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DBMS > Amazon Neptune vs. Brytlyt vs. InterSystems IRIS vs. OpenQM vs. StarRocks

System Properties Comparison Amazon Neptune vs. Brytlyt vs. InterSystems IRIS vs. OpenQM vs. StarRocks

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBrytlyt  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityQpenQM is a high-performance, self-tuning, multi-value DBMSAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Multivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websiteaws.amazon.com/­neptunebrytlyt.iowww.intersystems.com/­products/­intersystems-iriswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.starrocks.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.brytlyt.iodocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperAmazonBrytlytInterSystemsRocket Software, originally Martin PhillipsThe Linux Foundation infosince Feb 2023
Initial release20172016201819932020
Current release5.0, August 20232023.3, June 20233.4-122.5.3, March 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++, Java
Server operating systemshostedLinux
OS X
Windows
AIX
Linux
macOS
Ubuntu
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeschema-freeyesdepending on used data modelyes infowith some exceptionsyes
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.noyes infospecific XML-type available, but no XML query functionality.yesyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyesnoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
JDBC
MySQL protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Java
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesyesuser defined functions
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyeshorizontal partitioning (by range and hash)
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.Source-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
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.yesno
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-standardyesAccess rights can be defined down to the item levelRole based access control and fine grained access rights
More information provided by the system vendor
Amazon NeptuneBrytlytInterSystems IRISOpenQM infoalso called QMStarRocks
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Amazon NeptuneBrytlytInterSystems IRISOpenQM infoalso called QMStarRocks
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