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DBMS > BigObject vs. FatDB vs. Ignite vs. Microsoft Access vs. NuoDB

System Properties Comparison BigObject vs. FatDB vs. Ignite vs. Microsoft Access vs. NuoDB

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFatDB  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNuoDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAnalytic DBMS for real-time computations and queriesA .NET NoSQL DBMS that can integrate with and extend SQL Server.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.Microsoft 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 modelRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Key-value store
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websitebigobject.ioignite.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdocs.bigobject.ioapacheignite.readme.io/­docsdeveloper.microsoft.com/­en-us/­accessdoc.nuodb.com
DeveloperBigObject, Inc.FatCloudApache Software FoundationMicrosoftDassault Systèmes infooriginally NuoDB, Inc.
Initial release20152012201519922013
Current releaseApache Ignite 2.61902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft Officecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++, Java, .NetC++C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
WindowsLinux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLshosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno infoVia inetgration in SQL ServerANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standardyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesC#C#
C++
Java
PHP
Python
Ruby
Scala
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 proceduresLuayes infovia applicationsyes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-engineJava, SQL
Triggersnoyes infovia applicationsyes (cache interceptors and events)yes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonedata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes (replicated cache)noneyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infobut no files for transaction loggingACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes 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.yesyesyes infoTemporary table
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsSecurity Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003Standard SQL roles/ privileges, Administrative Users

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More resources
BigObjectFatDBIgniteMicrosoft AccessNuoDB
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