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DBMS > Firebase Realtime Database vs. Lovefield vs. OmniSci

System Properties Comparison Firebase Realtime Database vs. Lovefield vs. OmniSci

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonLovefield  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Embeddable relational database for web apps written in pure JavaScriptA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.36
Rank#36  Overall
#5  Document stores
Score0.27
Rank#275  Overall
#127  Relational DBMS
Score1.27
Rank#153  Overall
#73  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasegoogle.github.io/­lovefieldgithub.com/­omnisci/­omniscidb
www.omnisci.com
Technical documentationfirebase.google.com/­docs/­databasegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.omnisci.com
DeveloperGoogle infoacquired by Google 2014GoogleMapD Technologies, Inc.
Initial release201220142016
Current release2.1.12, February 20175.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++ and CUDA
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Supported programming languagesJava
JavaScript
Objective-C
JavaScriptAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'nono
TriggersCallbacks are triggered when data changesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes
User concepts infoAccess controlyes, based on authentication and database rulesnofine grained access rights according to SQL-standard
More information provided by the system vendor
Firebase Realtime DatabaseLovefieldOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Competitive advantagesOnly OmniSci allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosSpatiotemporal and interactive visual analysis on massive, disparate datasets.
» more
Licensing and pricing modelsOmniSci Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

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More resources
Firebase Realtime DatabaseLovefieldOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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Recent citations in the news

Adding Data to a Cloud Firestore Database
11 March 2020, Database Journal

provided by Google News

GPU Database Market is Going to Boom: Major Giants | Kinetica, OmniSci, SQream, Neo4j – Industrial IT
14 January 2022, Industrial IT

The Global GPU Database Market is expected to grow by $ 361.56 mn during 2021-2025, progressing at a CAGR of 17.82% during the forecast period
21 December 2021, Yahoo Finance

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

OmniSci Drops OmniSci Free Edition Analytics and Data Science Platform
9 March 2021, Solutions Review

OmniSci Launches Free Edition of Platform to Democratize the Power of Accelerated Analytics
3 March 2021, PRNewswire

provided by Google News

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