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DBMS > Apache Impala vs. Firebase Realtime Database vs. H2 vs. HyperSQL vs. OpenEdge

System Properties Comparison Apache Impala vs. Firebase Realtime Database vs. H2 vs. HyperSQL vs. OpenEdge

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonH2  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonOpenEdge  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.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBApplication development environment with integrated database management system
Primary database modelRelational DBMSDocument storeRelational DBMSRelational 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
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websiteimpala.apache.orgfirebase.google.com/­products/­realtime-databasewww.h2database.comhsqldb.orgwww.progress.com/­openedge
Technical documentationimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­databasewww.h2database.com/­html/­main.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogle infoacquired by Google 2014Thomas MuellerProgress Software Corporation
Initial release20132012200520011984
Current release4.1.0, June 20222.2.220, July 20232.7.2, June 2023OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinuxhostedAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyesyes
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.nonononoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyesyes infoclose to SQL 92
APIs and other access methodsJDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJava
JavaScript
Objective-C
JavaAll languages supporting JDBC/ODBC
Java
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducelimited functionality with using 'rules'Java Stored Procedures and User-Defined FunctionsJava, SQLyes
TriggersnoCallbacks are triggered when data changesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioning infosince Version 11.4
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 databasenoneSource-replica replication
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyesno
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-standardfine grained access rights according to SQL-standardUsers and groups

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More resources
Apache ImpalaFirebase Realtime DatabaseH2HyperSQL infoalso known as HSQLDBOpenEdge
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