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DBMS > Hazelcast vs. Impala

System Properties Comparison Hazelcast vs. Impala

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionA widely adopted in-memory data gridAnalytic DBMS for Hadoop
Primary database modelKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.54
Rank#45  Overall
#5  Key-value stores
Score14.74
Rank#37  Overall
#23  Relational DBMS
Websitehazelcast.comwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationhazelcast.org/­documentationwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperHazelcastCloudera
Initial release20082013
Current release3.12, April 20193.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen 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 languageJavaC++
Server operating systemsAll OS with a Java VMLinux
Data schemeschema-freeyes
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.yes infothe object must implement a serialization strategyno
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyes infouser defined functions and integration of map-reduce
Triggersyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedno
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 controlRole-based access controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
HazelcastImpala
Recent citations in the news

Hazelcast Enhances Real-Time Capabilities for Financial Services Industry
10 September 2019, Yahoo Finance

Hazelcast raises $21 million for high-speed, low-latency memory
18 June 2019, VentureBeat

Hazelcast Release Managed Cloud Offering
10 April 2019, InfoQ.com

In-Memory Data Grid Market to Witness Robust Expansion throughout the Forecast 2019-2025 with Top Key Players like Oracle, IBM, Hazelcast, Scale Out Software, Tibco Software, Software AG, Gigaspaces, Gridgain Systems, Alachisoft, Pivotal, Tmaxsoft, Hitachi
17 September 2019, Indian Columnist

Global In-Memory Data Grids Market 2019-2024 Business Developments - IBM, Software AG, Hazelcast, Pivotal, GigaSpaces Technologies, Red Hat, TIBCO Software, Scaleout Software Inc
17 September 2019, Top News Herald

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: 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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