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DBMS > Dragonfly vs. EventStoreDB vs. Realm vs. Tarantool

System Properties Comparison Dragonfly vs. EventStoreDB vs. Realm vs. Tarantool

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonEventStoreDB  Xexclude from comparisonRealm  Xexclude from comparisonTarantool  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.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelKey-value storeEvent StoreDocument storeDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#255  Overall
#38  Key-value stores
Score1.07
Rank#181  Overall
#1  Event Stores
Score7.18
Rank#52  Overall
#8  Document stores
Score1.63
Rank#139  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.eventstore.comrealm.iowww.tarantool.io
Technical documentationwww.dragonflydb.io/­docsdevelopers.eventstore.comrealm.io/­docswww.tarantool.io/­en/­doc
DeveloperDragonflyDB team and community contributorsEvent Store LimitedRealm, acquired by MongoDB in May 2019VK
Initial release2023201220142008
Current release1.0, March 202321.2, February 20212.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open SourceOpen SourceOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++
Server operating systemsLinuxLinux
Windows
Android
Backend: server-less
iOS
Windows
BSD
Linux
macOS
Data schemescheme-freeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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 indexesnoyesyes
SQL infoSupport of SQLnonoFull-featured ANSI SQL support
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolOpen binary protocol
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
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresLuano inforuns within the applications so server-side scripts are unnecessaryLua, C and SQL stored procedures
Triggerspublish/subscribe channels provide some trigger functionalityyes infoChange Listenersyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlPassword-based authenticationyesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
DragonflyEventStoreDBRealmTarantool
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