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DBMS > Impala vs. Lovefield

System Properties Comparison Impala vs. Lovefield

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.74
Rank#37  Overall
#23  Relational DBMS
Score0.16
Rank#265  Overall
#124  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlgoogle.github.io/­lovefield
Technical documentationwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperClouderaGoogle
Initial release20132014
Current release3.3.0, August 20192.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 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++JavaScript
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
TriggersnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
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, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno

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More resources
ImpalaLovefield
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’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera: Impala's it for interactive SQL on Hadoop; everything else will move to Spark
3 July 2014, GigaOM

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

provided by Google News

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18 November 2014, InfoQ.com

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