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DBMS > Google Cloud Bigtable vs. RDFox vs. TDSQL for MySQL vs. Titan

System Properties Comparison Google Cloud Bigtable vs. RDFox vs. TDSQL for MySQL vs. Titan

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonRDFox  Xexclude from comparisonTDSQL for MySQL  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.
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.High performance knowledge graph and semantic reasoning engineA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value store
Wide column store
Graph DBMS
RDF store
Relational DBMSGraph DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitecloud.google.com/­bigtablewww.oxfordsemantic.techwww.tencentcloud.com/­products/­dcdbgithub.com/­thinkaurelius/­titan
Technical documentationcloud.google.com/­bigtable/­docsdocs.oxfordsemantic.techwww.tencentcloud.com/­document/­product/­1042github.com/­thinkaurelius/­titan/­wiki
DeveloperGoogleOxford Semantic TechnologiesTencentAurelius, owned by DataStax
Initial release2015201720132012
Current release6.0, Septermber 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedLinux
macOS
Windows
hostedLinux
OS X
Unix
Windows
Data schemeschema-freeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API
SPARQL 1.1
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
C
C#
C++
Java
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesreplication via a shared file systemMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Roles, resources, and access typesUsers with fine-grained authorization conceptUser authentification and security via Rexster Graph Server

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More resources
Google Cloud BigtableRDFoxTDSQL for MySQLTitan
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