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DBMS > Graph Engine vs. GreptimeDB vs. Hive vs. OushuDB vs. TDSQL for MySQL

System Properties Comparison Graph Engine vs. GreptimeDB vs. Hive vs. OushuDB vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHive  Xexclude from comparisonOushuDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source Time Series DBMS built for increased scalability, high performance and efficiencydata warehouse software for querying and managing large distributed datasets, built on HadoopA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelGraph DBMS
Key-value store
Time Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.graphengine.iogreptime.comhive.apache.orgwww.oushu.com/­product/­oushuDBwww.tencentcloud.com/­products/­dcdb
Technical documentationwww.graphengine.io/­docs/­manualdocs.greptime.comcwiki.apache.org/­confluence/­display/­Hive/­Homewww.oushu.com/­documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperMicrosoftGreptime Inc.Apache Software Foundation infoinitially developed by FacebookOushuTencent
Initial release2010202220122013
Current release3.1.3, April 20224.0.1, August 2020
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CRustJava
Server operating systems.NETAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMLinuxhosted
Data schemeyesschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsFull-featured ANSI SQL supportyes
APIs and other access methodsRESTful HTTP APIgRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
C++
Erlang
Go
Java
JavaScript
C++
Java
PHP
Python
C
C++
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesPythonyes infouser defined functions and integration of map-reduceyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingyesAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes
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 accountsAccess rights for users, groups and rolesKerberos, SSL and role based accessUsers with fine-grained authorization concept
More information provided by the system vendor
Graph Engine infoformer name: TrinityGreptimeDBHiveOushuDBTDSQL for MySQL
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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Graph Engine infoformer name: TrinityGreptimeDBHiveOushuDBTDSQL for MySQL
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