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DBMS > Amazon Redshift vs. EXASOL vs. TigerGraph vs. Weaviate

System Properties Comparison Amazon Redshift vs. EXASOL vs. TigerGraph vs. Weaviate

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonEXASOL  Xexclude from comparisonTigerGraph  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteaws.amazon.com/­redshiftwww.exasol.comwww.tigergraph.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.aws.amazon.com/­redshiftwww.exasol.com/­resourcesdocs.tigergraph.comweaviate.io/­developers/­weaviate
DeveloperAmazon (based on PostgreSQL)ExasolWeaviate B.V.
Initial release2012200020172019
Current release1.19, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Go
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.nononono
Secondary indexesrestrictedyesyes 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-standardyesSQL-like query language (GSQL)GraphQL is used as query language
APIs and other access methodsJDBC
ODBC
.Net
JDBC
ODBC
WebSocket
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCJava
Lua
Python
R
C++
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsyesno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardRole-based access controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon RedshiftEXASOLTigerGraphWeaviate
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 RedshiftEXASOLTigerGraphWeaviate
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