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DBMS > Dragonfly vs. IBM Db2 Event Store vs. OrigoDB vs. YDB

System Properties Comparison Dragonfly vs. IBM Db2 Event Store vs. OrigoDB vs. YDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOrigoDB  Xexclude from comparisonYDB  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 instanceDistributed Event Store optimized for Internet of Things use casesA fully ACID in-memory object graph databaseA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value storeEvent Store
Time Series DBMS
Document store
Object oriented DBMS
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.ibm.com/­products/­db2-event-storeorigodb.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.dragonflydb.io/­docswww.ibm.com/­docs/­en/­db2-event-storeorigodb.com/­docsydb.tech/­en/­docs
DeveloperDragonflyDB team and community contributorsIBMRobert Friberg et alYandex
Initial release202320172009 infounder the name LiveDB2019
Current release1.0, March 20232.0
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercial infofree developer edition availableOpen SourceOpen Source infoApache 2.0; commercial license available
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++C#
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
Linux
Data schemescheme-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenoSQL-like query language (YQL)
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
RESTful HTTP API (DynamoDB compatible)
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
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.NetGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresLuayesyesno
Triggerspublish/subscribe channels provide some trigger functionalitynoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive-active shard replicationSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serverNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlPassword-based authenticationfine grained access rights according to SQL-standardRole based authorizationAccess rights defined for Yandex Cloud users

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More resources
DragonflyIBM Db2 Event StoreOrigoDBYDB
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