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DBMS > Microsoft Azure Table Storage vs. Neo4j vs. SiteWhere vs. TerminusDB

System Properties Comparison Microsoft Azure Table Storage vs. Neo4j vs. SiteWhere vs. TerminusDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonNeo4j  Xexclude from comparisonSiteWhere  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsM2M integration platform for persisting/querying time series dataScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelWide column storeGraph DBMSTime Series DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesneo4j.comgithub.com/­sitewhere/­sitewhereterminusdb.com
Technical documentationneo4j.com/­docssitewhere1.sitewhere.io/­index.htmlterminusdb.github.io/­terminusdb/­#
DeveloperMicrosoftNeo4j, Inc.SiteWhereDataChemist Ltd.
Initial release2012200720102018
Current release5.20, May 202411.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoCommon Public Attribution License Version 1.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ScalaJavaProlog, Rust
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-free and schema-optionalpredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesnoyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLnononoSQL-like query language (WOQL)
APIs and other access methodsRESTful HTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP RESTOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsyes
Triggersnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes using Neo4j FabricSharding infobased on HBaseGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infobased on HBaseJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users with fine-grained authorization conceptRole-based access control
More information provided by the system vendor
Microsoft Azure Table StorageNeo4jSiteWhereTerminusDB infoformer name was DataChemist
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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