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DBMS > IRONdb vs. Microsoft Azure Table Storage vs. OpenQM vs. TypeDB vs. VictoriaMetrics

System Properties Comparison IRONdb vs. Microsoft Azure Table Storage vs. OpenQM vs. TypeDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonVictoriaMetrics  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 simplicityA Wide Column Store for rapid development using massive semi-structured datasetsQpenQM is a high-performance, self-tuning, multi-value DBMSTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSWide column storeMultivalue DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.circonus.com/solutions/time-series-database/azure.microsoft.com/­en-us/­services/­storage/­tableswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmtypedb.comvictoriametrics.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedtypedb.com/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCirconus LLC.MicrosoftRocket Software, originally Martin PhillipsVaticleVictoriaMetrics
Initial release20172012199320162018
Current releaseV0.10.20, January 20183.4-122.26.3, January 2024v1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaGo
Server operating systemsLinuxhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyes
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.nonoyesnono
Secondary indexesnonoyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nononono
APIs and other access methodsHTTP APIRESTful HTTP APIgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes, in Luanoyesnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud serviceyesSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesMulti-source replication infoby using CassandraSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesAccess rights can be defined down to the item levelyes infoat REST API level; other APIs in progress
More information provided by the system vendor
IRONdbMicrosoft Azure Table StorageOpenQM infoalso called QMTypeDB infoformerly named GraknVictoriaMetrics
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
IRONdbMicrosoft Azure Table StorageOpenQM infoalso called QMTypeDB infoformerly named GraknVictoriaMetrics
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