Software Alternatives, Accelerators & Startups

Gigaspaces VS Streamdata.io

Compare Gigaspaces VS Streamdata.io and see what are their differences

Gigaspaces logo Gigaspaces

XAP is real-time transaction processing platform.

Streamdata.io logo Streamdata.io

Streamdata.io provides a proxy-as-a-service that turns any request-response REST APIs into an event-driven streaming API.
  • Gigaspaces Landing page
    Landing page //
    2023-07-03

XAP Skyline is a cloud-native, in memory data grid (IMDG) solution designed for mission critical cloud-native apps. It provides extreme performance data processing and transaction management, significantly reducing access times and increasing throughput, which is crucial for real-time decisioning and transactional applications. XAP Skyline solves the latency challenge by bringing the data closer to the application, into the same application network, and uses an in-memory data store to enable fast and concurrent access to the data. The platform offers a seamless, efficient architecture that supports the dynamic scaling and deployment flexibility required by modern applications, without compromising on response time.

  • Streamdata.io Landing page
    Landing page //
    2023-04-02

Category Popularity

0-100% (relative to Gigaspaces and Streamdata.io)
Data Management
43 43%
57% 57
Big Data
0 0%
100% 100
Data Processing
100 100%
0% 0
Analytics
0 0%
100% 100

Questions and Answers

As answered by people managing Gigaspaces and Streamdata.io.

Who are some of the biggest customers of your product?

Gigaspaces's answer

  • American Airlines
  • Credit Agricole -CSX Transportation -Societe Generale
  • Avanza Bank

User comments

Share your experience with using Gigaspaces and Streamdata.io. For example, how are they different and which one is better?
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What are some alternatives?

When comparing Gigaspaces and Streamdata.io, you can also consider the following products

Hazelcast - Clustering and highly scalable data distribution platform for Java

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

OpenZoo - OpenZoo is an open-source, distributed, stream and batch processing framework.