Generated from real user reviews
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Verified User
Small-Business (50 or fewer emp.)
5.0/5
"Prophecy Feedback"
What do you like about Prophecy?
It provides easy to use visual editor, It generates open source format code, No vendor lock-in, Automated release management.
Verified User
Enterprise (> 1000 emp.)
5.0/5
"Rapid Spark data pipeline development, testing and orchestration"
What do you like about Prophecy?
Prophecy hides all cumbersome boilerplate code and provides a data flow model of programming. Along with seamlessly integrating with compute platform,
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Pamela B.
Enterprise (> 1000 emp.)
5.0/5
"Complete data engineering package"
What do you like about Prophecy?
Wonderful Product Support Easy to use Amazing new features aligning to the customer needs
Radhika S.
Enterprise (> 1000 emp.)
5.0/5
"Complete data engineering package"
What do you like about Prophecy?
1. Getting started on designing and building pipelines is easier and faster 2. Need less in-depth knowledge of spark and other technology frameworks f
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Pamela B.
Enterprise (> 1000 emp.)
5.0/5
"Complete data engineering package"
What do you like about Prophecy?
Wonderful Product Support Easy to use Amazing new features aligning to the customer needs
Pavil V.
Small-Business (50 or fewer emp.)
5.0/5
"Building data pipelines using prophecy"
What do you like about Prophecy?
Prophecy helps in designing data pipelines, automatic code generation along with test cases. Git integration helps in code check-ins. Overall it incre
See Related User Reviews
Verified User
Small-Business (50 or fewer emp.)
5.0/5
"Prophecy Feedback"
What do you like about Prophecy?
It provides easy to use visual editor, It generates open source format code, No vendor lock-in, Automated release management.
Radhika S.
Enterprise (> 1000 emp.)
5.0/5
"Complete data engineering package"
What do you like about Prophecy?
1. Getting started on designing and building pipelines is easier and faster 2. Need less in-depth knowledge of spark and other technology frameworks f
See Related User Reviews
Gaurav M.
Mid-Market (51-1000 emp.)
4.5/5
"Prohecy - The best no code etl product"
What do you like about Prophecy?
I really like the niche and elegant UI of Prohecy. Via Prohecy, we can connect the dots between various sources and destinations. It provides a variet
Verified User
Enterprise (> 1000 emp.)
5.0/5
"Rapid Spark data pipeline development, testing and orchestration"
What do you like about Prophecy?
Prophecy hides all cumbersome boilerplate code and provides a data flow model of programming. Along with seamlessly integrating with compute platform,
See Related User Reviews
Verified User
Mid-Market (51-1000 emp.)
5.0/5
"Streamlining Data Pipelines with Unparalleled Customer Service"
What do you dislike about Prophecy?
One aspect of Prophecy that could be improved is the availability of connector gems for certain platforms, such as BigQuery. Although the platform cur
Himanshu P.
Enterprise (> 1000 emp.)
5.0/5
"Amazing Experience With The tool and from prophecy team"
What do you dislike about Prophecy?
Can have more features added in the tool.
See Related User Reviews
Gaurav M.
Mid-Market (51-1000 emp.)
4.5/5
"Prohecy - The best no code etl product"
What do you dislike about Prophecy?
Sometimes it is difficult to identify the root cause of pipeline issues due to sudden restart loops of a job, so we need to deep dive into pipeline lo
Verified User
Enterprise (> 1000 emp.)
3.5/5
"Building ETL pipelines made effortless"
What do you dislike about Prophecy?
In terms of connecting inputs for join it's difficult to understand which datasets are connecting. The syntax for prophecy is difficult comoared to
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Sripavan P.
Enterprise (> 1000 emp.)
5.0/5
"Bringing everything together under one umbrella"
What do you dislike about Prophecy?
Product is evolving which has minor bugs but their support team is helping to solve them quickly. Kudo's to strong support/field engineering team
Pavil V.
Small-Business (50 or fewer emp.)
5.0/5
"Building data pipelines using prophecy"
What do you dislike about Prophecy?
Downtime and support all features like external jar udf's(java)
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prateek k.
Enterprise (> 1000 emp.)
5.0/5
"LOW CODE NO CODE"
What do you dislike about Prophecy?
Learning curve: While Prophecy's codeless approach makes it easier for users to build and manage data pipelines, it can still take some time to learn
Sonali D.
Enterprise (> 1000 emp.)
4.5/5
"Emerging Data engineering tool"
What do you dislike about Prophecy?
- Few complex transformation scenarios are not fulfilled.
See Related User Reviews
Verified User
Small-Business (50 or fewer emp.)
5.0/5
"Prophecy Feedback"
What do you dislike about Prophecy?
It doesn't work with Serverless Spark clusters yet.
prateek k.
Enterprise (> 1000 emp.)
5.0/5
"LOW CODE NO CODE"
What do you dislike about Prophecy?
Learning curve: While Prophecy's codeless approach makes it easier for users to build and manage data pipelines, it can still take some time to learn
- Easy to build ETL pipelines
- Elegant UI and drag and drop features to create complex data pipelines
- Prophecy is a flexible tool. The custom code can be easily added Review collected by and hosted on G2.com.
- Error handling should be improvised for end users. Review collected by and hosted on G2.com.
It provides easy to use visual editor, It generates open source format code, No vendor lock-in, Automated release management. Review collected by and hosted on G2.com.
It doesn't work with Serverless Spark clusters yet. Review collected by and hosted on G2.com.
Automatically generating code without writing any code manually. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
Prophecy.io is a powerful data engineering platform that has revolutionized how we manage our data pipelines. It offers a robust set of features and integrations, making it easy to connect with popular cloud services like Google Cloud Platform (GCP), Snowflake, and Amazon S3. With Prophecy, we have built, tested, and deployed complex data pipelines with ease, saving valuable time and resources.
One of the standout features of Prophecy.io is its ability to handle multiple transformations within our data pipelines using Gems. This has improved our data quality and reduced the time spent on manual coding.
Prophecy.io's detailed operational metrics provide valuable insights into our data pipelines, enabling us to monitor performance and identify bottlenecks.
The platform's job scheduler is another feature that has made our lives much more manageable. With Prophecy.io, we no longer rely on complex cron jobs or hard-coded scripts.
What truly sets Prophecy.io apart is its remarkable customer service. Our experience working with Nimbus and Kapil has been nothing short of outstanding. Nimbus is always available to address any technical issues, while Kapil, our dedicated Manager, has been instrumental in managing our account seamlessly. Their enthusiasm, expertise, and willingness to share valuable insights into Prophecy.io's use cases have helped us uncover deeper insights and unlock the full potential of our data. Review collected by and hosted on G2.com.
One aspect of Prophecy that could be improved is the availability of connector gems for certain platforms, such as BigQuery. Although the platform currently lacks native support for BigQuery connectors, the Prophecy team has been highly responsive to our feedback and is actively working to incorporate this functionality into their offering.
This proactive approach to customer feedback demonstrates Prophecy's commitment to continually enhancing its platform and catering to the evolving needs of their users. Review collected by and hosted on G2.com.
Easy to understand
Customer Support
Optimised Pipelines
It is compatible with any type of datasource
We can add customised code as well
Overall, an ETL tool can help humans to understand better and analyse data related to prophecy, which can lead to more accurate predictions and insights Review collected by and hosted on G2.com.
Not all gems are present, but because their customer support is excellent, they can provide gems within 2-3 working days.
While developing the ETL tool like this they need to think of different use case and make the tool compatible for different sets of data Review collected by and hosted on G2.com.
I recently had the pleasure of using Prophecy and that left me thoroughly impressed. It has elegant design and seamless functionality, every aspect of this product has been crafted with precision and care ensuring an unparalleled user experience. Review collected by and hosted on G2.com.
The product has a lot of features which sometimes take initial efforts to learn. Post that it is an absolute breeze. Review collected by and hosted on G2.com.
Abinitio Transpilation
Prophecy IDE
Team Support
High quality generated spark code Review collected by and hosted on G2.com.
Product is evolving which has minor bugs but their support team is helping to solve them quickly. Kudo's to strong support/field engineering team Review collected by and hosted on G2.com.
Support is always there when needed with quick responses and meeting sessions.
See instance results during development for each section of the Pipeline GEMs.
Features (GEMs, Sub-Graphs) that can be shared with the development Team,
Easy connection to source options.
Lineage to see transformed data and where it comes from.
Integration with git.
Online Help.
Constant feature enhancements that we recommend or from other customers for all to benefit with quick deployment. Review collected by and hosted on G2.com.
Learning Curve to know best practices and approaches to designing optimized Pipelines.
Sometimes slow interface, but it has improved with updates and changes on the in-house setup. Review collected by and hosted on G2.com.
Prophecy is very flexible in converting the legacy ETLs into Spark and it's saving lot of manual hours that we need to put to get the job done Review collected by and hosted on G2.com.
It gets slow sometimes and it takes sometime to get used to the tool Review collected by and hosted on G2.com.
1. The ease of use.
2. Quickly design and develop complex data engineering workloads using simple gems! 💎
3. Built-in equivalent spark code converter, which is even further customisable as per our specific needs! Review collected by and hosted on G2.com.
1. Slow interface sometimes.
2. Missing some of the complex data science extensions.
3. Live on-development support would have been better. Review collected by and hosted on G2.com.
