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DBMS > Drizzle vs. FatDB vs. IBM Cloudant vs. TimescaleDB vs. YottaDB

System Properties Comparison Drizzle vs. FatDB vs. IBM Cloudant vs. TimescaleDB vs. YottaDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFatDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYottaDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Database as a Service offering based on Apache CouchDBA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA fast and solid embedded Key-value store
Primary database modelRelational DBMSDocument store
Key-value store
Document storeTime Series DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.ibm.com/­products/­cloudantwww.timescale.comyottadb.com
Technical documentationcloud.ibm.com/­docs/­Cloudantdocs.timescale.comyottadb.com/­resources/­documentation
DeveloperDrizzle project, originally started by Brian AkerFatCloudIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014TimescaleYottaDB, LLC
Initial release20082012201020172001
Current release7.2.4, September 20122.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#ErlangCC
Server operating systemsFreeBSD
Linux
OS X
WindowshostedLinux
OS X
Windows
Docker
Linux
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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 indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsno infoVia inetgration in SQL Servernoyes infofull PostgreSQL SQL syntaxby using the Octo plugin
APIs and other access methodsJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C++
Java
PHP
C#C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyes infovia applicationsView functions (Map-Reduce) in JavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersno infohooks for callbacks inside the server can be used.yes infovia applicationsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas infoyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a document possibleACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoCan implement custom security layer via applicationsAccess rights for users can be defined per databasefine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
DrizzleFatDBIBM CloudantTimescaleDBYottaDB
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