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DBMS > Apache Drill vs. Heroic vs. Kinetica

System Properties Comparison Apache Drill vs. Heroic vs. Kinetica

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonHeroic  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#105  Overall
#19  Document stores
#54  Relational DBMS
Score0.21
Rank#290  Overall
#26  Time Series DBMS
Score0.74
Rank#202  Overall
#97  Relational DBMS
Websitedrill.apache.orgspotify.github.io/­heroic/­#!/­indexwww.kinetica.com
Technical documentationdrill.apache.org/­docsspotify.github.io/­heroic/­#!/­docs/­overviewwww.kinetica.com/­docs
DeveloperApache Software FoundationSpotifyKinetica
Initial release201220142012
Current release1.19.0, June 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++
Server operating systemsLinux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes infoGPU vRAM or System RAM
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users and roles on table level
More information provided by the system vendor
Apache DrillHeroicKinetica
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
Apache DrillHeroicKinetica
Recent citations in the news

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

Apache Drill Poised to Crack Tough Data Challenges
19 May 2015, Datanami

MapR Advances Support for Flexible and High Performance Analytics on JSON and S3 Data with Apache Drill
30 January 2019, Business Wire

Google’s Real Time Big Data Tool Cloned By Apache Drill
17 August 2012, TechCrunch

What is Apache Hadoop? Understanding Hadoop Ecosystem & Architecture | ITBE
9 September 2021, IT Business Edge

provided by Google News

Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica
6 January 2022, Datanami

Global GPU Database Market 2021 – Industry Developments, Outlook, Current Trends by 2027 – Discovery Sports Media
18 January 2022, Discovery Sports Media

Kinetica Now Accessible as a Service on Microsoft Azure
14 October 2021, HPCwire

The Global GPU Database Market is expected to grow by $ 361.56 mn during 2021-2025, progressing at a CAGR of 17.82% during the forecast period
21 December 2021, Yahoo Finance

GPU Acceleration Makes Kinetica's Brute Force Database a Brute
17 November 2016, Data Center Knowledge

provided by Google News

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