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DBMS > BigObject vs. RocksDB vs. VelocityDB vs. Weaviate

System Properties Comparison BigObject vs. RocksDB vs. VelocityDB vs. Weaviate

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonRocksDB  Xexclude from comparisonVelocityDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeGraph DBMS
Object oriented DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.00
Rank#385  Overall
#40  Graph DBMS
#21  Object oriented DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitebigobject.iorocksdb.orgvelocitydb.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.bigobject.iogithub.com/­facebook/­rocksdb/­wikivelocitydb.com/­UserGuideweaviate.io/­developers/­weaviate
DeveloperBigObject, Inc.Facebook, Inc.VelocityDB IncWeaviate B.V.
Initial release2015201320112019
Current release9.4.0, June 20247.x1.19, May 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoBSDcommercialOpen 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 languageC++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)
LinuxAny that supports .NET
Data schemeyesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyesyes 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 indexesyesnoyesyes 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 statementsnonoGraphQL is used as query language
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
C++ API
Java API
.NetGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C++
Go
Java
Perl
Python
Ruby
.NetJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresLuanonono
TriggersnoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes
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 tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
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.yesyesyesyes
User concepts infoAccess controlnonoBased on Windows AuthenticationAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BigObjectRocksDBVelocityDBWeaviate
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...
» more
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
BigObjectRocksDBVelocityDBWeaviate
DB-Engines blog posts

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

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