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DBMS > Apache Impala vs. Firebase Realtime Database vs. H2 vs. Hawkular Metrics vs. NuoDB

System Properties Comparison Apache Impala vs. Firebase Realtime Database vs. H2 vs. Hawkular Metrics vs. NuoDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonH2  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNuoDB  Xexclude from comparison
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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.NuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Websiteimpala.apache.orgfirebase.google.com/­products/­realtime-databasewww.h2database.comwww.hawkular.orgwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­databasewww.h2database.com/­html/­main.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedoc.nuodb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogle infoacquired by Google 2014Thomas MuellerCommunity supported by Red HatDassault Systèmes infooriginally NuoDB, Inc.
Initial release20132012200520142013
Current release4.1.0, June 20222.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0commercial 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++JavaJavaC++
Server operating systemsLinuxhostedAll OS with a Java VMLinux
OS X
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesnoyes
APIs and other access methodsJDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
HTTP RESTADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJava
JavaScript
Objective-C
JavaGo
Java
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-reducelimited functionality with using 'rules'Java Stored Procedures and User-Defined FunctionsnoJava, SQL
TriggersnoCallbacks are triggered when data changesyesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on Cassandradata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor infobased on Cassandrayes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
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 ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDnoACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes 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.noyesnoyes infoTemporary table
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes, based on authentication and database rulesfine grained access rights according to SQL-standardnoStandard SQL roles/ privileges, Administrative Users

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More resources
Apache ImpalaFirebase Realtime DatabaseH2Hawkular MetricsNuoDB
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