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DBMS > AgensGraph vs. EsgynDB vs. GreptimeDB vs. Prometheus vs. Sphinx

System Properties Comparison AgensGraph vs. EsgynDB vs. GreptimeDB vs. Prometheus vs. Sphinx

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyOpen-source Time Series DBMS and monitoring systemOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitebitnine.net/­agensgraphwww.esgyn.cngreptime.comprometheus.iosphinxsearch.com
Technical documentationbitnine.net/­documentationdocs.greptime.comprometheus.io/­docssphinxsearch.com/­docs
DeveloperBitnine Global Inc.EsgynGreptime Inc.Sphinx Technologies Inc.
Initial release20162015202220152001
Current release2.1, December 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, JavaRustGoC++
Server operating systemsLinux
OS X
Windows
LinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemedepending on used data modelyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyno
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.nononono infoImport of XML data possible
Secondary indexesyesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesyesyesnoSQL-like query language (SphinxQL)
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
ODBC
gRPC
HTTP API
JDBC
RESTful HTTP/JSON APIProprietary protocol
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBC/ADO.NetC++
Erlang
Go
Java
JavaScript
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesJava Stored ProceduresPythonnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardSimple rights management via user accountsnono
More information provided by the system vendor
AgensGraphEsgynDBGreptimeDBPrometheusSphinx
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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