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DBMS > Badger vs. Datomic vs. Hypertable vs. InfinityDB vs. Kdb

System Properties Comparison Badger vs. Datomic vs. Hypertable vs. InfinityDB vs. Kdb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonInfinityDB  Xexclude from comparisonKdb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn 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 durabilityAn open source BigTable implementation based on distributed file systems such as HadoopA Java embedded Key-Value Store which extends the Java Map interfaceHigh performance Time Series DBMS
Primary database modelKey-value storeRelational DBMSWide column storeKey-value storeTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comboilerbay.comkx.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comboilerbay.com/­infinitydb/­manualcode.kx.com
DeveloperDGraph LabsCognitectHypertable Inc.Boiler Bay Inc.Kx Systems, a division of First Derivatives plc
Initial release20172012200920022000 infokdb was released 2000, kdb+ in 2003
Current release1.0.6735, June 20230.9.8.11, March 20164.03.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercialcommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureC++Javaq
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or datenoyesnoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nononoyes
Secondary indexesnoyesrestricted infoonly exact value or prefix value scansno infomanual creation possible, using inversions based on multi-value capabilityyes infotable attribute 'grouped'
SQL infoSupport of SQLnonononoSQL-like query language (q)
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesGoClojure
Java
C++
Java
Perl
PHP
Python
Ruby
JavaC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnonouser defined functions
TriggersnoBy using transaction functionsnonoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersselectable replication factor on file system levelnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynononono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnonononorights management via user accounts
More information provided by the system vendor
BadgerDatomicHypertableInfinityDBKdb
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
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BadgerDatomicHypertableInfinityDBKdb
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