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DBMS > Datomic vs. Drizzle vs. KeyDB vs. NSDb

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

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonKeyDB  Xexclude from comparisonNSDb  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An 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 DBMSRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.63
Rank#232  Overall
#32  Key-value stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitewww.datomic.comgithub.com/­Snapchat/­KeyDB
keydb.dev
nsdb.io
Technical documentationdocs.datomic.comdocs.keydb.devnsdb.io/­Architecture
DeveloperCognitectDrizzle project, originally started by Brian AkerEQ Alpha Technology Ltd.
Initial release2012200820192017
Current release1.0.7180, July 20247.2.4, September 2012
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLOpen 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

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Implementation languageJava, ClojureC++C++Java, Scala
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
LinuxLinux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyespartial 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.nonono
Secondary indexesyesyesyes infoby using the Redis Search moduleall fields are automatically indexed
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBCProprietary protocol infoRESP - REdis Serialization ProtocogRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
C
C++
Java
PHP
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 functionsno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
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 ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDOptimistic 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 developmentyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPsimple password-based access control and ACL

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DatomicDrizzleKeyDBNSDb
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