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DBMS > Impala vs. MonetDB

System Properties Comparison Impala vs. MonetDB

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA relational database management system that stores data in columns
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.57
Rank#37  Overall
#23  Relational DBMS
Score1.88
Rank#111  Overall
#54  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.monetdb.org
Technical documentationwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlwww.monetdb.org/­Documentation
DeveloperClouderaMonetDB BV
Initial release20132004
Current release3.3.0, August 2019Apr2019, April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
native C library infoMAPI library (MonetDB application programming interface)
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, in SQL, C, R
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoMaster-slave replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standard
More information provided by the system vendor
ImpalaMonetDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

Remote Tables and Authorization
10 August 2018

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ImpalaMonetDB
Recent citations in the news

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

Apache Impala gets top-level status as open source Hadoop tool
1 December 2017, TechTarget

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

provided by Google News

MonetDB Solutions secures investment from ServiceNow
1 October 2019, Centrum Wiskunde & Informatica (CWI)

5 Channel Partner Updates: Tuesday 01 October 2019
1 October 2019, ChannelE2E

Discovering New Asset of RDBMS Software Market By Leading Players Microsoft, Oracle, PostgreSQL Global Development Group, SQLite, IBM, SolarWinds IT Operations Management, Cubrid
15 October 2019, Market Expert

Global RDBMS Software Market Research Report 2019-2024 – SQLite, ThinkSQL, Oracle, Microsoft, IBM, PostgreSQL Global
4 October 2019, Mach Tribune

Global RDBMS Software Market 2019 Industry Dynamics - Cubrid, TmaxSoft, SQLite, Oracle, Microsoft, PostgreSQL Global Development Group
14 October 2019, News Adopt

provided by Google News

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