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DBMS > GBase vs. Ignite vs. JaguarDB vs. Yaacomo

System Properties Comparison GBase vs. Ignite vs. JaguarDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonIgnite  Xexclude from comparisonJaguarDB  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionAn analytical database for business intelligence with large customers in China.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Performant, highly scalable DBMS for AI and IoT applicationsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#174  Overall
#86  Relational DBMS
Score5.41
Rank#69  Overall
#9  Key-value stores
#38  Relational DBMS
Score0.00
Rank#348  Overall
#55  Key-value stores
Score0.01
Rank#346  Overall
#145  Relational DBMS
Websitewww.gbase8a.comignite.apache.orgwww.datajaguar.comyaacomo.com
Technical documentationapacheignite.readme.io/­docswww.datajaguar.com/­support.php
DeveloperApache Software FoundationDataJaguar, Inc.Q2WEB GmbH
Initial release201520152009
Current releaseGBase 8aApache Ignite 2.62.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
Solaris
Windows
LinuxAndroid
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)no
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
GBaseIgniteJaguarDBYaacomo
Specific characteristicsSQL support, group by, order by, time-series data auto-aggregation
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, geospatial data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GBaseIgniteJaguarDBYaacomo
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