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DBMS > Microsoft Azure Synapse Analytics vs. STSdb vs. TinkerGraph vs. Weaviate

System Properties Comparison Microsoft Azure Synapse Analytics vs. STSdb vs. TinkerGraph vs. Weaviate

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSTSdb  Xexclude from comparisonTinkerGraph  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSKey-value storeGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Score0.12
Rank#344  Overall
#34  Graph DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsgithub.com/­STSSoft/­STSdb4tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlingithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsweaviate.io/­developers/­weaviate
DeveloperMicrosoftSTS Soft SCWeaviate B.V.
Initial release2016201120092019
Current release4.0.8, September 20151.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, commercial license availableOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#JavaGo
Server operating systemshostedWindows
Data schemeyesyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)yesyes 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 indexesyesnonoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnonoGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client APITinkerPop 3GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
Java
PHP
C#
Java
Groovy
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresTransact SQLnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesnonoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSTSdbTinkerGraphWeaviate
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
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSTSdbTinkerGraphWeaviate
DB-Engines blog posts

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

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