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DBMS > FeatureBase vs. Graph Engine vs. Microsoft Azure SQL Database vs. NSDb vs. OrigoDB

System Properties Comparison FeatureBase vs. Graph Engine vs. Microsoft Azure SQL Database vs. NSDb vs. OrigoDB

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph database
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitewww.featurebase.comwww.graphengine.ioazure.microsoft.com/­en-us/­products/­azure-sql/­databasensdb.ioorigodb.com
Technical documentationdocs.featurebase.comwww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­azure-sqlnsdb.io/­Architectureorigodb.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsMicrosoftMicrosoftRobert Friberg et al
Initial release20172010201020172009 infounder the name LiveDB
Current release2022, May 2022V12
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2.0Open Source
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 languageGo.NET and CC++Java, ScalaC#
Server operating systemsLinux
macOS
.NEThostedLinux
macOS
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL queriesnoyesSQL-like query languageno
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
Supported programming languagesJava
Python
C#
C++
F#
Visual Basic
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
.Net
Server-side scripts infoStored proceduresyesTransact SQLnoyes
Triggersnonoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesUsing Apache Luceneyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorization

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More resources
FeatureBaseGraph Engine infoformer name: TrinityMicrosoft Azure SQL Database infoformerly SQL AzureNSDbOrigoDB
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