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DBMS > IRONdb vs. Microsoft Azure Synapse Analytics vs. OpenQM vs. TimescaleDB vs. XTDB

System Properties Comparison IRONdb vs. Microsoft Azure Synapse Analytics vs. OpenQM vs. TimescaleDB vs. XTDB

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTimescaleDB  Xexclude from comparisonXTDB infoformerly named Crux  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 ServerQpenQM is a high-performance, self-tuning, multi-value DBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSRelational DBMSMultivalue DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­synapse-analyticswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.timescale.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­azure/­synapse-analyticsdocs.timescale.comwww.xtdb.com/­docs
DeveloperCirconus LLC.MicrosoftRocket Software, originally Martin PhillipsTimescaleJuxt Ltd.
Initial release20172016199320172019
Current releaseV0.10.20, January 20183.4-122.15.0, May 20241.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++CClojure
Server operating systemsLinuxhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyes infowith some exceptionsyesschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes, extensible-data-notation format
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.nonoyesyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yesnoyes infofull PostgreSQL SQL syntaxlimited SQL, making use of Apache Calcite
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
JDBC
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
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Clojure
Java
Server-side scripts infoStored proceduresyes, in LuaTransact SQLyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding, horizontal partitioningyesyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesyesSource-replica replication with hot standby and reads on replicas infoyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoyesAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
IRONdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenQM infoalso called QMTimescaleDBXTDB infoformerly named Crux
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