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DBMS > BigObject vs. OrigoDB vs. Snowflake vs. Weaviate

System Properties Comparison BigObject vs. OrigoDB vs. Snowflake vs. Weaviate

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonOrigoDB  Xexclude from comparisonSnowflake  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA fully ACID in-memory object graph databaseCloud-based data warehousing service for structured and semi-structured dataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Object oriented DBMS
Relational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitebigobject.ioorigodb.comwww.snowflake.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.bigobject.ioorigodb.com/­docsdocs.snowflake.net/­manuals/­index.htmlweaviate.io/­developers/­weaviate
DeveloperBigObject, Inc.Robert Friberg et alSnowflake Computing Inc.Weaviate B.V.
Initial release20152009 infounder the name LiveDB20142019
Current release1.19, May 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen SourcecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesno
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)
Linux
Windows
hosted
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes 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 infocan be achieved using .NETyesno
Secondary indexesyesyesyes 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 statementsnoyesGraphQL is used as query language
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
CLI Client
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.NetJavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresLuayesuser defined functionsno
Triggersnoyes infoDomain Eventsno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesdepending on modelyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnoRole based authorizationUsers with fine-grained authorization concept, user roles and pluggable authenticationAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BigObjectOrigoDBSnowflakeWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
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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. ​
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Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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More resources
BigObjectOrigoDBSnowflakeWeaviate
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