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DBMS > EJDB vs. Geode vs. IBM Db2 warehouse vs. Kinetica vs. LevelDB

System Properties Comparison EJDB vs. Geode vs. IBM Db2 warehouse vs. Kinetica vs. LevelDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGeode  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)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 CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelDocument storeKey-value storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#331  Overall
#46  Document stores
Score1.51
Rank#147  Overall
#25  Key-value stores
Score1.26
Rank#162  Overall
#73  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Websitegithub.com/­Softmotions/­ejdbgeode.apache.orgwww.ibm.com/­products/­db2/­warehousewww.kinetica.comgithub.com/­google/­leveldb
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgeode.apache.org/­docsdocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperSoftmotionsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.IBMKineticaGoogle
Initial release20122002201420122011
Current release1.1, February 20177.1, August 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache Version 2; commercial licenses available as GemfirecommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC, C++C++
Server operating systemsserver-lessAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinuxIllumos
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyesno
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 infoImport/export of XML data possiblenono
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnoSQL-like query language (OQL)yesSQL-like DML and DDL statementsno
APIs and other access methodsin-process shared libraryJava Client API
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnouser defined functionsPL/SQL, SQL PLuser defined functionsno
Triggersnoyes infoCache Event Listenersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights per client and object definablefine grained access rights according to SQL-standardAccess rights for users and roles on table levelno

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More resources
EJDBGeodeIBM Db2 warehouse infoformerly named IBM dashDBKineticaLevelDB
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