Gigaspaces Transaction Support

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Transaction Support - GigaSpaces

    https://docs.gigaspaces.com/latest/dev-java/polling-container-transactions.html
    Transaction Support. Both the receive operation and the actual event action can be configured to be performed under a transaction. Transaction support is required when, for example, an exception occurs in the event listener, and the receive operation needs to be to rolled back (and the actual data event is returned to the space).

Transactions - GigaSpaces

    https://docs.gigaspaces.com/latest/dev-java/transaction-overview.html
    XA/JTA Support. GigaSpaces can be used within an XA transaction using JTA. The OpenSpaces API allows you to work with Spring's JTATransactionManager and provides support for declarative transaction management. The following is an example of how OpenSpaces JTA support can be …

Transactions - docs.gigaspaces.com

    https://docs.gigaspaces.com/xap/14.0/dev-java/the-space-transactions.html
    Transactions. GigaSpace with the different GigaSpaces transaction managers and Spring allow simple declarative definition of transactions. This boils down to the fact that if there is an ongoing transaction running, any operation performed using the GigaSpace interface joins it, using Spring's rich transaction support.

In-Memory Computing Platform GigaSpaces

    https://www.gigaspaces.com/
    New York, NY — October 30, 2019 — GigaSpaces, the provider of InsightEdge, the fastest big data analytics processing platform, announced today that Forrester has positioned GigaSpaces as a strong performer in The Forrester Wave™: Translytical Data Platforms, Q4 2019, following a 24-criterion evaluation of the top 14 translytical data ...

XAP - GigaSpaces

    https://www.gigaspaces.com/products/xap/
    XAP provides an essential set of data store features, such as transactions, indexes, and query language (SQL-like queries). It also handles common functions such as messaging, event processing, data access, and transaction processing (ACID compliant) completely and exclusively in-memory.

In Memory Data Grid GigaSpaces

    https://www.gigaspaces.com/technical-solutions/in-memory-data-grid/
    When SaaS healthcare provider – Pharmacy OnceSource – sought a solution to support their growth and resolve massive data bottlenecks that were affecting performance, they selected GigaSpaces. Pharmacy OneSource was looking for efficiency, performance, scalability, and a platform that would provide a bridge to the cloud.Author: Rotem Gal

In-Memory Data Grid JDBC Driver - GigaSpaces

    https://docs.gigaspaces.com/latest/dev-java/jdbc-driver.html
    In-Memory Data Grid JDBC Driver. The GigaSpaces JDBC interface allows database-driven applications to interact with Spaces via SQL queries and commands. A query processor transparently translates SQL queries into legal Space operations. No integration is required - all you need to do is point the application to the GigaSpaces JDBC driver like any other JDBC driver.

Map API - GigaSpaces

    https://docs.gigaspaces.com/latest/dev-java/map-api.html
    Map API. GigaSpaces allows applications to interact with the space and cache data using the Map API (JCache) or a HashTable API.Accessing the space via the Map API can be done using the GigaMap interfaces. It includes enhanced options such as declarative transactions support, coherent runtime exception hierarchy, timeout operations , TTL, locking and versioning.

About Us GigaSpaces

    https://www.gigaspaces.com/about/
    GigaSpaces provides the fastest in-memory computing platforms for real-time insight to action and extreme transactional processing. With GigaSpaces, enterprises can operationalize machine learning and transactional processing to gain real-time insights on …

Download Center: XAP & InsightEdge GigaSpaces

    https://www.gigaspaces.com/downloads/
    InsightEdge as-a-service at GigaSpaces cloud. Your fast access to InsightEdge data analytics processing platform Deploy InsightEdge for free on Google Cloud, AWS, or Azure and leverage GigaSpaces benefits of high-performance, scalability and low-latency with analytics and machine learning model execution.



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