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DBMS > BigObject vs. Rockset vs. Teradata Aster vs. Weaviate

System Properties Comparison BigObject vs. Rockset vs. Teradata Aster vs. Weaviate

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonRockset  Xexclude from comparisonTeradata Aster  Xexclude from comparisonWeaviate  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesA scalable, reliable search and analytics service in the cloud, built on RocksDBPlatform for big data analytics on multistructured data sources and typesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeRelational DBMSVector DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitebigobject.iorockset.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.bigobject.iodocs.rockset.comweaviate.io/­developers/­weaviate
DeveloperBigObject, Inc.RocksetTeradataWeaviate B.V.
Initial release2015201920052019
Current release1.19, 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 servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesdynamic typingyesyes 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 infoingestion from XML files supportedyes infoin Aster File Storeno
Secondary indexesyesall fields are automatically indexedyesyes 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 statementsRead-only SQL queries, including JOINsyesGraphQL is used as query language
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP RESTADO.NET
JDBC
ODBC
OLE DB
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresLuanoR packagesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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
User concepts infoAccess controlnoAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BigObjectRocksetTeradata AsterWeaviate
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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More resources
BigObjectRocksetTeradata AsterWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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