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DBMS > GreptimeDB vs. Hive vs. Memcached vs. Prometheus vs. Quasardb

System Properties Comparison GreptimeDB vs. Hive vs. Memcached vs. Prometheus vs. Quasardb

Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHive  Xexclude from comparisonMemcached  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencydata warehouse software for querying and managing large distributed datasets, built on HadoopIn-memory key-value store, originally intended for cachingOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelTime Series DBMSRelational DBMSKey-value storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitegreptime.comhive.apache.orgwww.memcached.orgprometheus.ioquasar.ai
Technical documentationdocs.greptime.comcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­memcached/­memcached/­wikiprometheus.io/­docsdoc.quasar.ai/­master
DeveloperGreptime Inc.Apache Software Foundation infoinitially developed by FacebookDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalquasardb
Initial release20222012200320152009
Current release3.1.3, April 20221.6.27, May 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoBSD licenseOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageRustJavaCGoC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeschema-free, schema definition possibleyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoNumeric data onlyyes infointeger and binary
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 infoImport of XML data possibleno
Secondary indexesyesyesnonoyes infowith tags
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnonoSQL-like query language
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
Proprietary protocolRESTful HTTP/JSON APIHTTP API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C++
Java
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresPythonyes infouser defined functions and integration of map-reducenonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoRepcached, a Memcached patch, provides this functionallityyes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlSimple rights management via user accountsAccess rights for users, groups and rolesyes infousing SASL (Simple Authentication and Security Layer) protocolnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
GreptimeDBHiveMemcachedPrometheusQuasardb
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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