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28 Prophecy Reviews
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 Review collected by and hosted on G2.com.
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 Review collected by and hosted on G2.com.
Prophecy hides all cumbersome boilerplate code and provide a data flow model of programming .Along with seamlessly integrating with compute platform , git and CI/CD . Helps becoming 10X productive , teams really loves it Review collected by and hosted on G2.com.
No negative feature found so far , teams want new gems created all the time to integrated diverse ecosystem Review collected by and hosted on G2.com.
Writing any code using a drag-and-drop interface and pre-built connectors to different data sources and destinations.
Automated data lineage: Prophecy automatically generates and tracks data lineage, making it easier for users to understand where their data comes from and how it's being transformed as it moves through the pipeline.
Collaboration: Prophecy includes built-in collaboration features, allowing teams to work together on building and managing data pipelines. Review collected by and hosted on G2.com.
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 the tool and become proficient in using it effectively.
Limited customization: Prophecy's drag-and-drop interface is designed to be easy to use, but it may not provide the level of customization or control that some users require for their specific use cases.
Limited support for some data sources and destinations: While Prophecy supports a wide range of data sources and destinations, some less common sources or destinations may not be supported out of the box.
Cost: Prophecy is a commercial tool and may not be cost-effective for some organizations, particularly smaller ones with limited budgets. Review collected by and hosted on G2.com.
Easy UI based development
Automated tools to deploy to AWS and Azure cloud env
Good product support Review collected by and hosted on G2.com.
Sometime dedugging is difficult from Prophecy UI. Review collected by and hosted on G2.com.
Best UI Experience
Best Support Team
High quality generated code Review collected by and hosted on G2.com.
Debugging is difficult sometimes
some amount of learning is required to use this product Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
- 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 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 vednor lockin, Automated release management. Review collected by and hosted on G2.com.
It doesnt works 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.