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DBMS > Apache Impala vs. Drizzle vs. Firebase Realtime Database vs. Quasardb vs. STSdb

System Properties Comparison Apache Impala vs. Drizzle vs. Firebase Realtime Database vs. Quasardb vs. STSdb

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonQuasardb  Xexclude from comparisonSTSdb  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.
DescriptionAnalytic DBMS for HadoopMySQL 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.Distributed, high-performance timeseries databaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteimpala.apache.orgfirebase.google.com/­products/­realtime-databasequasar.aigithub.com/­STSSoft/­STSdb4
Technical documentationimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­databasedoc.quasar.ai/­master
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014quasardbSTS Soft SC
Initial release20132008201220092011
Current release4.1.0, June 20227.2.4, September 20123.14.1, January 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU GPLcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++C#
Server operating systemsLinuxFreeBSD
Linux
OS X
hostedBSD
Linux
OS X
Windows
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes infoprimitive types and user defined types (classes)
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.nonono
Secondary indexesyesyesyesyes infowith tagsno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
JDBCAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP API.NET Client API
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Java
PHP
Java
JavaScript
Objective-C
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenolimited functionality with using 'rules'nono
Triggersnono infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesCryptographically strong user authentication and audit trailno

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More resources
Apache ImpalaDrizzleFirebase Realtime DatabaseQuasardbSTSdb
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