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DBMS > Amazon DocumentDB vs. FatDB vs. IBM Db2 Event Store vs. NuoDB vs. Quasardb

System Properties Comparison Amazon DocumentDB vs. FatDB vs. IBM Db2 Event Store vs. NuoDB vs. Quasardb

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFatDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNuoDB  Xexclude from comparisonQuasardb  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA .NET NoSQL DBMS that can integrate with and extend SQL Server.Distributed Event Store optimized for Internet of Things use casesNuoDB is a webscale distributed database that supports SQL and ACID transactionsDistributed, high-performance timeseries database
Primary database modelDocument storeDocument store
Key-value store
Event Store
Time Series DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.ibm.com/­products/­db2-event-storewww.3ds.com/­nuodb-distributed-sql-databasequasar.ai
Technical documentationaws.amazon.com/­documentdb/­resourceswww.ibm.com/­docs/­en/­db2-event-storedoc.nuodb.comdoc.quasar.ai/­master
DeveloperFatCloudIBMDassault Systèmes infooriginally NuoDB, Inc.quasardb
Initial release20192012201720132009
Current release2.03.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availablecommercial infolimited edition freecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C and C++C++C++
Server operating systemshostedWindowsLinux infoLinux, macOS, Windows for the developer additionhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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 infowith tags
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryes infothrough the embedded Spark runtimeyesSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infovia applicationsyesJava, SQLno
Triggersnoyes infovia applicationsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factorActive-active shard replicationyes infoManaged transparently by NuoDBSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes infoMVCCyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTemporary tableyes infoTransient mode
User concepts infoAccess controlAccess rights for users and rolesno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative UsersCryptographically strong user authentication and audit trail

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More resources
Amazon DocumentDBFatDBIBM Db2 Event StoreNuoDBQuasardb
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