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DBMS > HEAVY.AI vs. HyperSQL vs. jBASE vs. Kinetica vs. Milvus

System Properties Comparison HEAVY.AI vs. HyperSQL vs. jBASE vs. Kinetica vs. Milvus

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA robust multi-value DBMS comprising development tools and middlewareFully vectorized database across both GPUs and CPUsA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
hsqldb.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kinetica.commilvus.io
Technical documentationdocs.heavy.aihsqldb.org/­web/­hsqlDocsFrame.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.kinetica.commilvus.io/­docs/­overview.md
DeveloperHEAVY.AI, Inc.Rocket Software (formerly Zumasys)Kinetica
Initial release20162001199120122019
Current release5.10, January 20222.7.2, June 20235.77.1, August 20212.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infobased on BSD licensecommercialcommercialOpen Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++ and CUDAJavaC, C++C++, Go
Server operating systemsLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
Linux
Windows
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalyesVector, Numeric and String
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.nonoyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesyesEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
All languages supporting JDBC/ODBC
Java
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava, SQLyesuser defined functionsno
Triggersnoyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelAccess rights for users and roles on table levelRole based access control and fine grained access rights
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HyperSQL infoalso known as HSQLDBjBASEKineticaMilvus
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HyperSQL infoalso known as HSQLDBjBASEKineticaMilvus
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