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DBMS > Amazon DocumentDB vs. GBase vs. Ignite vs. PostgreSQL vs. SQream DB

System Properties Comparison Amazon DocumentDB vs. GBase vs. Ignite vs. PostgreSQL vs. SQream DB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGBase  Xexclude from comparisonIgnite  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
Relational 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.gbase.cnignite.apache.orgwww.postgresql.orgsqream.com
Technical documentationaws.amazon.com/­documentdb/­resourcesapacheignite.readme.io/­docswww.postgresql.org/­docsdocs.sqream.com
DeveloperGeneral Data Technology Co., Ltd.Apache Software FoundationPostgreSQL Global Development Group infowww.postgresql.org/­developerSQream Technologies
Initial release2019200420151989 info1989: Postgres, 1996: PostgreSQL2017
Current releaseGBase 8a, GBase 8s, GBase 8cApache Ignite 2.616.3, May 20242022.1.6, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++, Java, .NetCC++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, ANSI Standard SQL Types
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 infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLyes infostandard with numerous extensionsyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions in Python
Triggersnoyesyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingpartitioning by range, list and (since PostgreSQL 11) by hashhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes (replicated cache)Source-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDACID
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.yesno
User concepts infoAccess controlAccess rights for users and rolesyesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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