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DBMS > IRONdb vs. Microsoft Azure Synapse Analytics vs. TypeDB vs. VictoriaMetrics

System Properties Comparison IRONdb vs. Microsoft Azure Synapse Analytics vs. TypeDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 simplicityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSRelational DBMSGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websitewww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­synapse-analyticstypedb.comvictoriametrics.com
Technical documentationdocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­azure/­synapse-analyticstypedb.com/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCirconus LLC.MicrosoftVaticleVictoriaMetrics
Initial release2017201620162018
Current releaseV0.10.20, January 20182.28.3, June 2024v1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++JavaGo
Server operating systemsLinuxhostedLinux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyes
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.nononono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yesnono
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
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
C#
Java
PHP
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes, in LuaTransact SQLnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding, horizontal partitioningno
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesSynchronous replication via raftSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoyesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
IRONdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTypeDB 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 Synapse Analytics infopreviously named Azure SQL Data WarehouseTypeDB infoformerly named GraknVictoriaMetrics
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