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DBMS > Dgraph vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. Pinecone vs. TimesTen

System Properties Comparison Dgraph vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. Pinecone vs. TimesTen

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPinecone  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA 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.Database as a Service offering with high compatibility to Microsoft SQL ServerA managed, cloud-native vector databaseIn-Memory RDBMS compatible to Oracle
Primary database modelGraph DBMSRelational DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitedgraph.iocloud.google.com/­spannerazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.pinecone.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdgraph.io/­docscloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.pinecone.io/­docs/­overviewdocs.oracle.com/­database/­timesten-18.1
DeveloperDgraph Labs, Inc.GoogleMicrosoftPinecone Systems, IncOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20162017201020191998
Current releaseV1211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsLinux
OS X
Windows
hostedhostedhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesString, Number, 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.nonoyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011yesnoyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
PythonC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoTransact SQLPL/SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication with 3 replicas for regional instances.yes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DgraphGoogle Cloud SpannerMicrosoft Azure SQL Database infoformerly SQL AzurePineconeTimesTen
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Dgraph on AWS: Setting up a horizontally scalable graph database
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