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DBMS > Google Cloud Datastore vs. Quasardb vs. Titan vs. Trafodion

System Properties Comparison Google Cloud Datastore vs. Quasardb vs. Titan vs. Trafodion

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonQuasardb  Xexclude from comparisonTitan  Xexclude from comparisonTrafodion  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.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDistributed, high-performance timeseries databaseTitan is a Graph DBMS optimized for distributed clusters.Transactional SQL-on-Hadoop DBMS
Primary database modelDocument storeTime Series DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitecloud.google.com/­datastorequasar.aigithub.com/­thinkaurelius/­titantrafodion.apache.org
Technical documentationcloud.google.com/­datastore/­docsdoc.quasar.ai/­mastergithub.com/­thinkaurelius/­titan/­wikitrafodion.apache.org/­documentation.html
DeveloperGooglequasardbAurelius, owned by DataStaxApache Software Foundation, originally developed by HP
Initial release2008200920122014
Current release3.14.1, January 20242.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache license, version 2.0Open Source infoApache 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 languageC++JavaC++, Java
Server operating systemshostedBSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyes infointeger and binaryyesyes
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 indexesyesyes infowith tagsyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languagenoyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Clojure
Java
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresusing Google App EnginenoyesJava Stored Procedures
TriggersCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replication with selectable replication factoryesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowwith Hadoop integrationyes infovia Faunus, a graph analytics engineyes infovia user defined functions and HBase
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 Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes infoRelationships in graphyes
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 infoby using LevelDByes 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.noyes infoTransient modeno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Cryptographically strong user authentication and audit trailUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreQuasardbTitanTrafodion
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