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DBMS > Dragonfly vs. Hazelcast vs. Hyprcubd vs. IBM Db2 Event Store

System Properties Comparison Dragonfly vs. Hazelcast vs. Hyprcubd vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA widely adopted in-memory data gridServerless Time Series DBMSDistributed Event Store optimized for Internet of Things use cases
Primary database modelKey-value storeKey-value storeTime Series DBMSEvent Store
Time Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
hazelcast.comhyprcubd.com (offline)www.ibm.com/­products/­db2-event-store
Technical documentationwww.dragonflydb.io/­docshazelcast.org/­imdg/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperDragonflyDB team and community contributorsHazelcastHyprcubd, Inc.IBM
Initial release202320082017
Current release1.0, March 20235.3.6, November 20232.0
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache Version 2; commercial licenses availablecommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGoC and C++
Server operating systemsLinuxAll OS with a Java VMhostedLinux infoLinux, macOS, Windows for the developer addition
Data schemescheme-freeschema-freeyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyes infotime, int, uint, float, 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.noyes infothe object must implement a serialization strategynono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageyes infothrough the embedded Spark runtime
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJCache
JPA
Memcached protocol
RESTful HTTP API
gRPC (https)ADO.NET
DB2 Connect
JDBC
ODBC
RESTful 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
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresLuayes infoEvent Listeners, Executor Servicesnoyes
Triggerspublish/subscribe channels provide some trigger functionalityyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated MapActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsone or two-phase-commit; repeatable reads; read commitednono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesnoNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlPassword-based authenticationRole-based access controltoken accessfine grained access rights according to SQL-standard

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More resources
DragonflyHazelcastHyprcubdIBM Db2 Event Store
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