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DBMS > Amazon DocumentDB vs. HyperSQL vs. PostgreSQL vs. Qdrant vs. Realm

System Properties Comparison Amazon DocumentDB vs. HyperSQL vs. PostgreSQL vs. Qdrant vs. Realm

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQdrant  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA high-performance vector database with neural network or semantic-based matchingA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Vector DBMSDocument store
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteaws.amazon.com/­documentdbhsqldb.orgwww.postgresql.orggithub.com/­qdrant/­qdrant
qdrant.tech
realm.io
Technical documentationaws.amazon.com/­documentdb/­resourceshsqldb.org/­web/­hsqlDocsFrame.htmlwww.postgresql.org/­docsqdrant.tech/­documentationrealm.io/­docs
DeveloperPostgreSQL Global Development Group infowww.postgresql.org/­developerQdrantRealm, acquired by MongoDB in May 2019
Initial release201920011989 info1989: Postgres, 1996: PostgreSQL20212014
Current release2.7.2, June 202316.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licenseOpen Source infoBSDOpen Source infoApache Version 2.0Open Source
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.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageJavaCRust
Server operating systemshostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Docker
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Booleanyes
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.nonoyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP API infoJDBC via HTTP
JDBC
ODBC
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 languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoJava, SQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no inforuns within the applications so server-side scripts are unnecessary
Triggersnoyesyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnonenonepartitioning by range, list and (since PostgreSQL 11) by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneSource-replica replication infoother methods possible by using 3rd party extensionsCollection-level replicationnone
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 ConsistencyImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardKey-based authenticationyes

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More resources
Amazon DocumentDBHyperSQL infoalso known as HSQLDBPostgreSQLQdrantRealm
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