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DBMS > Amazon DocumentDB vs. Brytlyt vs. Fujitsu Enterprise Postgres vs. LevelDB vs. OpenQM

System Properties Comparison Amazon DocumentDB vs. Brytlyt vs. Fujitsu Enterprise Postgres vs. LevelDB vs. OpenQM

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonLevelDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value storeMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websiteaws.amazon.com/­documentdbbrytlyt.iowww.postgresql.fastware.comgithub.com/­google/­leveldbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.brytlyt.iowww.postgresql.fastware.com/­product-manualsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperBrytlytPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleRocket Software, originally Martin Phillips
Initial release2019201620111993
Current release5.0, August 2023Fujitsu Enterprise Postgres 14, January 20221.23, February 20213.4-12
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSDOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDACC++
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
Illumos
Linux
OS X
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyesyesno
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.noyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyesyesnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLuser defined functionsnoyes
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationSource-replica replicationnoneyes
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoAccess rights can be defined down to the item level
More information provided by the system vendor
Amazon DocumentDBBrytlytFujitsu Enterprise PostgresLevelDBOpenQM infoalso called QM
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Amazon DocumentDBBrytlytFujitsu Enterprise PostgresLevelDBOpenQM infoalso called QM
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