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DBMS > EXASOL vs. IRONdb vs. NSDb vs. RavenDB

System Properties Comparison EXASOL vs. IRONdb vs. NSDb vs. RavenDB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonIRONdb  Xexclude from comparisonNSDb  Xexclude from comparisonRavenDB  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 simplicityScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.exasol.comwww.circonus.com/solutions/time-series-database/nsdb.ioravendb.net
Technical documentationwww.exasol.com/­resourcesdocs.circonus.com/irondb/category/getting-startednsdb.io/­Architectureravendb.net/­docs
DeveloperExasolCirconus LLC.Hibernating Rhinos
Initial release2000201720172010
Current releaseV0.10.20, January 20185.4, July 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license available
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++Java, ScalaC#
Server operating systemsLinuxLinux
macOS
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyes: int, bigint, decimal, stringno
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 indexesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query languageSQL-like query language (RQL)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP APIgRPC
HTTP REST
WebSocket
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful 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
Java
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes, in Luanoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
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-standardnoAuthorization levels configured per client per database

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More resources
EXASOLIRONdbNSDbRavenDB
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