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DBMS > Databend vs. IRONdb vs. OpenMLDB vs. Spark SQL

System Properties Comparison Databend vs. IRONdb vs. OpenMLDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonIRONdb  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityAn open-source machine learning database that provides a feature platform for training and inferenceSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.circonus.com/solutions/time-series-database/openmldb.aispark.apache.org/­sql
Technical documentationdocs.databend.comdocs.circonus.com/irondb/category/getting-startedopenmldb.ai/­docs/­zh/­mainspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDatabend LabsCirconus LLC.4 Paradigm Inc.Apache Software Foundation
Initial release2021201720202014
Current release1.0.59, April 2023V0.10.20, January 20182024-2 February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen 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 languageRustC and C++C++, Java, ScalaScala
Server operating systemshosted
Linux
macOS
LinuxLinuxLinux
OS X
Windows
Data schemeyesschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesyes 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 indexesnonoyesno
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)yesSQL-like DML and DDL statements
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
HTTP APIJDBC
SQLAlchemy
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Go
Java
Python
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes, in Luanono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodehorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter awareSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonono
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.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnofine grained access rights according to SQL-standardno

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More resources
DatabendIRONdbOpenMLDBSpark SQL
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