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DBMS > atoti vs. Dgraph vs. Microsoft Azure SQL Database vs. Prometheus

System Properties Comparison atoti vs. Dgraph vs. Microsoft Azure SQL Database vs. Prometheus

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDgraph  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Distributed and scalable native Graph DBMSDatabase as a Service offering with high compatibility to Microsoft SQL ServerOpen-source Time Series DBMS and monitoring system
Primary database modelObject oriented DBMSGraph DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websiteatoti.iodgraph.ioazure.microsoft.com/­en-us/­products/­azure-sql/­databaseprometheus.io
Technical documentationdocs.atoti.iodgraph.io/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlprometheus.io/­docs
DeveloperActiveViamDgraph Labs, Inc.Microsoft
Initial release201620102015
Current releaseV12
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++Go
Server operating systemsLinux
OS X
Windows
hostedLinux
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data only
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.noyesno infoImport of XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresPythonnoTransact SQLno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes, with always 3 replicas availableyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesno
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardno

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More resources
atotiDgraphMicrosoft Azure SQL Database infoformerly SQL AzurePrometheus
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