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DBMS > Microsoft Azure Synapse Analytics vs. PlanetScale vs. Weaviate vs. Yanza

System Properties Comparison Microsoft Azure Synapse Analytics vs. PlanetScale vs. Weaviate vs. Yanza

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPlanetScale  Xexclude from comparisonWeaviate  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, distributed, serverless MySQL database platform built on top of VitessAn AI-native realtime vector database engine that integrates scalable machine learning models.Time Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSVector DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsplanetscale.comgithub.com/­weaviate/­weaviate
weaviate.io
yanza.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsplanetscale.com/­docsweaviate.io/­developers/­weaviate
DeveloperMicrosoftPlanetScaleWeaviate B.V.Yanza
Initial release2016202020192015
Current release1.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license available with Weaviate Enterprisecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoGo
Server operating systemshostedDocker
Linux
macOS
Windows
Data schemeyesyesyes, maps to GraphQL interfaceschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy referencesno
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 indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedno
SQL infoSupport of SQLyesyes infowith proprietary extensionsGraphQL is used as query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
GraphQL query language
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript / TypeScript
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresTransact SQLyes infoproprietary syntaxnono
Triggersnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at shard levelnono
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.yesyes
User concepts infoAccess controlyesUsers with fine-grained authorization concept infono user groups or rolesAPI Keys
OpenID Connect Discovery
no
More information provided by the system vendor
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePlanetScaleWeaviateYanza
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 WarehousePlanetScaleWeaviateYanza
DB-Engines blog posts

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

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