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DBMS > IRONdb vs. Kinetica vs. Microsoft Access vs. RavenDB

System Properties Comparison IRONdb vs. Kinetica vs. Microsoft Access vs. RavenDB

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRavenDB  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 simplicityFully vectorized database across both GPUs and CPUsMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.circonus.com/solutions/time-series-database/www.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accessravendb.net
Technical documentationdocs.circonus.com/irondb/category/getting-starteddocs.kinetica.comdeveloper.microsoft.com/­en-us/­accessravendb.net/­docs
DeveloperCirconus LLC.KineticaMicrosoftHibernating Rhinos
Initial release2017201219922010
Current releaseV0.10.20, January 20187.1, August 20211902 (16.0.11328.20222), March 20195.4, July 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoAGPL version 3, commercial license available
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, C++C++C#
Server operating systemsLinuxLinuxWindows infoNot a real database server, but making use of DLLsLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesno
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 indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsyes infobut not compliant to any SQL standardSQL-like query language (RQL)
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
.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 languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, in Luauser defined functionsyes infosince Access 2010 using the ACE-engineyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configurationDefault 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 integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003Authorization levels configured per client per database

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More resources
IRONdbKineticaMicrosoft AccessRavenDB
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