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DBMS > Amazon Redshift vs. Google BigQuery vs. IBM Db2 warehouse vs. SQream DB vs. Weaviate

System Properties Comparison Amazon Redshift vs. Google BigQuery vs. IBM Db2 warehouse vs. SQream DB vs. Weaviate

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSQream DB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsLarge scale data warehouse service with append-only tablesCloud-based data warehousing servicea GPU-based, columnar RDBMS for big data analytics workloadsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteaws.amazon.com/­redshiftcloud.google.com/­bigquerywww.ibm.com/­products/­db2/­warehousesqream.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.aws.amazon.com/­redshiftcloud.google.com/­bigquery/­docsdocs.sqream.comweaviate.io/­developers/­weaviate
DeveloperAmazon (based on PostgreSQL)GoogleIBMSQream TechnologiesWeaviate B.V.
Initial release20122010201420172019
Current release2022.1.6, December 20221.19, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, CUDA, Haskell, Java, ScalaGo
Server operating systemshostedhostedhostedLinux
Data schemeyesyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Typesyes 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 infoImport/export of XML data possibleno
Secondary indexesrestrictednoyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyesyesGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
.Net
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions infoin JavaScriptPL/SQL, SQL PLuser defined functions in Pythonno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon RedshiftGoogle BigQueryIBM Db2 warehouse infoformerly named IBM dashDBSQream DBWeaviate
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon RedshiftGoogle BigQueryIBM Db2 warehouse infoformerly named IBM dashDBSQream DBWeaviate
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