Newsletters Launches Low Code Data Engineering SaaS Platform for Spark with $6 Million Investment has announced the rollout of the new SaaS version of its unique low code data engineering platform, which is designed for data practitioners.

Prophecy aims to help businesses accelerate the development and deployment of data pipelines so that massive incoming data streams can be prepared for analytics and machine learning.

Backed with a $6 million investment from SignalFire and an investment from Ross Mason, founder of Mulesoft (acquired by Salesforce for $6.5 billion in 2018), Prophecy already has several Fortune 500 customers for its enterprise product.

Prophecy delivers a  two-way interoperable product, so the the changes made in the visual drag-and-drop editor are visible in the code editor, and vice-versa. It combines visual drag-and-drop development with agile software practices including code on git, tests, continuous integration, and deployment to production. Prophecy also provides column-level lineage that enables users to track every value from the source systems all the way to final analytics.

The Enterprise product works with all the major Spark distributions in multiple clouds and on-premise, while the SaaS version will launch initially on Databricks (AWS, Azure, and GCP clouds), and later will be expanded to other Spark providers.

As organizations move to the cloud and rely on open source technologies such as Apache Spark and Apache Airflow, Prophecy seeks to enable these companies to access a much larger pool of data practitioners who can now succeed with these technologies using a simple visual interface. Prophecy produces high-quality code that gives the visual developers parity with coders.

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