DeltaStream vs. GlassFlow vs. Synctify vs. Wing Python IDE Comparison Chart

DeltaStream is a unified serverless stream processing platform that integrates with streaming storage services. Think about it as the compute layer on top of your streaming storage. It provides functionalities of streaming analytics(Stream processing) and streaming databases along with additional features to provide a complete platform to manage, process, secure and share streaming data. DeltaStream provides a SQL based interface where you can easily create stream processing applications such as streaming pipelines, materialized views, microservices and many more. It has a pluggable processing engine and currently uses Apache Flink as its primary stream processing engine. DeltaStream is more than just a query processing layer on top of Kafka or Kinesis. It brings relational database concepts to the data streaming world, including namespacing and role based access control enabling you to securely access, process and share your streaming data regardless of where they are stored.

Synctify is a low-code data platform that enables data teams to create and manage data pipelines with greater speed and control. Designed to bridge the gap between complex data engineering and business agility, Synctify offers a visual and intuitive pipeline builder, robust scheduling and orchestration tools, and built-in data quality checks to ensure reliability. Users can connect to a variety of data sources and destinations with ease, leveraging prebuilt connectors while maintaining full control over transformations through SQL or Python. It emphasizes transparency and traceability with detailed logging, versioning, and audit trails. Synctify supports both batch and streaming data pipelines, enabling teams to manage real-time data flows and large-scale transformations efficiently. With role-based access control and collaborative features, data teams can work together securely and efficiently, reducing time-to-insight and aligning operations with business objectives.