Here’s the difference between Google Cloud Dataflow and Risingwave Labs. The comparison is based on pricing, deployment, business model, and other important factors.
Google Cloud Dataflow is a cloud-based data processing service for both batch and real-time data streaming applications. It enables developers to set up processing pipelines for integrating, preparing and analyzing large data sets, such as those found in Web analytics or big data analytics applications. The Cloud Dataflow software expands on earlier Google parallel processing projects, including MapReduce, which originated at the company. Cloud Dataflow is designed to bring to entire analytics pipelines the style of fast parallel execution that MapReduce brought to a single type of computational sort for batch processing jobs.
Risingwave Labs is an early-stage start-up that innovates next-generation database systems. The company develops RisingWave, a cloud-native sql streaming database for modern real-time applications. RisingWave is a cloud-native streaming database that uses sql as the interface language. It is designed to reduce the complexity and cost of building real-time applications. RisingWave consumes streaming data, performs continuous queries, and updates results dynamically. As a database system, RisingWave maintains results inside its own storage and allows users to access data efficiently. Risingwave Labs was founded in early 2021 by a team of experienced database researchers and practitioners who have previously worked for the likes of, AWS Redshift, Microsoft Azure, Snowflake, LinkedIn, Uber, etc. Risingwave Labs has raised tens of millions of us dollars from top-tier vc funds and angels.
Overview | ||
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Categories | Data Streaming | Data Streaming |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise, Mid size | SMB's, Mid-Size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium | Contact Sales |
Location | US | Santa Clara, California |
Companies using it | ||
Contact info |