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DBMS > Google Cloud Datastore vs. TimesTen vs. Titan vs. Weaviate

System Properties Comparison Google Cloud Datastore vs. TimesTen vs. Titan vs. Weaviate

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonTimesTen  Xexclude from comparisonTitan  Xexclude from comparisonWeaviate  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-Memory RDBMS compatible to OracleTitan is a Graph DBMS optimized for distributed clusters.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeRelational DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitecloud.google.com/­datastorewww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­thinkaurelius/­titangithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationcloud.google.com/­datastore/­docsdocs.oracle.com/­database/­timesten-18.1github.com/­thinkaurelius/­titan/­wikiweaviate.io/­developers/­weaviate
DeveloperGoogleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Aurelius, owned by DataStaxWeaviate B.V.
Initial release2008199820122019
Current release11 Release 2 (11.2.2.8.0)1.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license, version 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes, details hereyesyesyes 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 indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query language (GQL)yesnoGraphQL is used as query language
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PL/SQL
Clojure
Java
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresusing Google App EnginePL/SQLyesno
TriggersCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyes infovia Faunus, a graph analytics engineno
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 Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby means of logfiles and checkpointsyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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-standardUser authentification and security via Rexster Graph ServerAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Google Cloud DatastoreTimesTenTitanWeaviate
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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Google Cloud DatastoreTimesTenTitanWeaviate
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