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DBMS > Graph Engine vs. Microsoft Azure Table Storage

System Properties Comparison Graph Engine vs. Microsoft Azure Table Storage

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Our visitors often compare Graph Engine and Microsoft Azure Table Storage with Microsoft SQL Server, Microsoft Azure Cosmos DB and Google BigQuery.

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelGraph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.88
Rank#187  Overall
#16  Graph DBMS
#31  Key-value stores
Score5.76
Rank#73  Overall
#5  Wide column stores
Websitewww.graphengine.ioazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwww.graphengine.io/­docs/­manual
DeveloperMicrosoftMicrosoft
Initial release20102012
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and C
Server operating systems.NEThosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesno
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights based on private key authentication or shared access signatures

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More resources
Graph Engine infoformer name: TrinityMicrosoft Azure Table Storage
Recent citations in the news

Open source Microsoft Graph Engine takes on Neo4j
13 February 2017, InfoWorld

Can Streaming Graphs Clean Up the Data Pipeline Mess?
28 March 2022, Datanami

Cutting-edge Katana Graph scores $28.5 million Series A Led by Intel Capital
24 February 2021, ZDNet

How Google and Microsoft taught search to “understand” the Web
6 June 2012, Ars Technica

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How to use Azure Table storage in .Net
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25 February 2022, InfoQ.com

How to write data to Azure Table Store with an Azure Function
14 April 2017, Experts Exchange

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14 October 2014, Visual Studio Magazine

Microsoft Announces Azure Chaos Studio in Public Preview
10 November 2021, InfoQ.com

provided by Google News

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