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DBMS > atoti vs. DuckDB vs. FatDB

System Properties Comparison atoti vs. DuckDB vs. FatDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDuckDB  Xexclude from comparisonFatDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embeddable, in-process, column-oriented SQL OLAP RDBMSA .NET NoSQL DBMS that can integrate with and extend SQL Server.
Primary database modelObject oriented DBMSRelational DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#262  Overall
#14  Object oriented DBMS
Score0.23
Rank#282  Overall
#131  Relational DBMS
Websitewww.atoti.ioduckdb.org
Technical documentationduckdb.org/­docs
DeveloperActiveViamFatCloud
Initial release20182012
Current release0.2, August 2020
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#
Server operating systemsserver-lessWindows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesno infoVia inetgration in SQL Server
APIs and other access methodsCLI Client
JDBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Supported programming languagesC
C++
Go info3rd party driver
Java
Python
R
Ruby info3rd party driver
C#
Server-side scripts infoStored proceduresPythonnoyes infovia applications
Triggersnoyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnono infoCan implement custom security layer via applications

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atotiDuckDBFatDB
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