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DBMS > GridGain vs. Impala

System Properties Comparison GridGain vs. Impala

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAnalytic DBMS for Hadoop
Primary database modelKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.61
Rank#117  Overall
#20  Key-value stores
#60  Relational DBMS
Score14.74
Rank#37  Overall
#23  Relational DBMS
Websitewww.gridgain.comwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdocs.gridgain.com/­docswww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperGridGain Systems, Inc.Cloudera
Initial release20072013
Current releaseGridGain 8.5.13.3.0, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2
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 languageJava, C++, .NetC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements
APIs and other access methodsHDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reduce
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
GridGainImpala
Recent citations in the news

GridGain Systems Named to Inc. 5000 List of America’s Fastest-Growing Private Companies for Third Consecutive Year
28 August 2019, Yahoo Finance

GridGain Experts Explain In-Memory Computing Technology and Benefits, Provide Deployment Insights at Multiple Industry Events
10 September 2019, GlobeNewswire

Sneak Peek of Breakout Session Talks and Speakers Now Available for Fifth Annual In-Memory Computing Summit North America
5 September 2019, GlobeNewswire

Global In-Memory Computing Market 2019 – IBM, Oracle, QlikTech, SAP, Altibase, GridGain Systems – NewsStoner
18 September 2019, NewsStoner

GridGain In-Memory Computing Platform Continues Strong Momentum in First Half of 2019, Highlighted by a Doubling of Subscription Bookings
18 July 2019, GlobeNewswire

provided by Google 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 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

provided by Google News

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