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DBMS > Altibase vs. Badger vs. Datomic vs. Ehcache vs. Kdb

System Properties Comparison Altibase vs. Badger vs. Datomic vs. Ehcache vs. Kdb

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonBadger  Xexclude from comparisonDatomic  Xexclude from comparisonEhcache  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA widely adopted Java cache with tiered storage optionsHigh performance Time Series DBMS
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value storeTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitealtibase.comgithub.com/­dgraph-io/­badgerwww.datomic.comwww.ehcache.orgkx.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comwww.ehcache.org/­documentationcode.kx.com
DeveloperAltibaseDGraph LabsCognitectTerracotta Inc, owned by Software AGKx Systems, a division of First Derivatives plc
Initial release19992017201220092000 infokdb was released 2000, kdb+ in 2003
Current releasev7.3, 2023, August 20231.0.6735, June 20233.10.0, March 20223.6, May 2018
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0commercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availablecommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJava, ClojureJavaq
Server operating systemsAIX
HP-UX
Linux
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAll OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonononoyes
Secondary indexesyesnoyesnoyes infotable attribute 'grouped'
SQL infoSupport of SQLANSI SQL-92nononoSQL-like query language (q)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP APIJCacheHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC
C++
Java
GoClojure
Java
JavaC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyes infoTransaction Functionsnouser defined functions
TriggersyesnoBy using transaction functionsyes infoCache Event Listenersyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone infoBut extensive use of caching in the application peersSharding infoby using Terracotta Serverhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone infoBut extensive use of caching in the application peersyes infoby using Terracotta ServerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnononorights management via user accounts
More information provided by the system vendor
AltibaseBadgerDatomicEhcacheKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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AltibaseBadgerDatomicEhcacheKdb
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