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DBMS > Google Cloud Datastore vs. Titan vs. Yaacomo vs. YDB

System Properties Comparison Google Cloud Datastore vs. Titan vs. Yaacomo vs. YDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonTitan  Xexclude from comparisonYaacomo  Xexclude from comparisonYDB  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.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTitan is a Graph DBMS optimized for distributed clusters.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computingA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument storeGraph DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitecloud.google.com/­datastoregithub.com/­thinkaurelius/­titanyaacomo.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­thinkaurelius/­titan/­wikiydb.tech/­en/­docs
DeveloperGoogleAurelius, owned by DataStaxQ2WEB GmbHYandex
Initial release2008201220092019
License infoCommercial or Open SourcecommercialOpen Source infoApache license, version 2.0commercialOpen Source infoApache 2.0; commercial license available
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 languageJava
Server operating systemshostedLinux
OS X
Unix
Windows
Android
Linux
Windows
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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
SQL infoSupport of SQLSQL-like query language (GQL)noyesSQL-like query language (YQL)
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresusing Google App Engineyesno
TriggersCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infovia pluggable storage backendshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosyesSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes infovia Faunus, a graph analytics enginenono
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.Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes infoRelationships in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)User authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Google Cloud DatastoreTitanYaacomoYDB
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