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DBMS > AlaSQL vs. Apache Impala vs. Dragonfly vs. Drizzle vs. Firebase Realtime Database

System Properties Comparison AlaSQL vs. Apache Impala vs. Dragonfly vs. Drizzle vs. Firebase Realtime Database

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Impala  Xexclude from comparisonDragonfly  Xexclude from comparisonDrizzle  Xexclude from comparisonFirebase Realtime Database  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.
DescriptionJavaScript DBMS libraryAnalytic DBMS for HadoopA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceMySQL 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.
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score14.29
Rank#39  Overall
#6  Document stores
Websitealasql.orgimpala.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
firebase.google.com/­products/­realtime-database
Technical documentationgithub.com/­AlaSQL/­alasqlimpala.apache.org/­impala-docs.htmlwww.dragonflydb.io/­docsfirebase.google.com/­docs/­database
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation infoApache top-level project, originally developed by ClouderaDragonflyDB team and community contributorsDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014
Initial release20142013202320082012
Current release4.1.0, June 20221.0, March 20237.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2Open Source infoBSL 1.1Open Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinuxFreeBSD
Linux
OS X
hosted
Data schemeschema-freeyesscheme-freeyesschema-free
Typing infopredefined data types such as float or datenoyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.nononono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like DML and DDL statementsnoyes infowith proprietary extensionsno
APIs and other access methodsJavaScript APIJDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocolJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBCC
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++
Java
PHP
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceLuanolimited functionality with using 'rules'
Triggersyesnopublish/subscribe channels provide some trigger functionalityno infohooks for callbacks inside the server can be used.Callbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoAtomic execution of command blocks and scriptsACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPassword-based authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rules

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More resources
AlaSQLApache ImpalaDragonflyDrizzleFirebase Realtime Database
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