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DBMS > Apache Impala vs. Firebase Realtime Database vs. InfluxDB vs. OrigoDB

System Properties Comparison Apache Impala vs. Firebase Realtime Database vs. InfluxDB vs. OrigoDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonInfluxDB  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.DBMS for storing time series, events and metricsA fully ACID in-memory object graph database
Primary database modelRelational DBMSDocument storeTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument storeSpatial DBMS infowith GEO package
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
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteimpala.apache.orgfirebase.google.com/­products/­realtime-databasewww.influxdata.com/­products/­influxdb-overvieworigodb.com
Technical documentationimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­databasedocs.influxdata.com/­influxdborigodb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogle infoacquired by Google 2014Robert Friberg et al
Initial release2013201220132009 infounder the name LiveDB
Current release4.1.0, June 20222.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC#
Server operating systemsLinuxhostedLinux
OS X infothrough Homebrew
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and StringsUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
HTTP API
JSON over UDP
.NET Client API
HTTP API
LINQ
Supported programming languagesAll languages supporting JDBC/ODBCJava
JavaScript
Objective-C
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducelimited functionality with using 'rules'noyes
TriggersnoCallbacks are triggered when data changesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyhorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes, based on authentication and database rulessimple rights management via user accountsRole based authorization
More information provided by the system vendor
Apache ImpalaFirebase Realtime DatabaseInfluxDBOrigoDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
Apache ImpalaFirebase Realtime DatabaseInfluxDBOrigoDB
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Recent citations in the news

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