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DBMS > GreptimeDB vs. HugeGraph vs. Quasardb vs. Sphinx

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

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonQuasardb  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 DBMSDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSGraph DBMSTime Series DBMSSearch engine
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
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegreptime.comgithub.com/­hugegraph
hugegraph.apache.org
quasar.aisphinxsearch.com
Technical documentationdocs.greptime.comhugegraph.apache.org/­docsdoc.quasar.ai/­mastersphinxsearch.com/­docs
DeveloperGreptime Inc.BaiduquasardbSphinx Technologies Inc.
Initial release2022201820092001
Current release0.93.14.1, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen 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++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Unix
BSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free, schema definition possibleyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryno
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 indexyes infowith tagsyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
HTTP API
JDBC
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP APIProprietary protocol
Supported programming languagesC++
Erlang
Go
Java
JavaScript
Groovy
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresPythonasynchronous Gremlin script jobsnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoconsistent hashingSharding 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 replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnono
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 persistentyesyesyes infoby using LevelDByes 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.yesyes infoTransient mode
User concepts infoAccess controlSimple rights management via user accountsUsers, roles and permissionsCryptographically strong user authentication and audit trailno
More information provided by the system vendor
GreptimeDBHugeGraphQuasardbSphinx
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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