Compare - Google Cloud Dataflow VS Giga Spaces
Here’s the difference between Google Cloud Dataflow and Giga Spaces. The comparison is based on pricing, deployment, business model, and other important factors.
About Google Cloud Dataflow
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.
About Giga Spaces
GigaSpaces Technologies, Inc. provides application platforms for Java and .Net environments. The company's products include XAP In-Memory Data Grid. XAP In-Memory Data Grid, provides an in-memory cache for fast data access, and an advanced distributed cache for performance and scalability. It serves investment banks, exchanges, market data providers, hedge funds, retail banks, telecommunications and mobile carriers, Web-commerce and online gaming enterprises, and Internet media organizations. GigaSpaces Technologies, Inc. was formerly known as J-Spaces.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Streaming |
| Stage | Late Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Freemium, Contact Sales |
| Location | US | Israel |
| Companies using it | ||
| Contact info |
Add to compare
