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DBMS > Dragonfly vs. GeoMesa vs. IBM Db2 Event Store vs. KairosDB

System Properties Comparison Dragonfly vs. GeoMesa vs. IBM Db2 Event Store vs. KairosDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGeoMesa  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKairosDB  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 instanceGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Distributed Event Store optimized for Internet of Things use casesDistributed Time Series DBMS based on Cassandra or H2
Primary database modelKey-value storeSpatial DBMSEvent Store
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.geomesa.orgwww.ibm.com/­products/­db2-event-storegithub.com/­kairosdb/­kairosdb
Technical documentationwww.dragonflydb.io/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.ibm.com/­docs/­en/­db2-event-storekairosdb.github.io
DeveloperDragonflyDB team and community contributorsCCRi and othersIBM
Initial release2023201420172013
Current release1.0, March 20235.0.0, May 20242.01.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache License 2.0commercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC and C++Java
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Data schemescheme-freeyesyesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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.nononono
Secondary indexesnoyesnono
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet 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
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresLuanoyesno
Triggerspublish/subscribe channels provide some trigger functionalitynonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layerActive-active shard replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on storage layerEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnonono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryesno
User concepts infoAccess controlPassword-based authenticationyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardsimple password-based access control

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More resources
DragonflyGeoMesaIBM Db2 Event StoreKairosDB
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