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DBMS > BigObject vs. EXASOL vs. Geode vs. IBM Db2 warehouse vs. Kinetica

System Properties Comparison BigObject vs. EXASOL vs. Geode vs. IBM Db2 warehouse vs. Kinetica

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEXASOL  Xexclude from comparisonGeode  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesCloud-based data warehousing serviceFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitebigobject.iowww.exasol.comgeode.apache.orgwww.ibm.com/­products/­db2/­warehousewww.kinetica.com
Technical documentationdocs.bigobject.iowww.exasol.com/­resourcesgeode.apache.org/­docsdocs.kinetica.com
DeveloperBigObject, Inc.ExasolOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.IBMKinetica
Initial release20152000200220142012
Current release1.1, February 20177.1, August 2021
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono infoImport/export of XML data possibleno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (OQL)yesSQL-like DML and DDL statements
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
Java Client API
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuauser defined functionsuser defined functionsPL/SQL, SQL PLuser defined functions
Triggersnoyesyes infoCache Event Listenersyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights per client and object definablefine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
BigObjectEXASOLGeodeIBM Db2 warehouse infoformerly named IBM dashDBKinetica
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