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DBMS > HBase vs. Memcached vs. Sequoiadb vs. TimescaleDB

System Properties Comparison HBase vs. Memcached vs. Sequoiadb vs. TimescaleDB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMemcached  Xexclude from comparisonSequoiadb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableIn-memory key-value store, originally intended for cachingNewSQL database with distributed OLTP and SQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelWide column storeKey-value storeDocument store
Relational DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitehbase.apache.orgwww.memcached.orgwww.sequoiadb.comwww.timescale.com
Technical documentationhbase.apache.org/­book.htmlgithub.com/­memcached/­memcached/­wikiwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.timescale.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSequoiadb Ltd.Timescale
Initial release2008200320132017
Current release2.3.4, January 20211.6.27, May 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSD licenseOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++C
Server operating systemsLinux
Unix
Windows infousing Cygwin
FreeBSD
Linux
OS X
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeschema-free, schema definition possibleschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoyes infooid, date, timestamp, binary, regexnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Proprietary protocolproprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanoJavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoRepcached, a Memcached patch, provides this functionallitySource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes infousing SASL (Simple Authentication and Security Layer) protocolsimple password-based access controlfine grained access rights according to SQL-standard

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More resources
HBaseMemcachedSequoiadbTimescaleDB
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