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DBMS > Datomic vs. etcd vs. KeyDB vs. NSDb

System Properties Comparison Datomic vs. etcd vs. KeyDB vs. NSDb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonetcd  Xexclude from comparisonKeyDB  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed reliable key-value storeAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSKey-value storeKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.datomic.cometcd.io
github.com/­etcd-io/­etcd
github.com/­Snapchat/­KeyDB
keydb.dev
nsdb.io
Technical documentationdocs.datomic.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.keydb.devnsdb.io/­Architecture
DeveloperCognitectEQ Alpha Technology Ltd.
Initial release201220192017
Current release1.0.7075, December 20233.4, August 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoBSD-3Open Source infoApache Version 2.0
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 languageJava, ClojureGoC++Java, Scala
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
LinuxLinux
macOS
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes: int, bigint, decimal, string
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 indexesyesnoyes infoby using the Redis Search moduleall fields are automatically indexed
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC
JSON over HTTP
Proprietary protocol infoRESP - REdis Serialization ProtocogRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
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
Java
Scala
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoLuano
TriggersBy using transaction functionsyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnonosimple password-based access control and ACL

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More resources
DatomicetcdKeyDBNSDb
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