DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Datastore vs. Linter vs. Titan

System Properties Comparison Google Cloud Datastore vs. Linter vs. Titan

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonLinter  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 PlatformRDBMS for high security requirementsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument storeRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.49
Rank#74  Overall
#13  Document stores
Score0.11
Rank#309  Overall
#142  Relational DBMS
Websitecloud.google.com/­datastorelinter.ru/­entitan.thinkaurelius.com
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperGooglerelex.ru/­enAurelius, owned by DataStax
Initial release200819902012
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemshostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
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
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Clojure
Java
Python
Server-side scripts infoStored proceduresusing Google App Engineyes infoproprietary syntax with the possibility to convert from PL/SQLyes
TriggersCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyes 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
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.no
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 Server

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Cloud DatastoreLinterTitan
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

Tensure Consulting Achieves the Application Development Partner Specialization in Google Cloud Partner Advantage Program
3 May 2022, PR Newswire

NetApp’s cloud-era storage competitors in ‘world of hurt’
10 May 2022, ComputerWeekly.com

Google I/O announces the preview of AlloyDB for PostgreSQL
11 May 2022, Tech Wire Asia

AWS goes live with Amplify Studio: Quick, cloud-hosted application building
22 April 2022, DevClass

Crate.io extends database service offering to Google Cloud
13 April 2022, VentureBeat

provided by Google News

Graph Database Market Size And Forecast | AWS, Marklogic, Cayley, Apache, OrientDB Ltd, IBM, MarkLogic, Cray, Titan, Bitnine Global – Queen Anne and Mangolia News
11 May 2022, Queen Anne and Mangolia News

Beyond Titan: The Evolution of DataStax's New Graph Database
21 June 2016, Datanami

DataStax acquires open source graph database company Aurelius
4 February 2015, ComputerWeekly.com

TigerGraph Launches Graph Database-as-a-Service on Azure - eWEEK
16 July 2020, eWeek

The Graph Database Poised To Pounce On The Mainstream
19 September 2018, The Next Platform

provided by Google News

Job opportunities

Data Scientist
Stats Perform, Remote

Sr. Data Architect - Google Cloud Platform
Twitter, Atlanta, GA

Staff Software Engineer - Revenue Systems (Remote) - Business Technology
Indeed, Michigan

Staff Software Engineer - Revenue Systems (Remote) - Business Technology
Indeed, Wisconsin

Staff Software Engineer - Revenue Systems (Remote) - Business Technology
Indeed, Oklahoma

Data Architect, Graph - Nationwide Opportunities
Amazon Web Services, Inc., Remote

Sr Data Architect, Graph - Nationwide Opportunities
Amazon Web Services, Inc., United States

MindManager Full Stack Developer
COREL CORPORATION USA, United States

Cloud Architect: SaaS Applications (MindManager)
COREL CORPORATION USA, United States

jobs by Indeed



Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Redis logo

The world’s most loved real‑time data platform.
Try free

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Present your product here