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DBMS > Dgraph vs. eXtremeDB vs. Microsoft Azure Synapse Analytics vs. Prometheus vs. TinkerGraph

System Properties Comparison Dgraph vs. eXtremeDB vs. Microsoft Azure Synapse Analytics vs. Prometheus vs. TinkerGraph

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisoneXtremeDB  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 DBMSNatively in-memory DBMS with options for persistency, high-availability and clusteringElastic, 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 DBMSRelational DBMS
Time Series DBMS
Relational 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
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
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.iowww.mcobject.comazure.microsoft.com/­services/­synapse-analyticsprometheus.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdgraph.io/­docswww.mcobject.com/­docs/­extremedb.htmdocs.microsoft.com/­azure/­synapse-analyticsprometheus.io/­docs
DeveloperDgraph Labs, Inc.McObjectMicrosoft
Initial release20162001201620152009
Current release8.2, 2021
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 servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C++GoJava
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric 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.nono infosupport of XML interfaces availablenono infoImport of XML data possibleno
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLyesnono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP/JSON APITinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
Java
PHP
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresnoyesTransact SQLnono
Triggersnoyes infoby defining eventsnonono
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning / shardingSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yesyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynonenone
Foreign keys infoReferential integritynoyesno 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 dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesno
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.yesnoyes
User concepts infoAccess controlno infoPlanned for future releasesyesnono
More information provided by the system vendor
DgrapheXtremeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePrometheusTinkerGraph
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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DgrapheXtremeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePrometheusTinkerGraph
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