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DBMS > Amazon Neptune vs. IBM Db2 vs. InfluxDB vs. Microsoft Azure Data Explorer vs. Rockset

System Properties Comparison Amazon Neptune vs. IBM Db2 vs. InfluxDB vs. Microsoft Azure Data Explorer vs. Rockset

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudCommon in IBM host environments, 2 different versions for host and Windows/LinuxDBMS for storing time series, events and metricsFully managed big data interactive analytics platformA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelGraph DBMS
RDF store
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBTime Series DBMSRelational DBMS infocolumn orientedDocument store
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial DBMS infowith GEO packageDocument 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
Relational DBMS
Search 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
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websiteaws.amazon.com/­neptunewww.ibm.com/­products/­db2www.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­data-explorerrockset.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.ibm.com/­docs/­en/­db2docs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.rockset.com
DeveloperAmazonIBMMicrosoftRockset
Initial release20171983 infohost version201320192019
Current release12.1, October 20162.7.6, April 2024cloud service with continuous releases
License infoCommercial or Open Sourcecommercialcommercial infofree version is availableOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++GoC++
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X infothrough Homebrew
hostedhosted
Data schemeschema-freeyesschema-freeFixed schema with schema-less datatypes (dynamic)schema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesdynamic typing
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.nonoyesno infoingestion from XML files supported
Secondary indexesnoyesnoall fields are automatically indexedall fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-like query languageKusto Query Language (KQL), SQL subsetRead-only SQL queries, including JOINs
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
HTTP API
JSON over UDP
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesnoYes, possible languages: KQL, Python, Rno
Triggersnoyesnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoonly with Windows/Unix/Linux VersionSharding infoin enterprise version onlySharding infoImplicit feature of the cloud serviceAutomatic sharding
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 infowith separate tools (MQ, InfoSphere)selectable replication factor infoin enterprise version onlyyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yes infoDepending on used storage engineno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardsimple rights management via user accountsAzure Active Directory AuthenticationAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Amazon NeptuneIBM Db2 infoformerly named DB2 or IBM Database 2InfluxDBMicrosoft Azure Data ExplorerRockset
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
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