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DBMS > Google Cloud Datastore vs. Oracle Coherence vs. TimesTen vs. Titan

System Properties Comparison Google Cloud Datastore vs. Oracle Coherence vs. TimesTen vs. Titan

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTimesTen  Xexclude from comparisonTitan  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 PlatformOracles in-memory data grid solutionIn-Memory RDBMS compatible to OracleTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument storeKey-value storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.84
Rank#76  Overall
#11  Document stores
Score2.55
Rank#110  Overall
#20  Key-value stores
Score1.79
Rank#129  Overall
#64  Relational DBMS
Websitecloud.google.com/­datastorewww.oracle.com/­middleware/­technologies/­coherence.htmlwww.oracle.com/­database/­technologies/­related/­timesten.htmltitan.thinkaurelius.com
Technical documentationcloud.google.com/­datastore/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.oracle.com/­database/­timesten-18.1github.com/­thinkaurelius/­titan/­wiki
DeveloperGoogleOracleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Aurelius, owned by DataStax
Initial release2008200719982012
Current release12c, September 201611 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache license, version 2.0
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 languageJavaJava
Server operating systemshostedAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JCache
JPA
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
C
C++
Java
PL/SQL
Clojure
Java
Python
Server-side scripts infoStored proceduresusing Google App EnginenoPL/SQLyes
TriggersCallbacks using the Google Apps Engineyes infoLive Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes, with selectable consistency levelMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes infovia Faunus, a graph analytics engine
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 Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsconfigurableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infooptionallyyes infoby means of logfiles and checkpointsyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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)authentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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Google Cloud DatastoreOracle CoherenceTimesTenTitan
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