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DBMS > Amazon DocumentDB vs. Datomic vs. Newts vs. PostgreSQL vs. SAP HANA

System Properties Comparison Amazon DocumentDB vs. Datomic vs. Newts vs. PostgreSQL vs. SAP HANA

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatomic  Xexclude from comparisonNewts  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityTime Series DBMS based on CassandraWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLIn-memory, column based data store. Available as appliance or cloud service
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.datomic.comopennms.github.io/­newtswww.postgresql.orgwww.sap.com/­products/­hana.html
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.datomic.comgithub.com/­OpenNMS/­newts/­wikiwww.postgresql.org/­docshelp.sap.com/­hana
DeveloperCognitectOpenNMS GroupPostgreSQL Global Development Group infowww.postgresql.org/­developerSAP
Initial release2019201220141989 info1989: Postgres, 1996: PostgreSQL2010
Current release1.0.7075, December 202316.3, May 20242.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Appliance or cloud-service
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnononoyes infostandard with numerous extensionsyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIHTTP REST
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
Java
Java.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.SQLScript, R
TriggersnoBy using transaction functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersSharding infobased on Cassandrapartitioning by range, list and (since PostgreSQL 11) by hashyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnone infoBut extensive use of caching in the application peersselectable replication factor infobased on CassandraSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual 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 operationsACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnonoyes
User concepts infoAccess controlAccess rights for users and rolesnonofine grained access rights according to SQL-standardyes

More information provided by the system vendor

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More resources
Amazon DocumentDBDatomicNewtsPostgreSQLSAP HANA
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