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DBMS > BigObject vs. eXtremeDB vs. GeoSpock vs. GridGain

System Properties Comparison BigObject vs. eXtremeDB vs. GeoSpock vs. GridGain

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesNatively in-memory DBMS with options for persistency, high-availability and clusteringSpatial and temporal data processing engine for extreme data scaleGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMS
Time Series DBMS
Relational DBMSKey-value store
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websitebigobject.iowww.mcobject.comgeospock.comwww.gridgain.com
Technical documentationdocs.bigobject.iowww.mcobject.com/­docs/­extremedb.htmwww.gridgain.com/­docs/­index.html
DeveloperBigObject, Inc.McObjectGeoSpockGridGain Systems, Inc.
Initial release201520012007
Current release8.2, 20212.0, September 2019GridGain 8.5.1
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java, JavascriptJava, C++, .Net
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
AIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosupport of XML interfaces availablenoyes
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith the option: eXtremeSQLANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresLuayesnoyes (compute grid and cache interceptors can be used instead)
Triggersnoyes infoby defining eventsnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnoAccess rights for users can be defined per tableSecurity Hooks for custom implementations
More information provided by the system vendor
BigObjecteXtremeDBGeoSpockGridGain
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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BigObjecteXtremeDBGeoSpockGridGain
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