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DBMS > Amazon Neptune vs. Apache Drill vs. JanusGraph vs. Microsoft Azure Data Explorer vs. Realm

System Properties Comparison Amazon Neptune vs. Apache Drill vs. JanusGraph vs. Microsoft Azure Data Explorer vs. Realm

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Drill  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully managed big data interactive analytics platformA 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
Document store
Relational DBMS
Graph DBMSRelational DBMS infocolumn orientedDocument store
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteaws.amazon.com/­neptunedrill.apache.orgjanusgraph.orgazure.microsoft.com/­services/­data-explorerrealm.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdrill.apache.org/­docsdocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­data-explorerrealm.io/­docs
DeveloperAmazonApache Software FoundationLinux Foundation; originally developed as Titan by AureliusMicrosoftRealm, acquired by MongoDB in May 2019
Initial release20172012201720192014
Current release1.20.3, January 20230.6.3, February 2023cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen 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 languageJava
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
hostedAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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.nononoyesno
Secondary indexesnonoyesall fields are automatically indexedyes
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantnoKusto Query Language (KQL), SQL subsetno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++Clojure
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnouser defined functionsyesYes, possible languages: KQL, Python, Rno inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding 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.yesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Faunus, a graph analytics engineSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restDepending on the underlying data sourceyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourceUser authentification and security via Rexster Graph ServerAzure Active Directory Authenticationyes

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Amazon NeptuneApache DrillJanusGraph infosuccessor of TitanMicrosoft Azure Data ExplorerRealm
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