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DBMS > Apache Impala vs. H2 vs. PieCloudDB

System Properties Comparison Apache Impala vs. H2 vs. PieCloudDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonH2  Xexclude from comparisonPieCloudDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelRelational 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
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Websiteimpala.apache.orgwww.h2database.comwww.openpie.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.h2database.com/­html/­main.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaThomas MuellerOpenPie
Initial release20132005
Current release4.1.0, June 20222.2.220, July 20232.1, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinuxAll OS with a Java VMhosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJavaJava
PL/SQL
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Procedures and User-Defined Functionsuser defined functions
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes
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 databaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
Apache ImpalaH2PieCloudDB
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
Apache ImpalaH2PieCloudDB
Recent citations in the news

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

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28 November 2017, SDTimes.com

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

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12 March 2017, Uber

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provided by Google News



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