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DBMS > Amazon Redshift vs. Firebase Realtime Database vs. Hive vs. Sadas Engine

System Properties Comparison Amazon Redshift vs. Firebase Realtime Database vs. Hive vs. Sadas Engine

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHive  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.data warehouse software for querying and managing large distributed datasets, built on HadoopSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteaws.amazon.com/­redshiftfirebase.google.com/­products/­realtime-databasehive.apache.orgwww.sadasengine.com
Technical documentationdocs.aws.amazon.com/­redshiftfirebase.google.com/­docs/­databasecwiki.apache.org/­confluence/­display/­Hive/­Homewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAmazon (based on PostgreSQL)Google infoacquired by Google 2014Apache Software Foundation infoinitially developed by FacebookSADAS s.r.l.
Initial release2012201220122006
Current release3.1.3, April 20228.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++
Server operating systemshostedhostedAll OS with a Java VMAIX
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCJava
JavaScript
Objective-C
C++
Java
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonlimited functionality with using 'rules'yes infouser defined functions and integration of map-reduceno
TriggersnoCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesAccess rights for users, groups and rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon RedshiftFirebase Realtime DatabaseHiveSadas Engine
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