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DBMS > Datomic vs. Dragonfly vs. Manticore Search vs. SiteWhere

System Properties Comparison Datomic vs. Dragonfly vs. Manticore Search vs. SiteWhere

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonManticore Search  Xexclude from comparisonSiteWhere  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 instanceMulti-storage database for search, including full-text search.M2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSKey-value storeSearch engineTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
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
Score0.29
Rank#302  Overall
#21  Search engines
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
manticoresearch.comgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.datomic.comwww.dragonflydb.io/­docsmanual.manticoresearch.comsitewhere1.sitewhere.io/­index.html
DeveloperCognitectDragonflyDB team and community contributorsManticore SoftwareSiteWhere
Initial release2012202320172010
Current release1.0.7075, December 20231.0, March 20236.0, February 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSL 1.1Open Source infoGPL version 2Open Source infoCommon Public Attribution License Version 1.0
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, ClojureC++C++Java
Server operating systemsAll OS with a Java VMLinuxFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesscheme-freeFixed schemapredefined scheme
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLno
Secondary indexesyesnoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST
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
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsLuauser defined functions
TriggersBy using transaction functionspublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationSynchronous replication based on Galera libraryselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 scriptsyes infoisolated transactions for atomic changes and binary logging for safe writesno
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)yesyes infoThe original contents of fields are not stored in the Manticore index.yes
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 developmentyesno
User concepts infoAccess controlnoPassword-based authenticationnoUsers with fine-grained authorization concept

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More resources
DatomicDragonflyManticore SearchSiteWhere
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