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DBMS > Apache Druid vs. IRONdb vs. Milvus vs. Trafodion

System Properties Comparison Apache Druid vs. IRONdb vs. Milvus vs. Trafodion

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonIRONdb  Xexclude from comparisonMilvus  Xexclude from comparisonTrafodion  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA DBMS designed for efficient storage of vector data and vector similarity searchesTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Websitedruid.apache.orgwww.circonus.com/solutions/time-series-database/milvus.iotrafodion.apache.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.circonus.com/irondb/category/getting-startedmilvus.io/­docs/­overview.mdtrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation and contributorsCirconus LLC.Apache Software Foundation, originally developed by HP
Initial release2012201720192014
Current release30.0.0, June 2024V0.10.20, January 20182.4.4, May 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC and C++C++, GoC++, Java
Server operating systemsLinux
OS X
Unix
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsVector, Numeric and Stringyes
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 indexesyesnonoyes
SQL infoSupport of SQLSQL for queryingSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP APIRESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes, in LuanoJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic, metric affinity per nodeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesconfigurable replication factor, datacenter awareyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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.nonoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoRole based access control and fine grained access rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidIRONdbMilvusTrafodion
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Apache DruidIRONdbMilvusTrafodion
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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