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DBMS > HEAVY.AI vs. Interbase vs. Kinetica vs. LevelDB vs. Weaviate

System Properties Comparison HEAVY.AI vs. Interbase vs. Kinetica vs. LevelDB vs. Weaviate

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareLight-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeVector 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
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.embarcadero.com/­products/­interbasewww.kinetica.comgithub.com/­google/­leveldbgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.heavy.aidocs.embarcadero.com/­products/­interbasedocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdweaviate.io/­developers/­weaviate
DeveloperHEAVY.AI, Inc.EmbarcaderoKineticaGoogleWeaviate B.V.
Initial release20161984201220112019
Current release5.10, January 2022InterBase 2020, December 20197.1, August 20211.23, February 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialOpen Source infoBSDOpen Source infocommercial license available with Weaviate Enterprise
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.
Implementation languageC++ and CUDACC, C++C++Go
Server operating systemsLinuxAndroid
iOS
Linux
OS X
Windows
LinuxIllumos
Linux
OS X
Windows
Data schemeyesyesyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesnoyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 infoexport as XML data possiblenonono
Secondary indexesnoyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsnoGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageuser defined functionsnono
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationInterbase Change ViewsSource-replica replicationnoneyes
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 configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InterbaseKineticaLevelDBWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InterbaseKineticaLevelDBWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
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