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DBMS > CrateDB vs. FeatureBase vs. HBase vs. Kdb

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

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonHBase  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionDistributed Database based on LuceneReal-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 BigTableHigh performance Time Series DBMS
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSWide column storeTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitecratedb.comwww.featurebase.comhbase.apache.orgkx.com
Technical documentationcratedb.com/­docsdocs.featurebase.comhbase.apache.org/­book.htmlcode.kx.com
DeveloperCrateMolecula and Pilosa Open Source ContributorsApache Software Foundation infoApache top-level project, originally developed by PowersetKx Systems, a division of First Derivatives plc
Initial release2013201720082000 infokdb was released 2000, kdb+ in 2003
Current release2022, May 20222.3.4, January 20213.6, May 2018
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache version 2commercial 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 languageJavaGoJavaq
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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 indexesyesnonoyes infotable attribute 'grouped'
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL queriesnoSQL-like query language (q)
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
Java API
RESTful HTTP API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Java
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions (Javascript)yes infoCoprocessors in Javauser defined functions
Triggersnonoyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyyesSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlrights management via user accountsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACrights management via user accounts
More information provided by the system vendor
CrateDBFeatureBaseHBaseKdb
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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More resources
CrateDBFeatureBaseHBaseKdb
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