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DBMS > Google Cloud Datastore vs. Tarantool vs. Titan

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

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonTarantool  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 PlatformIn-memory database with an integrated application serverTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument storeKey-value storeGraph DBMS
Secondary database modelsDocument store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.49
Rank#74  Overall
#13  Document stores
Score1.34
Rank#151  Overall
#28  Key-value stores
Websitecloud.google.com/­datastorewww.tarantool.iotitan.thinkaurelius.com
Technical documentationcloud.google.com/­datastore/­docswww.tarantool.io/­en/­docgithub.com/­thinkaurelius/­titan/­wiki
DeveloperGoogleMail.ru GroupAurelius, owned by DataStax
Initial release200820082012
Current release2.4.2, July 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen 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 systemshostedBSD
Linux
macOS
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyes, details herestring, double, decimal, uuid, integer, blob, booleanyes
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)Full-featured ANSI SQL supportno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Open binary protocolJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Clojure
Java
Python
Server-side scripts infoStored proceduresusing Google App EngineLua, C and SQL stored proceduresyes
TriggersCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingHash sharding based on virtual bucketsyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes 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 pathsyes, with SQLyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID, read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyes, regular snapshots on disk, write ahead loggingyes 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.noyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesUser authentification and security via Rexster Graph Server

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More resources
Google Cloud DatastoreTarantoolTitan
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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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

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