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DBMS > Amazon Neptune vs. Microsoft Azure Table Storage vs. Prometheus vs. Realm vs. Typesense

System Properties Comparison Amazon Neptune vs. Microsoft Azure Table Storage vs. Prometheus vs. Realm vs. Typesense

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPrometheus  Xexclude from comparisonRealm  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA Wide Column Store for rapid development using massive semi-structured datasetsOpen-source Time Series DBMS and monitoring systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelGraph DBMS
RDF store
Wide column storeTime Series DBMSDocument storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.79
Rank#210  Overall
#14  Search engines
Websiteaws.amazon.com/­neptuneazure.microsoft.com/­en-us/­services/­storage/­tablesprometheus.iorealm.iotypesense.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesprometheus.io/­docsrealm.io/­docstypesense.org/­docs
DeveloperAmazonMicrosoftRealm, acquired by MongoDB in May 2019
Initial release20172012201520142015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemshostedhostedLinux
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemeschema-freeschema-freeyesyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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 infoImport of XML data possibleno
Secondary indexesnononoyesyes
SQL infoSupport of SQLnonononono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIRESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnononono inforuns within the applications so server-side scripts are unnecessaryno
Triggersnononoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingnone
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.yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoby FederationnoneMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnoACIDno
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.nonoyes infoIn-Memory realmyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights based on private key authentication or shared access signaturesnoyes

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Amazon NeptuneMicrosoft Azure Table StoragePrometheusRealmTypesense
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