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DBMS > BoltDB vs. Dragonfly vs. etcd vs. IBM Db2 Event Store

System Properties Comparison BoltDB vs. Dragonfly vs. etcd vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDragonfly  Xexclude from comparisonetcd  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA distributed reliable key-value storeDistributed Event Store optimized for Internet of Things use cases
Primary database modelKey-value storeKey-value storeKey-value storeEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.41
Rank#266  Overall
#38  Key-value stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitegithub.com/­boltdb/­boltgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
etcd.io
github.com/­etcd-io/­etcd
www.ibm.com/­products/­db2-event-store
Technical documentationwww.dragonflydb.io/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.ibm.com/­docs/­en/­db2-event-store
DeveloperDragonflyDB team and community contributorsIBM
Initial release201320232017
Current release1.0, March 20233.4, August 20192.0
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoBSL 1.1Open Source infoApache Version 2.0commercial infofree developer edition available
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 languageGoC++GoC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
Windows infoexperimental
Linux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freescheme-freeschema-freeyes
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysnoyes
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 indexesnononono
SQL infoSupport of SQLnononoyes infothrough the embedded Spark runtime
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolgRPC
JSON over HTTP
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGoC
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
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnoLuanoyes
Triggersnopublish/subscribe channels provide some trigger functionalityyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic execution of command blocks and scriptsnono
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesNo - 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.noyesnoyes
User concepts infoAccess controlnoPassword-based authenticationnofine grained access rights according to SQL-standard

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More resources
BoltDBDragonflyetcdIBM Db2 Event Store
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