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DBMS > GreptimeDB vs. OrigoDB vs. Rockset vs. Spark SQL

System Properties Comparison GreptimeDB vs. OrigoDB vs. Rockset vs. Spark SQL

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA fully ACID in-memory object graph databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSDocument store
Object oriented DBMS
Document storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegreptime.comorigodb.comrockset.comspark.apache.org/­sql
Technical documentationdocs.greptime.comorigodb.com/­docsdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGreptime Inc.Robert Friberg et alRocksetApache Software Foundation
Initial release20222009 infounder the name LiveDB20192014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC#C++Scala
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
Windows
hostedLinux
OS X
Windows
Data schemeschema-free, schema definition possibleyesschema-freeyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsdynamic typingyes
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 infocan be achieved using .NETno infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexedno
SQL infoSupport of SQLyesnoRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methodsgRPC
HTTP API
JDBC
.NET Client API
HTTP API
LINQ
HTTP RESTJDBC
ODBC
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.NetGo
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresPythonyesnono
Triggersyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritydepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
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 accountsRole based authorizationAccess rights for users and organizations can be defined via Rockset consoleno
More information provided by the system vendor
GreptimeDBOrigoDBRocksetSpark SQL
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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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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GreptimeDBOrigoDBRocksetSpark SQL
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