DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Spanner vs. GraphDB vs. TinkerGraph

System Properties Comparison Google Cloud Spanner vs. GraphDB vs. TinkerGraph

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSGraph DBMS
RDF store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.46
Rank#92  Overall
#48  Relational DBMS
Score2.86
Rank#103  Overall
#6  Graph DBMS
#3  RDF stores
Score0.12
Rank#306  Overall
#29  Graph DBMS
Websitecloud.google.com/­spannerwww.ontotext.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcloud.google.com/­spanner/­docsgraphdb.ontotext.com/­documentation
DeveloperGoogleOntotext
Initial release201720002009
Current release9.8, June 2021
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 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 languageJavaJava
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
TinkerPop 3
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Groovy
Java
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)none
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoConstraint checkingyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesno
Durability infoSupport for making data persistentyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.no
More information provided by the system vendor
Google Cloud SpannerGraphDB infoformer name: OWLIMTinkerGraph
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more

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 SpannerGraphDB infoformer name: OWLIMTinkerGraph
Recent citations in the news

Google Chat adds rich text formatting on the web, rolling out now
20 January 2022, 9to5Google

provided by Google News

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
11 September 2020, PRNewswire

GraphDB 9.8 Brings Text Mining and Kafka Connectivity
2 June 2021, PRNewswire

Ontotext and Synaptica join forces with a shared product roadmap to speed up the development of Enterprise Knowledge Graphs.
16 November 2020, PRNewswire

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

Ontotext Platform 3.4 Brings Better Search and Aggregation in Knowledge Graphs
15 April 2021, PRNewswire

provided by Google News

Job opportunities

Staff Software Engineer, Spanner, Google Cloud
Google, New York, NY

Google Cloud Spanner Database SME
NR Consulting LLC, Parsippany, NJ

Software Engineer III, Google Play
Google, Atlanta, GA

Managing Director, Product Activation, Google Cloud
Google, New York, NY

Cloud Engineer (Expert) - App & Platform Mgmt - IT - Cor
Bayer, St. Louis, MO

Knowledge Graph and Semantics SME
CAPCO, Remote

Project Management Senior Advisor - Taxonomy (USA Remote)
Dell Technologies, Texas

Graph Databases Infrastructure Manager
JPMorgan Chase Bank, N.A., Jersey City, NJ

jobs by Indeed



Share this page

Featured Products

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Neo4j logo

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

Vertica logo

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

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

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.

Present your product here