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DBMS > Microsoft Azure Synapse Analytics vs. OpenQM vs. Oracle Berkeley DB vs. Percona Server for MongoDB

System Properties Comparison Microsoft Azure Synapse Analytics vs. OpenQM vs. Oracle Berkeley DB vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerQpenQM is a high-performance, self-tuning, multi-value DBMSWidely used in-process key-value storeA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSMultivalue DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websiteazure.microsoft.com/­services/­synapse-analyticswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperMicrosoftRocket Software, originally Martin PhillipsOracle infooriginally developed by Sleepycat, which was acquired by OraclePercona
Initial release2016199319942015
Current release3.4-1218.1.40, May 20203.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infocommercial license availableOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemshostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesyes infowith some exceptionsschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes
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.noyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesC#
Java
PHP
.Net
Basic
C
Java
Objective C
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresTransact SQLyesnoJavaScript
Triggersnoyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engine
User concepts infoAccess controlyesAccess rights can be defined down to the item levelnoAccess rights for users and roles

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenQM infoalso called QMOracle Berkeley DBPercona Server for MongoDB
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