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DBMS > Atos Standard Common Repository vs. Kinetica vs. Machbase Neo vs. Weaviate

System Properties Comparison Atos Standard Common Repository vs. Kinetica vs. Machbase Neo vs. Weaviate

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonKinetica  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonWeaviate  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFully vectorized database across both GPUs and CPUsTimeSeries DBMS for AIoT and BigDataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.07
Rank#348  Overall
#34  Time Series DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.kinetica.commachbase.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.kinetica.commachbase.com/­dbmsweaviate.io/­developers/­weaviate
DeveloperAtos Convergence CreatorsKineticaMachbaseWeaviate B.V.
Initial release2016201220132019
Current release17037.1, August 2021V8.0, August 20231.19, May 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree test version availableOpen Source infocommercial license available with Weaviate Enterprise
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 languageJavaC, C++CGo
Server operating systemsLinuxLinuxLinux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateoptionalyesyesyes 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.yesnonono
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageGraphQL is used as query language
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsC++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes infovolatile and lookup tableyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and roles on table levelsimple password-based access controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Atos Standard Common RepositoryKineticaMachbase Neo infoFormer name was InfinifluxWeaviate
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...
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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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Atos Standard Common RepositoryKineticaMachbase Neo infoFormer name was InfinifluxWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
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