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DBMS > EXASOL vs. IRONdb

System Properties Comparison EXASOL vs. IRONdb

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonIRONdb  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.13
Rank#96  Overall
#48  Relational DBMS
Score0.00
Rank#334  Overall
#31  Time Series DBMS
Websitewww.exasol.comwww.circonus.com/­solutions/­time-series-database
Technical documentationwww.exasol.com/­resourcesdocs.circonus.com/­irondb
DeveloperExasolCirconus LLC.
Initial release20002017
Current releaseV0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemsLinux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histograms
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 indexesyesno
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP API
Supported programming languagesJava
Lua
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsyes, in Lua
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardno

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More resources
EXASOLIRONdb
Recent citations in the news

Pharmascience to use Exasol database to improve reporting | Medical Devices & Pharma - Healthcare Global
16 February 2021, Healthcare News, Magazine and Website

Exasol Rated Best-in-Class Across 10 Measures in Dresner's ADI Report 2021
9 February 2021, Business Wire

A day in the life of… Deborah Thomas, CCO of analytics database firm Exasol
18 February 2021, Econsultancy

Exasol AG: Trading update for 2020 and outlook for 2021
23 February 2021, Yahoo Eurosport UK

In-memory OLAP Database Market, Top key players are- Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox, Kognitio, Mcobject, MemSQL, MicroStrategy, SAS Institute, Teradata, Terracotta, VoltDB – NeighborWebSJ
10 February 2021, NeighborWebSJ

provided by Google News

Circonus Announces Availability of Spring 2020 Release
21 April 2020, PRNewswire

Database Heterogeneity Helps Address IoT Analytics Challenges
22 September 2020, IoT World Today

On the Radar: COVID-19, Circonus, and Fake FB Accounts
4 March 2020, Datanami

provided by Google News

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