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DBMS > Google Cloud Datastore vs. TimescaleDB vs. Weaviate vs. Yanza

System Properties Comparison Google Cloud Datastore vs. TimescaleDB vs. Weaviate vs. Yanza

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonTimescaleDB  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 PlatformA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLAn AI-native realtime vector database engine that integrates scalable machine learning models.Time Series DBMS for IoT Applications
Primary database modelDocument storeTime Series DBMSVector DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitecloud.google.com/­datastorewww.timescale.comgithub.com/­weaviate/­weaviate
weaviate.io
yanza.com
Technical documentationcloud.google.com/­datastore/­docsdocs.timescale.comweaviate.io/­developers/­weaviate
DeveloperGoogleTimescaleWeaviate B.V.Yanza
Initial release2008201720192015
Current release2.15.0, May 20241.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprisecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono 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 languageCGo
Server operating systemshostedLinux
OS X
Windows
Windows
Data schemeschema-freeyesyes, maps to GraphQL interfaceschema-free
Typing infopredefined data types such as float or dateyes, details herenumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes 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.noyesnono
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)yes infofull PostgreSQL SQL syntaxGraphQL is used as query languageno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
RESTful HTTP/JSON API
HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
JavaScript / TypeScript
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresusing Google App Engineuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellnono
TriggersCallbacks using the Google Apps Engineyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingyes, across time and space (hash partitioning) attributesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replication with hot standby and reads on replicas infoyesnone
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 pathsyesnono
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
no
More information provided by the system vendor
Google Cloud DatastoreTimescaleDBWeaviateYanza
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 DatastoreTimescaleDBWeaviateYanza
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Weaviate, an ANN Database with CRUD support
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