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DBMS > Ignite vs. IRONdb vs. Milvus vs. XTDB

System Properties Comparison Ignite vs. IRONdb vs. Milvus vs. XTDB

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonIRONdb  Xexclude from comparisonMilvus  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A 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 searchesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Relational DBMS
Time Series DBMSVector DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteignite.apache.orgwww.circonus.com/solutions/time-series-database/milvus.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationapacheignite.readme.io/­docsdocs.circonus.com/irondb/category/getting-startedmilvus.io/­docs/­overview.mdwww.xtdb.com/­docs
DeveloperApache Software FoundationCirconus LLC.Juxt Ltd.
Initial release2015201720192019
Current releaseApache Ignite 2.6V0.10.20, January 20182.4.4, May 20241.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoMIT License
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 languageC++, Java, .NetC and C++C++, GoClojure
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsVector, Numeric and Stringyes, 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.yesnonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (Circonus Analytics Query Language: CAQL)nolimited SQL, making use of Apache Calcite
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIRESTful HTTP APIHTTP REST
JDBC
Supported programming languagesC#
C++
Java
PHP
Python
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
Clojure
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes, in Luanono
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)configurable replication factor, datacenter awareyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
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
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, 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.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnoRole based access control and fine grained access rights
More information provided by the system vendor
IgniteIRONdbMilvusXTDB infoformerly named Crux
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
IgniteIRONdbMilvusXTDB infoformerly named Crux
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