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DBMS > Datomic vs. Dragonfly vs. Solr vs. Tkrzw

System Properties Comparison Datomic vs. Dragonfly vs. Solr vs. Tkrzw

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonSolr  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA widely used distributed, scalable search engine based on Apache LuceneA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSKey-value storeSearch engineKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score41.02
Rank#24  Overall
#3  Search engines
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
solr.apache.orgdbmx.net/­tkrzw
Technical documentationdocs.datomic.comwww.dragonflydb.io/­docssolr.apache.org/­resources.html
DeveloperCognitectDragonflyDB team and community contributorsApache Software FoundationMikio Hirabayashi
Initial release2012202320062020
Current release1.0.7075, December 20231.0, March 20239.6.1, May 20240.9.3, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSL 1.1Open Source infoApache Version 2Open 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++JavaC++
Server operating systemsAll OS with a Java VMLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Data schemeyesscheme-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes infosupports customizable data types and automatic typingno
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.nonoyesno
Secondary indexesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoSolr Parallel SQL Interfaceno
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolJava API
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
C
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
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsLuaJava pluginsno
TriggersBy using transaction functionspublish/subscribe channels provide some trigger functionalityyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyesyesyes infousing specific database classes
User concepts infoAccess controlnoPassword-based authenticationyesno

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DatomicDragonflySolrTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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