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DBMS > Amazon DocumentDB vs. openGauss vs. Oracle Berkeley DB vs. VelocityDB

System Properties Comparison Amazon DocumentDB vs. openGauss vs. Oracle Berkeley DB vs. VelocityDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonopenGauss  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiWidely used in-process key-value storeA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteaws.amazon.com/­documentdbgitee.com/­opengauss
opengauss.org
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlvelocitydb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.oracle.com/­cd/­E17076_05/­html/­index.htmlvelocitydb.com/­UserGuide
DeveloperHuawei and openGauss communityOracle infooriginally developed by Sleepycat, which was acquired by OracleVelocityDB Inc
Initial release2019201919942011
Current release3.0, March 202218.1.40, May 20207.x
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systemshostedLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Any that supports .NET
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoANSI SQL 2011yes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
.Net
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C++
Java
.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
.Net
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesyes infoonly for the SQL APICallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash)noneSharding
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 replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
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.noyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardnoBased on Windows Authentication

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More resources
Amazon DocumentDBopenGaussOracle Berkeley DBVelocityDB
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