Google Cloud Dataflow is a fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem.
Cost / License
- Paid
- Proprietary
Platforms
- Online
- Software as a Service (SaaS)
Databricks is described as 'Provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business' and is an website in the development category. There are more than 25 alternatives to Databricks, not only websites but also apps for a variety of platforms, including Mac, SaaS, Windows and Linux apps. The best Databricks alternative is Jupyter, which is both free and Open Source. Other great sites and apps similar to Databricks are Zasper, Jupyterlab, Talend and Datologist.
Google Cloud Dataflow is a fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem.
Spring Cloud Data Flow offers cloud-native microservice-based streaming and batch data processing, ideal for Cloud Foundry and Kubernetes, with flexible programming language support, integration using familiar tools, and powerful design options.

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.



Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.
Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your...










Data Engineering is needlessly complex today. What if we can abstract away a lot of the tedious parts of this and let companies focus on just the data they want to store, and the questions they have on their data?




A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

Palantir Foundry allows you to build apps using data from external databases or apps you create in their platform. Imported or inputted data is stored in the "Ontology" which is a relational/graph/linked database hybrid that allows you to represent and relate data...
All-in-one analytics platform: data connectors, a DuckDB-powered lakehouse, BI dashboards, a semantic layer, and Fi, an AI analyst that answers questions about your data.




Equitus KGNN is an automated data unification platform that ingests, structures, and contextualizes large volumes of data, without traditional ETL.


It great free replacement and it's running on kubernetes directly