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DBMS > GreptimeDB vs. Memcached vs. SingleStore vs. Sphinx

System Properties Comparison GreptimeDB vs. Memcached vs. SingleStore vs. Sphinx

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonMemcached  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyIn-memory key-value store, originally intended for cachingMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSKey-value storeRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score16.84
Rank#32  Overall
#4  Key-value stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitegreptime.comwww.memcached.orgwww.singlestore.comsphinxsearch.com
Technical documentationdocs.greptime.comgithub.com/­memcached/­memcached/­wikidocs.singlestore.comsphinxsearch.com/­docs
DeveloperGreptime Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSingleStore Inc.Sphinx Technologies Inc.
Initial release2022200320132001
Current release1.6.29, June 20248.5, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD licensecommercial infofree developer edition availableOpen Source infoGPL version 2, commercial licence available
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 languageRustCC++, GoC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux info64 bit version requiredFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free, schema definition possibleschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesno
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.nono
Secondary indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoyes infobut no triggers and foreign keysSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
HTTP API
JDBC
Proprietary protocolCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Proprietary protocol
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresPythonnoyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infohash partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesnoyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes 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.yes
User concepts infoAccess controlSimple rights management via user accountsyes infousing SASL (Simple Authentication and Security Layer) protocolFine grained access control via users, groups and rolesno
More information provided by the system vendor
GreptimeDBMemcachedSingleStore infoformer name was MemSQLSphinx
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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GreptimeDBMemcachedSingleStore infoformer name was MemSQLSphinx
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