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DBMS > GreptimeDB vs. HugeGraph vs. openGauss vs. Sphinx

System Properties Comparison GreptimeDB vs. HugeGraph vs. openGauss vs. Sphinx

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonopenGauss  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA fast-speed and highly-scalable Graph DBMSAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSGraph DBMSRelational DBMSSearch engine
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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegreptime.comgithub.com/­hugegraph
hugegraph.apache.org
gitee.com/­opengauss
opengauss.org
sphinxsearch.com
Technical documentationdocs.greptime.comhugegraph.apache.org/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
sphinxsearch.com/­docs
DeveloperGreptime Inc.BaiduHuawei and openGauss communitySphinx Technologies Inc.
Initial release2022201820192001
Current release0.93.0, March 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open SourceOpen 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 languageRustJavaC, C++, JavaC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Unix
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesyes infoalso supports composite index and range indexyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoANSI SQL 2011SQL-like query language (SphinxQL)
APIs and other access methodsgRPC
HTTP API
JDBC
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
Supported programming languagesC++
Erlang
Go
Java
JavaScript
Groovy
Java
Python
C
C++
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresPythonasynchronous Gremlin script jobsyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by range, list and hash)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSimple rights management via user accountsUsers, roles and permissionsAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
GreptimeDBHugeGraphopenGaussSphinx
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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