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DBMS > Infobright vs. Quasardb vs. Rockset vs. Weaviate

System Properties Comparison Infobright vs. Quasardb vs. Rockset vs. Weaviate

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Editorial information provided by DB-Engines
NameInfobright  Xexclude from comparisonQuasardb  Xexclude from comparisonRockset  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendDistributed, high-performance timeseries databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSTime Series DBMSDocument storeVector DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.88
Rank#198  Overall
#92  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websiteignitetech.com/­softwarelibrary/­infobrightdbquasar.airockset.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdoc.quasar.ai/­masterdocs.rockset.comweaviate.io/­developers/­weaviate
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.quasardbRocksetWeaviate B.V.
Initial release2005200920192019
Current release3.14.1, January 20241.19, May 2023
License infoCommercial or Open Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen 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 languageCC++C++Go
Server operating systemsLinux
Windows
BSD
Linux
OS X
Windows
hosted
Data schemeyesschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infointeger and binarydynamic typingyes 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.nonono infoingestion from XML files supportedno
Secondary indexesno infoKnowledge Grid Technology used insteadyes infowith tagsall fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL-like query languageRead-only SQL queries, including JOINsGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP APIHTTP RESTGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoconsistent hashingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesCryptographically strong user authentication and audit trailAccess rights for users and organizations can be defined via Rockset consoleAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
InfobrightQuasardbRocksetWeaviate
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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More resources
InfobrightQuasardbRocksetWeaviate
DB-Engines blog posts

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

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