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DBMS > Geode vs. HEAVY.AI vs. Kinetica vs. TerarkDB vs. Weaviate

System Properties Comparison Geode vs. HEAVY.AI vs. Kinetica vs. TerarkDB vs. Weaviate

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeRelational 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
Score1.99
Rank#133  Overall
#23  Key-value stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitegeode.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comgithub.com/­bytedance/­terarkdbgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgeode.apache.org/­docsdocs.heavy.aidocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcweaviate.io/­developers/­weaviate
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.HEAVY.AI, Inc.KineticaByteDance, originally TerarkWeaviate B.V.
Initial release20022016201220162019
Current release1.1, February 20175.10, January 20227.1, August 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial inforestricted open source version availableOpen 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 languageJavaC++ and CUDAC, C++C++Go
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
Data schemeschema-freeyesyesschema-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.nonononono
Secondary indexesnonoyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query language (OQL)yesSQL-like DML and DDL statementsnoGraphQL is used as query language
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsnono
Triggersyes infoCache Event Listenersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenononono
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.yesyesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights per client and object definablefine 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
GeodeHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaTerarkDBWeaviate
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
GeodeHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaTerarkDBWeaviate
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