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DBMS > FatDB vs. Heroic vs. IRONdb vs. Milvus vs. WakandaDB

System Properties Comparison FatDB vs. Heroic vs. IRONdb vs. Milvus vs. WakandaDB

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHeroic  Xexclude from comparisonIRONdb  Xexclude from comparisonMilvus  Xexclude from comparisonWakandaDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA 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 searchesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Key-value store
Time Series DBMSTime Series DBMSVector DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­spotify/­heroicwww.circonus.com/solutions/time-series-database/milvus.iowakanda.github.io
Technical documentationspotify.github.io/­heroicdocs.circonus.com/irondb/category/getting-startedmilvus.io/­docs/­overview.mdwakanda.github.io/­doc
DeveloperFatCloudSpotifyCirconus LLC.Wakanda SAS
Initial release20122014201720192012
Current releaseV0.10.20, January 20182.3.4, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
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#JavaC and C++C++, GoC++, JavaScript
Server operating systemsWindowsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes 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 indexesyesyes infovia Elasticsearchnono
SQL infoSupport of SQLno infoVia inetgration in SQL ServernoSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP APIRESTful HTTP APIRESTful HTTP API
Supported programming languagesC#.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
JavaScript
Server-side scripts infoStored proceduresyes infovia applicationsnoyes, in Luanoyes
Triggersyes infovia applicationsnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Immediate consistency per node, eventual consistency across nodesBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnoRole based access control and fine grained access rightsyes
More information provided by the system vendor
FatDBHeroicIRONdbMilvusWakandaDB
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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FatDBHeroicIRONdbMilvusWakandaDB
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