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DBMS > Dgraph vs. Google Cloud Datastore vs. Microsoft Azure Synapse Analytics vs. Prometheus vs. TinkerGraph

System Properties Comparison Dgraph vs. Google Cloud Datastore vs. Microsoft Azure Synapse Analytics vs. Prometheus vs. TinkerGraph

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPrometheus  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen-source Time Series DBMS and monitoring systemA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelGraph DBMSDocument storeRelational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitedgraph.iocloud.google.com/­datastoreazure.microsoft.com/­services/­synapse-analyticsprometheus.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdgraph.io/­docscloud.google.com/­datastore/­docsdocs.microsoft.com/­azure/­synapse-analyticsprometheus.io/­docs
DeveloperDgraph Labs, Inc.GoogleMicrosoft
Initial release20162008201620152009
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++GoJava
Server operating systemsLinux
OS X
Windows
hostedhostedLinux
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesNumeric data onlyyes
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.nononono infoImport of XML data possibleno
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnoSQL-like query language (GQL)yesnono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
RESTful HTTP/JSON APITinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresnousing Google App EngineTransact SQLnono
TriggersnoCallbacks using the Google Apps Enginenonono
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication using Paxosyesyes infoby Federationnone
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 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 Consistencynonenone
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
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)yesnono

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More resources
DgraphGoogle Cloud DatastoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePrometheusTinkerGraph
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