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DBMS > Amazon DocumentDB vs. BigObject vs. Graphite vs. Microsoft Access vs. NuoDB

System Properties Comparison Amazon DocumentDB vs. BigObject vs. Graphite vs. Microsoft Access vs. NuoDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBigObject  Xexclude from comparisonGraphite  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS for real-time computations and queriesData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)NuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelDocument storeRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Websiteaws.amazon.com/­documentdbbigobject.iogithub.com/­graphite-project/­graphite-webwww.microsoft.com/­en-us/­microsoft-365/­accesswww.3ds.com/­nuodb-distributed-sql-database
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.bigobject.iographite.readthedocs.iodeveloper.microsoft.com/­en-us/­accessdoc.nuodb.com
DeveloperBigObject, Inc.Chris DavisMicrosoftDassault Systèmes infooriginally NuoDB, Inc.
Initial release20192015200619922013
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache 2.0commercial infoBundled with Microsoft Officecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++C++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Unix
Windows infoNot a real database server, but making use of DLLshosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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.nononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes infobut not compliant to any SQL standardyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)fluentd
ODBC
RESTful HTTP API
HTTP API
Sockets
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoLuanoyes infosince Access 2010 using the ACE-engineJava, SQL
Triggersnononoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenonenonedata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnonenonenoneyes infoManaged transparently by NuoDB
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 ConsistencynonenoneImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoautomatically between fact table and dimension tablesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACID infobut no files for transaction loggingACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yes infolockingyesyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTemporary table
User concepts infoAccess controlAccess rights for users and rolesnonono infoa simple user-level security was built in till version Access 2003Standard SQL roles/ privileges, Administrative Users

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More resources
Amazon DocumentDBBigObjectGraphiteMicrosoft AccessNuoDB
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