable.
What do you dislike about the product?
It will be nice to have a desktop app to use ,instead of just web login .
What problems is the product solving and how is that benefiting you?
Managing and loading data from sales force using traditional method is time consuming and often takes lot of space. CA tool solves this by directly connecting to sales force and saves time by eliminating the ftp process of raw data.

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