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DBMS > GreptimeDB vs. mSQL vs. OrigoDB vs. Spark SQL vs. Tibero

System Properties Comparison GreptimeDB vs. mSQL vs. OrigoDB vs. Spark SQL vs. Tibero

Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencymSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingA secure RDBMS, designed for easy portability from Oracle
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitegreptime.comhughestech.com.au/­products/­msqlorigodb.comspark.apache.org/­sqlus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.greptime.comorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperGreptime Inc.Hughes TechnologiesRobert Friberg et alApache Software FoundationTmaxSoft
Initial release202219942009 infounder the name LiveDB20142003
Current release4.4, October 20213.5.0 ( 2.13), September 20236, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustCC#ScalaC and Assembler
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-free, schema definition possibleyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesyes
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 infocan be achieved using .NETnoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like DML and DDL statementsyes
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
.NET Client API
HTTP API
LINQ
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C
C++
Delphi
Java
Perl
PHP
Tcl
.NetJava
Python
R
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresPythonnoyesnoPersistent Stored Procedure (PSM)
Triggersnoyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Corehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono infoplanned for next version
User concepts infoAccess controlSimple rights management via user accountsnoRole based authorizationnofine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
GreptimeDBmSQL infoMini SQLOrigoDBSpark SQLTibero
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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More resources
GreptimeDBmSQL infoMini SQLOrigoDBSpark SQLTibero
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