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DBMS > IRONdb vs. MarkLogic vs. OrigoDB vs. TimescaleDB

System Properties Comparison IRONdb vs. MarkLogic vs. OrigoDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMarkLogic  Xexclude from comparisonOrigoDB  Xexclude from comparisonTimescaleDB  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 simplicityOperational and transactional Enterprise NoSQL databaseA fully ACID in-memory object graph databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Object oriented DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.circonus.com/solutions/time-series-database/www.progress.com/­marklogicorigodb.comwww.timescale.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.progress.com/­marklogic/­documentationorigodb.com/­docsdocs.timescale.com
DeveloperCirconus LLC.MarkLogic Corp.Robert Friberg et alTimescale
Initial release201720012009 infounder the name LiveDB2017
Current releaseV0.10.20, January 201811.0, December 20222.15.0, May 2024
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen SourceOpen Source infoApache 2.0
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
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesUser defined using .NET types and collectionsnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyesno infocan be achieved using .NETyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yes infoSQL92noyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes, in Luayes infovia XQuery or JavaScriptyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesSource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyesno
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsRole based authorizationfine grained access rights according to SQL-standard

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More resources
IRONdbMarkLogicOrigoDBTimescaleDB
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