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DBMS > Google Cloud Spanner vs. GraphDB vs. Microsoft Azure Cosmos DB

System Properties Comparison Google Cloud Spanner vs. GraphDB vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  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 RDF and graph database with efficient reasoning, cluster and external index synchronization supportGlobally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.83
Rank#105  Overall
#52  Relational DBMS
Score2.09
Rank#125  Overall
#8  Graph DBMS
#5  RDF stores
Score32.01
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitecloud.google.com/­spannergraphdb.ontotext.comazure.microsoft.com/­services/­cosmos-db
Technical documentationcloud.google.com/­spanner/­docsgraphdb.ontotext.com/­documentationdocs.microsoft.com/­azure/­cosmos-db
DeveloperGoogleOntotextMicrosoft
Initial release201720002014
Current release8.8, January 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud serviceyesno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.yes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
hosted
Data schemeyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON types
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 indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SPARQL is used as query languageSQL-like query language
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
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoJava Server PluginJavaScript
TriggersnonoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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)yesAccess rights can be defined down to the item level
More information provided by the system vendor
Google Cloud SpannerGraphDB infoformer name: OWLIMMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google Cloud SpannerGraphDB infoformer name: OWLIMMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Conferences and events

Hands-on with the JDBC Driver in GraphDB: Bridging relational queries to the graph world
Webinar, 8:00 AM PDT / 11:00 AM EDT / 5:00 PM CEST, 17 September 2020 (finished)

From Strings to Things with the GraphDB 9.4 Mapping UI
Webinar, 5pm CEST / 11am EDT / 8am PDT, 6 October 2020 (finished)

Recent citations in the news

Google Updates Cloud Spanner with New Features: Backup on Demand, Local Emulator, and More
1 May 2020, InfoQ.com

NewSQL databases: The bridge between SQL and NoSQL
12 October 2020, TechTarget

Google enhances Cloud Spanner and other databases
20 August 2020, TechTarget

MariaDB adds distributed database capabilities to its SkySQL cloud service
20 October 2020, ZDNet

Google lays out HarbourBridge to tempt PostgreSQL users onto Cloud Spanner • DEVCLASS
13 February 2020, DevClass

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

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PRNewswire

Ontotext GraphDB Named Champion in Bloor's Graph Database Market Update
27 July 2020, PRNewswire

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
16 December 2019, PRNewswire

provided by Google News

Using Entity Framework Core with Azure SQL DB and Azure Cosmos DB | Azure Friday - Microsoft
23 October 2020, Channel 9

Global NoSQL Databases Software Market 2026 : MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc.
22 October 2020, The Think Curiouser

Global NoSQL Databases Software Market Top Manufacturers Analysis by 2026: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc.
20 October 2020, TechnoWeekly

Global NoSQL Databases Software Market 2026 Prominent Key Players Operating : MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc.
21 October 2020, The Think Curiouser

IMPACT OF COVID-19 on NoSQL Databases Software Market 2020 Growth of CAGR with Focusing Key players like – MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, etc
22 October 2020, PRnews Leader

provided by Google News

Job opportunities

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