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DBMS > EXASOL vs. IRONdb vs. Kyligence Enterprise vs. ReductStore

System Properties Comparison EXASOL vs. IRONdb vs. Kyligence Enterprise vs. ReductStore

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonIRONdb  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonReductStore  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 simplicityA distributed analytics engine for big data, built on top of Apache KylinDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitewww.exasol.comwww.circonus.com/solutions/time-series-database/kyligence.io/­kyligence-enterprisegithub.com/­reductstore
www.reduct.store
Technical documentationwww.exasol.com/­resourcesdocs.circonus.com/irondb/category/getting-startedwww.reduct.store/­docs
DeveloperExasolCirconus LLC.Kyligence, Inc.ReductStore LLC
Initial release2000201720162023
Current releaseV0.10.20, January 20181.9, March 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBusiness Source License 1.1
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++JavaC++, Rust
Server operating systemsLinuxLinuxDocker
Linux
macOS
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)ANSI SQL for queries (using Apache Calcite)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP APIJDBC
ODBC
RESTful HTTP API
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
C++
JavaScript (Node.js)
Python
Rust
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 integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardno

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More resources
EXASOLIRONdbKyligence EnterpriseReductStore
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