DBMS > Apache Drill vs. Drizzle vs. Heroic

System Properties Comparison Apache Drill vs. Drizzle vs. Heroic

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Editorial information provided by DB-Engines
Name	Apache Drill  Xexclude from comparison	Drizzle  Xexclude from comparison	Heroic  Xexclude from comparison
		Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
Description	Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database model	Document store Relational DBMS	Relational DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.79 Rank #107   Overall #20   Document stores #55   Relational DBMS		Score 0.22 Rank #283   Overall #22   Time Series DBMS
Website	drill.apache.org		spotify.github.io/­heroic/­#!/­index
Technical documentation	drill.apache.org/­docs		spotify.github.io/­heroic/­#!/­docs/­overview
Developer	Apache Software Foundation	Drizzle project, originally started by Brian Aker	Spotify
Initial release	2012	2008	2014
Current release	1.19.0, June 2021	7.2.4, September 2012
License Commercial or Open Source	Open Source Apache Version 2	Open Source GNU GPL	Open Source Apache 2.0
Cloud-based only Only available as a cloud service	no	no	no
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Implementation language		C++	Java
Server operating systems	Linux OS X Windows	FreeBSD Linux OS X
Data scheme	schema-free	yes	schema-free
Typing predefined data types such as float or date	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no		no
Secondary indexes	no	yes	yes via Elasticsearch
SQL Support of SQL	SQL SELECT statement is SQL:2003 compliant	yes with proprietary extensions	no
APIs and other access methods	JDBC ODBC RESTful HTTP API	JDBC	HQL (Heroic Query Language, a JSON-based language) HTTP API
Supported programming languages	C++	C C++ Java PHP
Server-side scripts Stored procedures	user defined functions	no	no
Triggers	no	no hooks for callbacks inside the server can be used.	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes		Multi-source replication Source-replica replication	yes
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	none		Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	Depending on the underlying data source	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	Depending on the underlying data source		no
User concepts Access control	Depending on the underlying data source	Pluggable authentication mechanisms e.g. LDAP, HTTP
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	Apache Drill	Drizzle	Heroic
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