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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCubrid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHypertable  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 HadoopCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPCloud-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 HadoopNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSRelational DBMSDocument storeWide column storeRelational 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
Score1.44
Rank#168  Overall
#77  Relational DBMS
Score15.07
Rank#38  Overall
#6  Document stores
Score0.94
Rank#207  Overall
#96  Relational DBMS
Websiteimpala.apache.orgcubrid.com (korean)
cubrid.org (english)
firebase.google.com/­products/­realtime-databasewww.3ds.com/­nuodb-distributed-sql-database
Technical documentationimpala.apache.org/­impala-docs.htmlcubrid.org/­manualsfirebase.google.com/­docs/­databasedoc.nuodb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCUBRID Corporation, CUBRID FoundationGoogle infoacquired by Google 2014Hypertable Inc.Dassault Systèmes infooriginally NuoDB, Inc.
Initial release20132008201220092013
Current release4.1.0, June 202211.0, January 20210.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source infoGNU version 3. Commercial license availablecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++, JavaC++C++
Server operating systemsLinuxLinux
Windows
hostedLinux
OS X
Windows infoan inofficial Windows port is available
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnonoyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Procedureslimited functionality with using 'rules'noJava, SQL
TriggersnoyesCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationselectable replication factor on file system levelyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesnoACID 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.nonoyes infoTemporary table
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyes, based on authentication and database rulesnoStandard SQL roles/ privileges, Administrative Users

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More resources
Apache ImpalaCubridFirebase Realtime DatabaseHypertableNuoDB
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