DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > GridDB vs. XAP

System Properties Comparison GridDB vs. XAP

Please select another system to include it in the comparison.

Our visitors often compare GridDB and XAP with Redis, MongoDB and Elasticsearch.

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonXAP  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataHigh performant in-memory data grid for mission critical applications. Insight Edge from the same company extends XAP for AI/ML support, BI and other interfaces
Primary database modelTime Series DBMSDocument store
Key-value store infoValues are user defined objects
Secondary database modelsKey-value store
Relational DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#200  Overall
#10  Time Series DBMS
Score0.84
Rank#164  Overall
#24  Document stores
#29  Key-value stores
Websitegriddb.netwww.gigaspaces.com/­products/­xap
Technical documentationgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpdocs.gigaspaces.com/­latest/­landing.html
DeveloperToshiba CorporationGigaspaces Technologies
Initial release20132000
Current release4.2, June 201914.5.0, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .Net
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono infoXML can be used for describing objects metadata
Secondary indexesyesyes
SQL infoSupport of SQLSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)SQL-like query language and DML statements
APIs and other access methodsProprietary protocolGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresnoyes
Triggersyesyes infoEvent Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHash based
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication infosynchronous or asynchronous
Master-slave replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseRole-based access control
More information provided by the system vendor
GridDBXAP
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GridDBXAP
Recent citations in the news

Top 3 In-memory Computing Platforms
6 November 2019, Customer Think

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

GigaSpaces opens up its in-memory data grid
9 August 2016, SiliconANGLE

GigaSpaces Empowers Developers with Open Source In-Memory Computing Platform
11 August 2016, insideBIGDATA

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

provided by Google News




Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Present your product here