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DBMS > Dragonfly vs. EventStoreDB vs. FeatureBase vs. Heroic

System Properties Comparison Dragonfly vs. EventStoreDB vs. FeatureBase vs. Heroic

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceIndustrial-strength, open-source database solution built from the ground up for event sourcing.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelKey-value storeEvent StoreRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.eventstore.comwww.featurebase.comgithub.com/­spotify/­heroic
Technical documentationwww.dragonflydb.io/­docsdevelopers.eventstore.comdocs.featurebase.comspotify.github.io/­heroic
DeveloperDragonflyDB team and community contributorsEvent Store LimitedMolecula and Pilosa Open Source ContributorsSpotify
Initial release2023201220172014
Current release1.0, March 202321.2, February 20212022, May 2022
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open SourcecommercialOpen 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.
Implementation languageC++GoJava
Server operating systemsLinuxLinux
Windows
Linux
macOS
Data schemescheme-freeyesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.nonono
Secondary indexesnonoyes infovia Elasticsearch
SQL infoSupport of SQLnoSQL queriesno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolgRPC
JDBC
Kafka Connector
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC
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
Java
Python
Server-side scripts infoStored proceduresLuano
Triggerspublish/subscribe channels provide some trigger functionalitynono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsyesno
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlPassword-based authentication

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More resources
DragonflyEventStoreDBFeatureBaseHeroic
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