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Prophecy Data Engineering

Prophecy Inc | Prophecy Managed (ver 2.5.8-14)

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External reviews

28 reviews
from G2

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


    Gaurav M.

Prohecy - The best no code etl product

  • May 14, 2024
  • Review provided by G2

What do you like best about the product?
I really like the niche and elegant ui of prohecy, via prohecy we can connect the dots between various soruces and destination, it provides a various number of transformation like join,split, api enrichment etc.. Apart from this,I really like the logging feature as well. It's column lineage feature set it apart from other etl platform
What do you dislike about the product?
Sometimes it is difficult to identify root cause of pipeline feature due to sudded restarts loop of a job, so we need to deep dive into pipeline logs to find it. Also some topics in documentation can have more real life examples to enable user to use and apply them in the pipeline
What problems is the product solving and how is that benefiting you?
With prophecy and databrick integration, we are able to schedule 1k+ databricks jobs using prophecy scheduler. Our jobs consists of bronze to silver etl, qc jobs, gold flatten jobs and some realtime spark streaming jobs as well. With prohecy we are able to properly utilize databricks resource. It provides a lot of insights of data using custom transformation which enable our downstream team to quickly research on user trend on our platform which ultimately increase user churn rate on our platform


    Information Technology and Services

Prophecy Feedback

  • March 07, 2024
  • Review provided by G2

What do you like best about the product?
It provides easy to use visual editor, It generates open source format code, No vednor lockin, Automated release management.
What do you dislike about the product?
It doesnt works with Serverless spark clusters yet.
What problems is the product solving and how is that benefiting you?
Prophecy visual editor makes it very easy to write ETL jobs and test them.


    Insurance

less code and user friendly

  • December 22, 2023
  • Review provided by G2

What do you like best about the product?
good tool for begineers in programming.
What do you dislike about the product?
recommendations in programming can be improved.
What problems is the product solving and how is that benefiting you?
Abinitio migration to open source Spark.


    Insurance

Building ETL pipelines made effortless

  • December 18, 2023
  • Review verified by G2

What do you like best about the product?
Automatically generating code without writing any code manually.
What do you dislike about the product?
In terms of connecting inputs for join it's difficult to understand which datasets are connecting.
The syntax for prophecy is difficult comoared to scala syntax.
What problems is the product solving and how is that benefiting you?
Converting ab initio code into scala/spark code.


    Pavan K.

Best Abinitio to Spark Migration tool in the market

  • December 05, 2023
  • Review verified by G2

What do you like best about the product?
Best UI Experience
Best Support Team
High quality generated code
What do you dislike about the product?
Debugging is difficult sometimes
some amount of learning is required to use this product
What problems is the product solving and how is that benefiting you?
Migrating Abinitio code to Spark code


    Nagarjuna T.

Best low code solution

  • November 28, 2023
  • Review verified by G2

What do you like best about the product?
Easy UI based development
Automated tools to deploy to AWS and Azure cloud env
Good product support
What do you dislike about the product?
Sometime dedugging is difficult from Prophecy UI.
What problems is the product solving and how is that benefiting you?
It helping us to migrating the applications from Ab Initio to Spark


    MOHIT S.

Best Low-Code tool in the market.

  • November 22, 2023
  • Review verified by G2

What do you like best about the product?
User friendly.
Easy to Learn
Strong Product Support
What do you dislike about the product?
Difficult to debugg spark issues some times
What problems is the product solving and how is that benefiting you?
Migration from Abinitio to Scala/Spark framework.


    Ajay J.

One stop for low code solution

  • August 16, 2023
  • Review verified by G2

What do you like best about the product?
- Easy to build ETL pipelines
- Elegant UI and drag and drop features to create complex data pipelines
- Prophecy is flexibile tool. The custom code can be easily added
What do you dislike about the product?
- Error handling should be improvised for end users.
What problems is the product solving and how is that benefiting you?
- I have built few complex pipelines with large datasets with many columns.
- Data sampling feature is amazing which helps debugging and understanding the data easily.


    Pamela B.

Complete data engineering package

  • August 10, 2023
  • Review provided by G2

What do you like best about the product?
Wonderful Product Support
Easy to use
Amazing new features aligning to the customer needs
What do you dislike about the product?
Better dignostics for on-Prem infra issues
What problems is the product solving and how is that benefiting you?
Accelarating ETL Developemen, adopting new technologies and data modernization


    Radhika S.

Complete data engineering package

  • August 10, 2023
  • Review provided by G2

What do you like best about the product?
1. Getting started on designing and building pipelines is easier and faster
2. Need less in-depth knowledge of spark and other technology frameworks for a head start
3. Easy to orchestrate the workflow and visualize the pipelines.
4. Strong customer support from the field engineers.
What do you dislike about the product?
1. Lot of features under the hood are not easily configurable through the UI. (Example : Better debugging options, gems could offer more configuration options)
2. Although there are cool features in the UI, its not very intuitive. This can be improved. For example, the config and schema options could be more straightforward.
3. Need better User manual , to avoid constant engagement with the developers.
What problems is the product solving and how is that benefiting you?
Low code for spark data pipelines