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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. Hawkular Metrics vs. HyperSQL vs. InterSystems IRIS

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. Hawkular Metrics vs. HyperSQL vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelDocument storeDocument store
Key-value store
Time Series DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.hawkular.orghsqldb.orgwww.intersystems.com/­products/­intersystems-iris
Technical documentationaws.amazon.com/­documentdb/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidehsqldb.org/­web/­hsqlDocsFrame.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperAtos Convergence CreatorsCommunity supported by Red HatInterSystems
Initial release20192016201420012018
Current release17032.7.2, June 20232023.3, June 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infobased on BSD licensecommercial
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 languageJavaJavaJava
Server operating systemshostedLinuxLinux
OS X
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
Linux
macOS
Ubuntu
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesnonoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPHTTP RESTHTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsGo
Java
Python
Ruby
All languages supporting JDBC/ODBC
Java
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononoJava, SQLyes
Triggersnoyesyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesselectable replication factor infobased on CassandranoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationnofine grained access rights according to SQL-standardyes
More information provided by the system vendor
Amazon DocumentDBAtos Standard Common RepositoryHawkular MetricsHyperSQL infoalso known as HSQLDBInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Amazon DocumentDBAtos Standard Common RepositoryHawkular MetricsHyperSQL infoalso known as HSQLDBInterSystems IRIS
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