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DBMS > Firebase Realtime Database vs. Hypertable vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. Solr

System Properties Comparison Firebase Realtime Database vs. Hypertable vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. Solr

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSolr  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.An open source BigTable implementation based on distributed file systems such as HadoopEmbeddable relational database for web apps written in pure JavaScriptElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeWide column storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitefirebase.google.com/­products/­realtime-databasegoogle.github.io/­lovefieldazure.microsoft.com/­services/­synapse-analyticssolr.apache.org
Technical documentationfirebase.google.com/­docs/­databasegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­azure/­synapse-analyticssolr.apache.org/­resources.html
DeveloperGoogle infoacquired by Google 2014Hypertable Inc.GoogleMicrosoftApache Software Foundation
Initial release20122009201420162006
Current release0.9.8.11, March 20162.1.12, February 20179.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScriptC++Java
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoyesyesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternyesSolr Parallel SQL Interface
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
JavaScriptC#
Java
PHP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonoTransact SQLJava plugins
TriggersCallbacks are triggered when data changesnoUsing read-only observersnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
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 rulesnonoyesyes

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More resources
Firebase Realtime DatabaseHypertableLovefieldMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSolr
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