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DBMS > FeatureBase vs. HBase vs. InfinityDB vs. Kdb

System Properties Comparison FeatureBase vs. HBase vs. InfinityDB vs. Kdb

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHBase  Xexclude from comparisonInfinityDB  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Wide-column store based on Apache Hadoop and on concepts of BigTableA Java embedded Key-Value Store which extends the Java Map interfaceHigh performance Time Series DBMS
Primary database modelRelational 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
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitewww.featurebase.comhbase.apache.orgboilerbay.comkx.com
Technical documentationdocs.featurebase.comhbase.apache.org/­book.htmlboilerbay.com/­infinitydb/­manualcode.kx.com
DeveloperMolecula and Pilosa Open Source ContributorsApache Software Foundation infoApache top-level project, originally developed by PowersetBoiler Bay Inc.Kx Systems, a division of First Derivatives plc
Initial release2017200820022000 infokdb was released 2000, kdb+ in 2003
Current release2022, May 20222.3.4, January 20214.03.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaq
Server operating systemsLinux
macOS
Linux
Unix
Windows infousing Cygwin
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesschema-free, schema definition possibleyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes 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 indexesnonono infomanual creation possible, using inversions based on multi-value capabilityyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL queriesnonoSQL-like query language (q)
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Java API
RESTful HTTP 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 languagesJava
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanouser defined functions
Triggersnoyesnoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesSingle row ACID (across millions of columns)ACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnorights management via user accounts
More information provided by the system vendor
FeatureBaseHBaseInfinityDBKdb
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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FeatureBaseHBaseInfinityDBKdb
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