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DBMS > Drizzle vs. Firebase Realtime Database vs. LMDB vs. Manticore Search

System Properties Comparison Drizzle vs. Firebase Realtime Database vs. LMDB vs. Manticore Search

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLMDB  Xexclude from comparisonManticore Search  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A high performant, light-weight, embedded key-value database libraryMulti-storage database for search, including full-text search.
Primary database modelRelational DBMSDocument storeKey-value storeSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Websitefirebase.google.com/­products/­realtime-databasewww.symas.com/­symas-embedded-database-lmdbmanticoresearch.com
Technical documentationfirebase.google.com/­docs/­databasewww.lmdb.tech/­docmanual.manticoresearch.com
DeveloperDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014SymasManticore Software
Initial release2008201220112017
Current release7.2.4, September 20120.9.32, January 20246.0, February 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen SourceOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
Unix
Windows
FreeBSD
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeFixed schema
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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 XML
Secondary indexesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith proprietary extensionsnonoSQL-like query language
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesC
C++
Java
PHP
Java
JavaScript
Objective-C
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'nouser defined functions
Triggersno infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesnono

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More resources
DrizzleFirebase Realtime DatabaseLMDBManticore Search
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