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DBMS > IRONdb vs. NCache vs. QuestDB vs. Trafodion

System Properties Comparison IRONdb vs. NCache vs. QuestDB vs. Trafodion

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonNCache  Xexclude from comparisonQuestDB  Xexclude from comparisonTrafodion  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOpen-Source and Enterprise in-memory Key-Value StoreA high performance open source SQL database for time series dataTransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#196  Overall
#29  Key-value stores
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitewww.circonus.com/solutions/time-series-database/www.alachisoft.com/­ncachequestdb.iotrafodion.apache.org
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.alachisoft.com/­resources/­docsquestdb.io/­docstrafodion.apache.org/­documentation.html
DeveloperCirconus LLC.AlachisoftQuestDB Technology IncApache Software Foundation, originally developed by HP
Initial release2017200520142014
Current releaseV0.10.20, January 20185.3.3, April 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availableOpen Source infoApache 2.0Open Source infoApache 2.0
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 and C++C#, .NET, .NET Core, JavaJava (Zero-GC), C++, RustC++, Java
Server operating systemsLinuxLinux
Windows
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramspartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL with time-series extensionsyes
APIs and other access methodsHTTP APIIDistributedCache
JCache
LINQ
Proprietary native API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes, in Luano infosupport for stored procedures with SQL-Server CLRnoJava Stored Procedures
Triggersnoyes infoNotificationsnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeyeshorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyes, with selectable consistency levelSource-replica replication with eventual consistencyyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped filesno
User concepts infoAccess controlnoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)fine grained access rights according to SQL-standard
More information provided by the system vendor
IRONdbNCacheQuestDBTrafodion
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more
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More resources
IRONdbNCacheQuestDBTrafodion
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