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DBMS > GreptimeDB vs. Hypertable vs. OrientDB vs. Sphinx

System Properties Comparison GreptimeDB vs. Hypertable vs. OrientDB vs. Sphinx

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHypertable  Xexclude from comparisonOrientDB  Xexclude from comparisonSphinx  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyAn open source BigTable implementation based on distributed file systems such as HadoopMulti-model DBMS (Document, Graph, Key/Value)Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSWide column storeDocument store
Graph DBMS
Key-value store
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitegreptime.comorientdb.orgsphinxsearch.com
Technical documentationdocs.greptime.comwww.orientdb.com/­docs/­last/­index.htmlsphinxsearch.com/­docs
DeveloperGreptime Inc.Hypertable Inc.OrientDB LTD; CallidusCloud; SAPSphinx Technologies Inc.
Initial release2022200920102001
Current release0.9.8.11, March 20163.2.29, March 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoApache version 2Open 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 languageRustC++JavaC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java JDK (>= JDK 6)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free, schema definition possibleschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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 indexesyesrestricted infoonly exact value or prefix value scansyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoSQL-like query language, no joinsSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
HTTP API
JDBC
C++ API
Thrift
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresPythonnoJava, Javascriptno
TriggersnoHooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
User concepts infoAccess controlSimple rights management via user accountsnoAccess rights for users and roles; record level security configurableno
More information provided by the system vendor
GreptimeDBHypertableOrientDBSphinx
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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