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DBMS > Amazon Neptune vs. IRONdb vs. MarkLogic vs. Microsoft Azure Table Storage vs. Realm

System Properties Comparison Amazon Neptune vs. IRONdb vs. MarkLogic vs. Microsoft Azure Table Storage vs. Realm

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonIRONdb  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRealm  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOperational and transactional Enterprise NoSQL databaseA Wide Column Store for rapid development using massive semi-structured datasetsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelGraph DBMS
RDF store
Time Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Wide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score4.48
Rank#75  Overall
#6  Wide column stores
Score7.60
Rank#52  Overall
#9  Document stores
Websiteaws.amazon.com/­neptunewww.circonus.com/solutions/time-series-database/www.marklogic.comazure.microsoft.com/­en-us/­services/­storage/­tablesrealm.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.circonus.com/irondb/category/getting-starteddocs.marklogic.comrealm.io/­docs
DeveloperAmazonCirconus LLC.MarkLogic Corp.MicrosoftRealm, acquired by MongoDB in May 2019
Initial release20172017200120122014
Current releaseV0.10.20, January 201811.0, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemshostedLinuxLinux
OS X
Windows
hostedAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesyes
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
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)yes infoSQL92nono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoyes, in Luayes infovia XQuery or JavaScriptnono inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyesnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodeShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.configurable replication factor, datacenter awareyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesnoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noRole-based access control at the document and subdocument levelsAccess rights based on private key authentication or shared access signaturesyes

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More resources
Amazon NeptuneIRONdbMarkLogicMicrosoft Azure Table StorageRealm
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