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DBMS > EXASOL vs. Google BigQuery vs. OushuDB vs. Weaviate

System Properties Comparison EXASOL vs. Google BigQuery vs. OushuDB vs. Weaviate

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonOushuDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Large scale data warehouse service with append-only tablesA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score0.05
Rank#357  Overall
#151  Relational DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitewww.exasol.comcloud.google.com/­bigquerywww.oushu.com/­product/­oushuDBgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.exasol.com/­resourcescloud.google.com/­bigquery/­docswww.oushu.com/­documentationweaviate.io/­developers/­weaviate
DeveloperExasolGoogleOushuWeaviate B.V.
Initial release200020102019
Current release4.0.1, August 20201.19, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen 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 languageGo
Server operating systemshostedLinux
Data schemeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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
Secondary indexesyesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyesFull-featured ANSI SQL supportGraphQL is used as query language
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIJDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScriptyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 controlAccess rights for users, groups and roles according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Kerberos, SSL and role based accessAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EXASOLGoogle BigQueryOushuDBWeaviate
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
EXASOLGoogle BigQueryOushuDBWeaviate
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