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DBMS > GreptimeDB vs. Postgres-XL vs. Sphinx vs. TempoIQ

System Properties Comparison GreptimeDB vs. Postgres-XL vs. Sphinx vs. TempoIQ

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSphinx  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen source search engine for searching in data from different sources, e.g. relational databasesScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelTime Series DBMSRelational DBMSSearch engineTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegreptime.comwww.postgres-xl.orgsphinxsearch.comtempoiq.com (offline)
Technical documentationdocs.greptime.comwww.postgres-xl.org/­documentationsphinxsearch.com/­docs
DeveloperGreptime Inc.Sphinx Technologies Inc.TempoIQ
Initial release20222014 infosince 2012, originally named StormDB20012012
Current release10 R1, October 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla public licenseOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustCC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free, schema definition possibleyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyes infodistributed, parallel query executionSQL-like query language (SphinxQL)no
APIs and other access methodsgRPC
HTTP API
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocolHTTP API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresPythonuser defined functionsnono
Triggersyesnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlSimple rights management via user accountsfine grained access rights according to SQL-standardnosimple authentication-based access control
More information provided by the system vendor
GreptimeDBPostgres-XLSphinxTempoIQ infoformerly TempoDB
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...
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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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GreptimeDBPostgres-XLSphinxTempoIQ infoformerly TempoDB
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