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DBMS > Bangdb vs. EventStoreDB vs. KeyDB vs. RavenDB

System Properties Comparison Bangdb vs. EventStoreDB vs. KeyDB vs. RavenDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEventStoreDB  Xexclude from comparisonKeyDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphIndustrial-strength, open-source database solution built from the ground up for event sourcing.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Event StoreKey-value storeDocument store
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score2.84
Rank#101  Overall
#18  Document stores
Websitebangdb.comwww.eventstore.comgithub.com/­Snapchat/­KeyDB
keydb.dev
ravendb.net
Technical documentationdocs.bangdb.comdevelopers.eventstore.comdocs.keydb.devravendb.net/­docs
DeveloperSachin Sinha, BangDBEvent Store LimitedEQ Alpha Technology Ltd.Hibernating Rhinos
Initial release2012201220192010
Current releaseBangDB 2.0, October 202121.2, February 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open SourceOpen Source infoBSD-3Open Source infoAGPL version 3, 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++C++C#
Server operating systemsLinuxLinux
Windows
LinuxLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventspartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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.nono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query language (RQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization Protoco.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoLuayes
Triggersyes, Notifications (with Streaming only)noyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Strong eventual consistency with CRDTs
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes
User concepts infoAccess controlyes (enterprise version only)simple password-based access control and ACLAuthorization levels configured per client per database

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More resources
BangdbEventStoreDBKeyDBRavenDB
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