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

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

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonQuasardb  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 database
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteimpala.apache.orgfirebase.google.com/­products/­realtime-databasequasar.ai
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 2014quasardb
Initial release2013200820122009
Current release4.1.0, June 20227.2.4, September 20123.14.1, January 2024
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 licenses
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinuxFreeBSD
Linux
OS X
hostedBSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 tags
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
JDBCAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP 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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenolimited functionality with using 'rules'no
Triggersnono infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonowith Hadoop integration
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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
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 trail

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More resources
Apache ImpalaDrizzleFirebase Realtime DatabaseQuasardb
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