DBMS > Apache Drill vs. DuckDB vs. RocksDB

System Properties Comparison Apache Drill vs. DuckDB vs. RocksDB

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Editorial information provided by DB-Engines

Name

Description

Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage

An embeddable, in-process, column-oriented SQL OLAP RDBMS

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Primary database model

Document store
Relational DBMS

Relational DBMS

Key-value store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	2.86
Rank	#117	Overall
	#22	Document stores
	#60	Relational DBMS

Score	3.40
Rank	#103	Overall
	#51	Relational DBMS

Score	3.92
Rank	#94	Overall
	#15	Key-value stores

Website

drill.apache.org

duckdb.org

rocksdb.org

Technical documentation

drill.apache.org/docs

duckdb.org/docs

github.com/facebook/rocksdb/wiki

Developer

Apache Software Foundation

Facebook, Inc.

Initial release

2012

2018

2013

Current release

1.20.3, January 2023

0.2, August 2020

7.10.2, March 2023

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

MIT License

Open Source

BSD

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

Linux
OS X
Windows

server-less

Linux

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

SQL

Support of SQL

SQL SELECT statement is SQL:2003 compliant

yes

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

CLI Client
JDBC

C++ API
Java API

Supported programming languages

C++

C
C++
Go

3rd party driver
Java
Python
R
Ruby

3rd party driver

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

Depending on the underlying data source

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

yes

User concepts

Access control

Depending on the underlying data source

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