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DBMS > FatDB vs. IRONdb vs. Kdb vs. VoltDB

System Properties Comparison FatDB vs. IRONdb vs. Kdb vs. VoltDB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonIRONdb  Xexclude from comparisonKdb  Xexclude from comparisonVoltDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityHigh performance Time Series DBMSDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Key-value store
Time Series DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/kx.comwww.voltdb.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedcode.kx.comdocs.voltdb.com
DeveloperFatCloudCirconus LLC.Kx Systems, a division of First Derivatives plcVoltDB Inc.
Initial release201220172000 infokdb was released 2000, kdb+ in 20032010
Current releaseV0.10.20, January 20183.6, May 201811.3, April 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree 32-bit versionOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C and C++qJava, C++
Server operating systemsWindowsLinuxLinux
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes
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.noyes
Secondary indexesyesnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (q)yes infoonly a subset of SQL 99
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infovia applicationsyes, in Luauser defined functionsJava
Triggersyes infovia applicationsnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter awareSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynonoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnorights management via user accountsUsers and roles with access to stored procedures
More information provided by the system vendor
FatDBIRONdbKdbVoltDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
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More resources
FatDBIRONdbKdbVoltDB
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