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DBMS > Apache Impala vs. Firebase Realtime Database vs. Hypertable vs. jBASE vs. NuoDB

System Properties Comparison Apache Impala vs. Firebase Realtime Database vs. Hypertable vs. jBASE vs. NuoDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparisonjBASE  Xexclude from comparisonNuoDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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.An open source BigTable implementation based on distributed file systems such as HadoopA robust multi-value DBMS comprising development tools and middlewareNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSDocument storeWide column storeMultivalue DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score15.07
Rank#38  Overall
#6  Document stores
Score1.68
Rank#151  Overall
#3  Multivalue DBMS
Score0.94
Rank#207  Overall
#96  Relational DBMS
Websiteimpala.apache.orgfirebase.google.com/­products/­realtime-databasewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.3ds.com/­nuodb-distributed-sql-database
Technical documentationimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­databasedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9doc.nuodb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogle infoacquired by Google 2014Hypertable Inc.Rocket Software (formerly Zumasys)Dassault Systèmes infooriginally NuoDB, Inc.
Initial release20132012200919912013
Current release4.1.0, June 20220.9.8.11, March 20165.7
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGNU version 3. Commercial license availablecommercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinuxhostedLinux
OS X
Windows infoan inofficial Windows port is available
AIX
Linux
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnooptionalyes
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.nonoyesno
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoEmbedded SQL for jBASE in BASICyes
APIs and other access methodsJDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJava
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducelimited functionality with using 'rules'noyesJava, SQL
TriggersnoCallbacks are triggered when data changesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor on file system levelyesyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTemporary table
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes, based on authentication and database rulesnoAccess rights can be defined down to the item levelStandard SQL roles/ privileges, Administrative Users

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More resources
Apache ImpalaFirebase Realtime DatabaseHypertablejBASENuoDB
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