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DBMS > Apache Drill vs. Hazelcast

System Properties Comparison Apache Drill vs. Hazelcast

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA widely adopted in-memory data grid
Primary database modelDocument store
Relational DBMS
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#128  Overall
#23  Document stores
#60  Relational DBMS
Score5.57
Rank#61  Overall
#7  Key-value stores
Websitedrill.apache.orghazelcast.com
Technical documentationdrill.apache.org/­docshazelcast.org/­imdg/­docs
DeveloperApache Software FoundationHazelcast
Initial release20122008
Current release1.20.3, January 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Data schemeschema-freeschema-free
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.noyes infothe object must implement a serialization strategy
Secondary indexesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC++.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infoEvent Listeners, Executor Services
Triggersnoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes
User concepts infoAccess controlDepending on the underlying data sourceRole-based access control

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More resources
Apache DrillHazelcast
Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
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Apache Drill Eliminates ETL, Data Transformation for MapR Database
11 April 2016, The New Stack

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20 May 2015, The Next Platform

MapR Adds Drill to Hadoop Distribution for SQL-Based Big Data Analytics
21 May 2015, ADT Magazine

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20 May 2015, insideBIGDATA

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