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DBMS > Graph Engine vs. Microsoft Azure Table Storage vs. OrigoDB vs. Pinecone

System Properties Comparison Graph Engine vs. Microsoft Azure Table Storage vs. OrigoDB vs. Pinecone

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOrigoDB  Xexclude from comparisonPinecone  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 datasetsA fully ACID in-memory object graph databaseA managed, cloud-native vector database
Primary database modelGraph DBMS
Key-value store
Wide column storeDocument store
Object oriented DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitewww.graphengine.ioazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.comwww.pinecone.io
Technical documentationwww.graphengine.io/­docs/­manualorigodb.com/­docsdocs.pinecone.io/­docs/­overview
DeveloperMicrosoftMicrosoftRobert Friberg et alPinecone Systems, Inc
Initial release201020122009 infounder the name LiveDB2019
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC#
Server operating systems.NEThostedLinux
Windows
hosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsString, Number, Boolean
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.nonono infocan be achieved using .NETno
Secondary indexesnoyes
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIRESTful HTTP API.NET Client API
HTTP API
LINQ
RESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetPython
Server-side scripts infoStored proceduresyesnoyes
Triggersnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 storageyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesRole based authorization

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More resources
Graph Engine infoformer name: TrinityMicrosoft Azure Table StorageOrigoDBPinecone
DB-Engines blog posts

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