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Gigaspaces VS SQLstream

Compare Gigaspaces VS SQLstream and see what are their differences

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Gigaspaces logo Gigaspaces

XAP is real-time transaction processing platform.

SQLstream logo SQLstream

SQLstream, Big Data stream processing software, powering smart services for the Internet of Things from streaming machine and sensor data.
  • 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.

  • SQLstream Landing page
    Landing page //
    2023-01-21

Gigaspaces features and specs

No features have been listed yet.

SQLstream features and specs

  • Real-time Data Processing
    SQLstream provides powerful real-time data processing capabilities, allowing businesses to analyze and react to streaming data with minimal latency.
  • SQL-based Interface
    Users can use their existing SQL skills to interact with data streams, making it easier to integrate into existing systems without needing to learn new programming languages.
  • Scalability
    Designed to handle large volumes of streaming data, SQLstream can scale effectively with business needs, providing reliable performance as data loads increase.
  • Integration with Existing Systems
    Offers integration capabilities with various databases and data sources, facilitating seamless data flow between systems for organizations.
  • Analytics and Insights
    Allows for complex analytics and data insights on-the-fly, providing businesses with actionable intelligence derived from real-time data streams.

Possible disadvantages of SQLstream

  • Complex Setup
    The initial setup and configuration of SQLstream can be complex, requiring expertise to properly implement and optimize the system.
  • Cost
    Depending on user requirements and scale, SQLstream can become costly, which might be a concern for small to medium-sized businesses.
  • Resource Intensive
    Operating at scale, SQLstream may require significant computational resources, including memory and processing power, potentially leading to increased infrastructure costs.
  • Learning Curve
    Although it uses SQL, the variations in streaming SQL might present a learning curve to those unfamiliar with real-time data processing paradigms.
  • Dependency on SQL Skills
    Organizations heavily reliant on other programming languages or paradigms may find the SQL-centric approach limiting and may need to invest in training.

Gigaspaces videos

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SQLstream videos

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SQLstream PCAP Monitor

More videos:

  • Demo - SQLstream Demonstration: Streaming Operational Intelligence

Category Popularity

0-100% (relative to Gigaspaces and SQLstream)

Gigaspaces

SQLstream

Data Management
44 44%
Data Management
56% 56
Analytics
0 0%
Analytics
100% 100
Real Time Data
100 100%
Real Time Data
0% 0
IoT Platform
0 0%
IoT Platform
100% 100

Questions and Answers

As answered by people managing Gigaspaces and SQLstream.

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 SQLstream. For example, how are they different and which one is better?
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What are some alternatives?

When comparing Gigaspaces and SQLstream, you can also consider the following products

Hazelcast - Clustering and highly scalable data distribution platform for Java

Azure Stream Analytics - Azure Stream Analytics offers real-time stream processing in the cloud.

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

AWS IoT Analytics - IoT Management

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

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

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