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DBMS > Datomic vs. Dragonfly vs. SAP SQL Anywhere vs. Solr vs. Tkrzw

System Properties Comparison Datomic vs. Dragonfly vs. SAP SQL Anywhere vs. Solr vs. Tkrzw

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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 instanceRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA 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 storeRelational DBMSSearch engineKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.sap.com/­products/­technology-platform/­sql-anywhere.htmlsolr.apache.orgdbmx.net/­tkrzw
Technical documentationdocs.datomic.comwww.dragonflydb.io/­docshelp.sap.com/­docs/­SAP_SQL_Anywheresolr.apache.org/­resources.html
DeveloperCognitectDragonflyDB team and community contributorsSAP infoformerly SybaseApache Software FoundationMikio Hirabayashi
Initial release20122023199220062020
Current release1.0.6735, June 20231.0, March 202317, July 20159.6.0, April 20240.9.3, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSL 1.1commercialOpen Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++JavaC++
Server operating systemsAll OS with a Java VMLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Data schemeyesscheme-freeyesyes 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 arraysyesyes 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.nonoyesyesno
Secondary indexesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoyesSolr Parallel SQL Interfaceno
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
HTTP API
JDBC
ODBC
Java 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
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.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 FunctionsLuayes, in C/C++, Java, .Net or PerlJava pluginsno
TriggersBy using transaction functionspublish/subscribe channels provide some trigger functionalityyesyes 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 peersnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationSource-replica replication infoDatabase mirroringyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentyesyesyesyes infousing specific database classes
User concepts infoAccess controlnoPassword-based authenticationfine grained access rights according to SQL-standardyesno

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More resources
DatomicDragonflySAP SQL Anywhere infoformerly called Adaptive Server AnywhereSolrTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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