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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. DuckDB vs QuestDB

DuckDB vs QuestDB

OverviewComparisonAlternatives

Overview

DuckDB
DuckDB
Stacks49
Followers60
Votes0
QuestDB
QuestDB
Stacks19
Followers50
Votes17
GitHub Stars16.3K
Forks1.5K

DuckDB vs QuestDB: What are the differences?

Developers describe DuckDB as "SQLite for Analytics". It is an embedded database designed to execute analytical SQL queries fast while embedded in another process. It is designed to be easy to install and easy to use. DuckDB has no external dependencies. It has bindings for C/C++, Python and R. On the other hand, QuestDB is detailed as "Open source database for time series, events, and analytical workloads". It is an open source database for time series, events, and analytical workloads with a primary focus on performance. It enhances ANSI SQL with time series extensions to manipulate time stamped data.

DuckDB and QuestDB can be primarily classified as "Databases" tools.

Some of the features offered by DuckDB are:

  • Embedded database
  • Designed to execute analytical SQL queries fast
  • No external dependencies

On the other hand, QuestDB provides the following key features:

  • SIMD optimised analytics
  • Rows and columns based access
  • Vectorized queries execution

DuckDB is an open source tool with 1.37K GitHub stars and 100 GitHub forks. Here's a link to DuckDB's open source repository on GitHub.

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Detailed Comparison

DuckDB
DuckDB
QuestDB
QuestDB

It is an embedded database designed to execute analytical SQL queries fast while embedded in another process. It is designed to be easy to install and easy to use. DuckDB has no external dependencies. It has bindings for C/C++, Python and R.

QuestDB is an open source database for time series, events, and analytical workloads with a primary focus on performance. It enhances ANSI SQL with time series extensions.

Embedded database; Designed to execute analytical SQL queries fast; No external dependencies
Relational model for time series; SIMD accelerated queries; Time partitioned; Heavy parallelization; Scalable ingestion; Immediate consistency; Time series and relational joins; Native InfluxDB line protocol; Grafana through Postgres wire support; Schema or schema-free; Aggregations and down sampling
Statistics
GitHub Stars
-
GitHub Stars
16.3K
GitHub Forks
-
GitHub Forks
1.5K
Stacks
49
Stacks
19
Followers
60
Followers
50
Votes
0
Votes
17
Pros & Cons
No community feedback yet
Pros
  • 2
    Real-time analytics
  • 2
    Time-series data analysis
  • 2
    Open source
  • 2
    SQL
  • 2
    Postgres wire protocol
Integrations
Python
Python
C++
C++
R Language
R Language
InfluxDB
InfluxDB
Java
Java
PostgreSQL
PostgreSQL

What are some alternatives to DuckDB, QuestDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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