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DBMS > BigObject vs. InfinityDB vs. Kinetica vs. Weaviate

System Properties Comparison BigObject vs. InfinityDB vs. Kinetica vs. Weaviate

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonInfinityDB  Xexclude from comparisonKinetica  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA Java embedded Key-Value Store which extends the Java Map interfaceFully vectorized database across both GPUs and CPUsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitebigobject.ioboilerbay.comwww.kinetica.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.bigobject.ioboilerbay.com/­infinitydb/­manualdocs.kinetica.comweaviate.io/­developers/­weaviate
DeveloperBigObject, Inc.Boiler Bay Inc.KineticaWeaviate B.V.
Initial release2015200220122019
Current release4.07.1, August 20211.19, May 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Go
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMLinux
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes 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.nononono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like DML and DDL statementsGraphQL is used as query language
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresLuanouser defined functionsno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesno infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnonoAccess rights for users and roles on table levelAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BigObjectInfinityDBKineticaWeaviate
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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BigObjectInfinityDBKineticaWeaviate
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