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DBMS > Google Cloud Datastore vs. Microsoft Azure Synapse Analytics vs. Weaviate vs. Yanza

System Properties Comparison Google Cloud Datastore vs. Microsoft Azure Synapse Analytics vs. Weaviate vs. Yanza

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWeaviate  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAn AI-native realtime vector database engine that integrates scalable machine learning models.Time Series DBMS for IoT Applications
Primary database modelDocument storeRelational DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitecloud.google.com/­datastoreazure.microsoft.com/­services/­synapse-analyticsgithub.com/­weaviate/­weaviate
weaviate.io
yanza.com
Technical documentationcloud.google.com/­datastore/­docsdocs.microsoft.com/­azure/­synapse-analyticsweaviate.io/­developers/­weaviate
DeveloperGoogleMicrosoftWeaviate B.V.Yanza
Initial release2008201620192015
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++Go
Server operating systemshostedhostedWindows
Data schemeschema-freeyesyes, maps to GraphQL interfaceschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyes 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.nononono
Secondary indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedno
SQL infoSupport of SQLSQL-like query language (GQL)yesGraphQL is used as query languageno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
JavaScript / TypeScript
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresusing Google App EngineTransact SQLnono
TriggersCallbacks using the Google Apps Enginenonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnono
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesAPI Keys
OpenID Connect Discovery
no
More information provided by the system vendor
Google Cloud DatastoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWeaviateYanza
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
Google Cloud DatastoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWeaviateYanza
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