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DBMS > Google Cloud Datastore vs. Microsoft Azure Table Storage vs. Oracle Coherence vs. Tibero vs. Titan

System Properties Comparison Google Cloud Datastore vs. Microsoft Azure Table Storage vs. Oracle Coherence vs. Tibero vs. Titan

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTibero  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 PlatformA Wide Column Store for rapid development using massive semi-structured datasetsOracles in-memory data grid solutionA secure RDBMS, designed for easy portability from OracleTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument storeWide column storeKey-value storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.97
Rank#129  Overall
#22  Key-value stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitecloud.google.com/­datastoreazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­java/­coherenceus.tmaxsoft.com/­products/­tiberogithub.com/­thinkaurelius/­titan
Technical documentationcloud.google.com/­datastore/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencetechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperGoogleMicrosoftOracleTmaxSoftAurelius, owned by DataStax
Initial release20082012200720032012
Current release14.1, August 20236, April 2015
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and AssemblerJava
Server operating systemshostedhostedAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes
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.nononoyes
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)nonoyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIJCache
JPA
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Clojure
Java
Python
Server-side scripts infoStored proceduresusing Google App EnginenonoPersistent Stored Procedure (PSM)yes
TriggersCallbacks using the Google Apps Enginenoyes infoLive Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning infoby range, hash, list or compositeyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, with selectable consistency levelMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononoyes 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.Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsoptimistic lockingconfigurableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyesyes 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.nonoyesno infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights based on private key authentication or shared access signaturesauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard (SQL 92, SQL 99)User authentification and security via Rexster Graph Server

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More resources
Google Cloud DatastoreMicrosoft Azure Table StorageOracle CoherenceTiberoTitan
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