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XAP System Properties

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Editorial information provided by DB-Engines
DescriptionIn-memory computing software platform
Database modelKey-value store Values are user defined objects
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Rank#165  Overall
#24  Key-value stores
Technical documentationdocs.gigaspaces.com
DeveloperGigaspaces Technologies
Initial release2000
License Commercial or Open Sourcecommercial limited edition free
Cloud-based Only available as a cloud serviceno
Implementation languageJava, C++, .Net
Server operating systems.NET
All OS with a Java VM
Data schemeyes
Typing predefined data types such as float or dateyes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no XML can be used for describing objects metadata
Secondary indexesyes
SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)no SQL-like dialect for querying objects
APIs and other access methodsJDBC
Supported programming languages.Net
Triggersyes Event Listeners
Partitioning methods Methods for storing different data on different nodesyes Hash based
Replication methods Methods for redundantly storing data on multiple nodesMaster-master replication synchronous or asynchronous
Master-slave replication synchronous or asynchronous
MapReduce Offers an API for user-defined Map/Reduce methodsno Map-Reduce pattern can be built with XAP task executors
Consistency concepts Methods to ensure consistency in a distributed systemImmediate Consistency Consistency level configurable: ALL, QUORUM, ANY
Foreign keys Referential integrityno
Transaction concepts Support to ensure data integrity after non-atomic manipulations of dataconfigurable
Concurrency Support for concurrent manipulation of datayes
Durability Support for making data persistentyes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.yes
User concepts Access controlAccess rights for users and roles
More information provided by the system vendor
Specific characteristics

XAP is an In-Memory Data Grid that scales your digital business performance by orders of magnitude. Our open platform provides microsecond-scale transaction processing, data scalability and powerful event-driven workflows. 

XAP scales with your business needs, from simple data processing, to complex transactional workloads, all the way to leveraging hybrid storage and data center tiers.

Competitive advantages

Millions of transactions per second, Sub-millisecond latencies, 100% Consistency,  High Availability 

Typical application scenarios

Organizations across industries and with a variety of challenges use the XAP In-Memory Data Grid to meet their business needs. Those include:

Financial Services and Banking:

·       Trade reconciliation

·       Real-time mark-to-market for mutual funds

·       Real-time risk management

·       Online trading execution

·       Real-time analytics for big data market data

eCommerce and Online Retail:

·       Serving Black Friday traffic with no downtime

·       High performance caching for eCommerce platforms

·       Real-time personalized shopping enablement

·       Omni-channel retail

Transportation and Logistics:

·       Airport management and operations

·       Flight operations and planning

·       Baggage operations

·       Passenger processing

·       Transportation pricing and revenue management

·       Aviation data intelligence

·       Fleet management

·       Real-time shipment tracking

·       Real-time billing

·       Dynamic route generation and re-routing


·       Handling high throughput messages in various formats and from multiple sources

·       Supporting interactive applications with multiple users

·       Meeting regulatory requirements around data integrity and auditing

·       Cost containment


·       Providing real-time personalized incentives for higher conversions

·       Accommodating high volume of game moves while avoiding server failures

·       Accommodating high traffic volume

·       Embedding rules engine for game events

Key customers

Bank Of America, Goldman Sachs , ESPN, CSX, Barclays , Avanza, IBM, Kohls, Morgan Stanley, PharmacyOne Source, Sears, QVC , Belk

Licensing and pricing models

Core, Subscription , ELA , ALA , Capacity


Successfully Handling Multi-Terabyte Data Fabrics
16 March 2017

Real-Time Risk Management for Financial Services
6 March 2017

How IoT Can Impact Your Business in 2017 and Beyond
28 February 2017

Digital Transformation in the Retail Sector: Kohl’s Journey
20 February 2017

Spark DC Interactive Meetup: HTAP with Spark and In-Memory Data Grids
19 February 2017

3rd party products and services

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources
Recent citations in the news

GigaSpaces Empowers Developers with Open Source In-Memory Computing Platform
9 August 2016, Business Wire (press release)

Space-based Architecture and Microservices in XAP
29 December 2015, DZone News

GigaSpaces Launches the Next Generation Apache Spark Distribution
6 September 2016, Business Wire (press release)

In-Memory Analytics to Boost Flight Ops for Major US Airline
11 April 2016, Datanami

GigaSpaces Upgrades In-Memory Platform, Eyes Retail
15 April 2015, EnterpriseTech

provided by Google News

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