DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > BigchainDB vs. Dragonfly vs. Heroic vs. MariaDB vs. Milvus

System Properties Comparison BigchainDB vs. Dragonfly vs. Heroic vs. MariaDB vs. Milvus

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDragonfly  Xexclude from comparisonHeroic  Xexclude from comparisonMariaDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelDocument storeKey-value storeTime Series DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score91.04
Rank#13  Overall
#9  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websitewww.bigchaindb.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­spotify/­heroicmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
milvus.io
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dragonflydb.io/­docsspotify.github.io/­heroicmariadb.com/­kb/­en/­librarymilvus.io/­docs/­overview.md
DeveloperDragonflyDB team and community contributorsSpotifyMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Initial release2016202320142009 infoFork of MySQL, which was first released in 19952019
Current release1.0, March 202311.3.2, February 20242.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoBSL 1.1Open Source infoApache 2.0Open Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoApache Version 2.0
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.
STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.Zilliz Cloud – Cloud-native service for Milvus
Implementation languagePythonC++JavaC and C++C++, Go
Server operating systemsLinuxLinuxFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freescheme-freeschema-freeyes infoDynamic columns are supported
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysyesyesVector, Numeric and String
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.nononoyesno
Secondary indexesnoyes infovia Elasticsearchyesno
SQL infoSupport of SQLnononoyes infowith proprietary extensionsno
APIs and other access methodsCLI Client
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuanoyes infoPL/SQL compatibility added with version 10.3no
Triggerspublish/subscribe channels provide some trigger functionalitynoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingseveral options for horizontal partitioning and ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infonot for in-memory storage engineyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infowith MEMORY storage engineyes
User concepts infoAccess controlyesPassword-based authenticationfine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
BigchainDBDragonflyHeroicMariaDBMilvus
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BigchainDBDragonflyHeroicMariaDBMilvus
DB-Engines blog posts

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

show all

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

BigchainDB • • The blockchain database.
4 February 2016, bigchaindb.com

Using BigchainDB: A Database with Blockchain Characteristics
20 January 2022, Open Source For You

Blockchain Database Startup BigchainDB Raises €3 Million
27 September 2016, CoinDesk

ascribe announces scalable blockchain database BigchainDB - CoinReport
13 February 2016, CoinReport

7 blockchain firms join Bosch led GAIA-X consortium for vehicle identity - Ledger Insights
13 September 2022, Ledger Insights

provided by Google News

DragonflyDB Announces $21m in New Funding and General Availability
21 March 2023, businesswire.com

DragonflyDB reels in $21M for its speedy in-memory database
21 March 2023, SiliconANGLE News

Dragonfly 1.0 Released For What Claims To Be The World's Fastest In-Memory Data Store
20 March 2023, Phoronix

Intel Linux Kernel Optimizations Show Huge Benefit For High Core Count Servers
29 March 2023, Phoronix

SFU Computing Science researchers receive 2022 ACM SIGMOD Research Highlight Award.
24 February 2023, Simon Fraser University News

provided by Google News

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

MariaDB plc (NYSE:MRDB) Short Interest Down 16.9% in May
16 June 2024, Defense World

Private equity offer for MariaDB gets thumbsup from shareholders
21 May 2024, The Register

RECOMMENDED CASH OFFER for MARIADB PLC by MERIDIAN BIDCO LLC ("Bidco") which is an Affiliate of K1 ...
7 June 2024, PR Newswire

MariaDB plc: Shareholders speak, but execs are quiet
22 May 2024, InfoWorld

Struggling database company MariaDB could be taken private in $37M deal
19 February 2024, TechCrunch

provided by Google News

How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
26 March 2024, The New Stack

AI-Powered Search Engine With Milvus Vector Database on Vultr
31 January 2024, SitePoint

Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search
20 March 2024, GlobeNewswire

Zilliz Unveils Game-Changing Features for Vector Search
22 March 2024, Datanami

IBM watsonx.data’s integrated vector database: unify, prepare, and deliver your data for AI
9 April 2024, IBM

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here