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DBMS > HBase vs. Kdb vs. LevelDB vs. Sequoiadb vs. Sphinx

System Properties Comparison HBase vs. Kdb vs. LevelDB vs. Sequoiadb vs. Sphinx

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonKdb  Xexclude from comparisonLevelDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableHigh performance Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesNewSQL database with distributed OLTP and SQLOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelWide column storeTime Series DBMS
Vector DBMS
Key-value storeDocument store
Relational DBMS
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitehbase.apache.orgkx.comgithub.com/­google/­leveldbwww.sequoiadb.comsphinxsearch.com
Technical documentationhbase.apache.org/­book.htmlcode.kx.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.sequoiadb.com/­en/­index.php?m=Files&a=indexsphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetKx Systems, a division of First Derivatives plcGoogleSequoiadb Ltd.Sphinx Technologies Inc.
Initial release20082000 infokdb was released 2000, kdb+ in 2003201120132001
Current release2.3.4, January 20213.6, May 20181.23, February 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infofree 32-bit versionOpen Source infoBSDOpen Source infoServer: AGPL; Client: Apache V2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaqC++C++C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free, schema definition possibleyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnoyes infooid, date, timestamp, binary, regexno
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.noyesnono
Secondary indexesnoyes infotable attribute 'grouped'noyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query language (q)noSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
proprietary protocol using JSONProprietary protocol
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C++
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoCoprocessors in Javauser defined functionsnoJavaScriptno
Triggersyesyes infowith viewsnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nonoDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACrights management via user accountsnosimple password-based access controlno
More information provided by the system vendor
HBaseKdbLevelDBSequoiadbSphinx
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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HBaseKdbLevelDBSequoiadbSphinx
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