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DBMS > IRONdb vs. LeanXcale vs. NCache vs. Netezza

System Properties Comparison IRONdb vs. LeanXcale vs. NCache vs. Netezza

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonLeanXcale  Xexclude from comparisonNCache  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpen-Source and Enterprise in-memory Key-Value StoreData warehouse and analytics appliance part of IBM PureSystems
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/www.leanxcale.comwww.alachisoft.com/­ncachewww.ibm.com/­products/­netezza
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.alachisoft.com/­resources/­docs
DeveloperCirconus LLC.LeanXcaleAlachisoftIBM
Initial release2017201520052000
Current releaseV0.10.20, January 20185.3.3, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEnterprise Edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C#, .NET, .NET Core, Java
Server operating systemsLinuxLinux
Windows
Linux infoincluded in appliance
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramspartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yes infothrough Apache DerbySQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes
APIs and other access methodsHTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
IDistributedCache
JCache
LINQ
Proprietary native API
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
Java
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes, in Luano infosupport for stored procedures with SQL-Server CLRyes
Triggersnoyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyes, with selectable consistency levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking and pessimistic lockingACID
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
User concepts infoAccess controlnoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Users with fine-grained authorization concept
More information provided by the system vendor
IRONdbLeanXcaleNCacheNetezza infoAlso called PureData System for Analytics by IBM
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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IRONdbLeanXcaleNCacheNetezza infoAlso called PureData System for Analytics by IBM
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