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DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. InterSystems IRIS vs. Postgres-XL vs. Qdrant

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. InterSystems IRIS vs. Postgres-XL vs. Qdrant

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQdrant  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high-performance vector database with neural network or semantic-based matching
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.intersystems.com/­products/­intersystems-iriswww.postgres-xl.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.postgres-xl.org/­documentationqdrant.tech/­documentation
DeveloperAmazonAtos Convergence CreatorsInterSystemsQdrant
Initial release2017201620182014 infosince 2012, originally named StormDB2021
Current release17032023.3, June 202310 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMozilla public licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCRust
Server operating systemshostedLinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Docker
Linux
macOS
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsdepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesNumbers, Strings, Geo, Boolean
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.noyesyesyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnonoyesyes infodistributed, parallel query executionno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindings.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnonoyesuser defined functions
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardinghorizontal partitioningSharding
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.yesSource-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID infoMVCC
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.yesyesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationyesfine grained access rights according to SQL-standardKey-based authentication
More information provided by the system vendor
Amazon NeptuneAtos Standard Common RepositoryInterSystems IRISPostgres-XLQdrant
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Amazon NeptuneAtos Standard Common RepositoryInterSystems IRISPostgres-XLQdrant
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