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DBMS > HEAVY.AI vs. openGemini vs. OpenMLDB vs. SiriDB

System Properties Comparison HEAVY.AI vs. openGemini vs. OpenMLDB vs. SiriDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonopenGemini  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityAn open-source machine learning database that provides a feature platform for training and inferenceOpen Source Time Series DBMS
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.opengemini.org
github.com/­openGemini
openmldb.aisiridb.com
Technical documentationdocs.heavy.aidocs.opengemini.org/­guideopenmldb.ai/­docs/­zh/­maindocs.siridb.com
DeveloperHEAVY.AI, Inc.Huawei and openGemini community4 Paradigm Inc.Cesbit
Initial release2016202220202017
Current release5.10, January 20221.1, July 20232024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0Open SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAGoC++, Java, ScalaC
Server operating systemsLinuxLinux
Windows
LinuxLinux
Data schemeyesschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesInteger, Float, Boolean, Stringyesyes infoNumeric data
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP RESTJDBC
SQLAlchemy
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Go
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators and common users accountsfine grained access rights according to SQL-standardsimple rights management via user accounts

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022openGeminiOpenMLDBSiriDB
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