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DuckDB VS MonetDB

Compare DuckDB VS MonetDB and see what are their differences

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DuckDB logo DuckDB

DuckDB is an in-process SQL OLAP database management system

MonetDB logo MonetDB

Column-store database
  • DuckDB Landing page
    Landing page //
    2023-06-18
  • MonetDB Landing page
    Landing page //
    2023-09-23

DuckDB features and specs

  • Lightweight
    DuckDB is a lightweight database that is easy to install and use without requiring a separate server process.
  • In-Memory Processing
    It supports efficient in-memory execution, which makes it suitable for analytical queries that require quick data processing.
  • Columnar Storage
    DuckDB uses a columnar storage format that optimizes for analytical workloads by improving read performance for large datasets.
  • Integration with Data Science Tools
    The database integrates well with popular data science tools and libraries such as Pandas, R, and Jupyter Notebooks.
  • SQL Support
    DuckDB offers full support for SQL, allowing users to leverage their existing SQL knowledge without having to learn new query languages.
  • Open Source
    DuckDB is open-source, enabling users to inspect the code, contribute to its development, and use it without licensing costs.

Possible disadvantages of DuckDB

  • Limited Scalability
    DuckDB is optimized for single-node operations, which may not be suitable for scaling out to large, distributed data workloads.
  • Relatively New
    As a newer database system, DuckDB might lack some features and optimizations found in more mature database systems.
  • Lack of Advanced Features
    DuckDB may not support some advanced database management features like complex transactions and user permissions found in other database systems.
  • Community and Support
    Being a less mature project, it might not have as large a community or extensive documentation and support as other established database systems.
  • Limited Distributed Processing
    DuckDB currently focuses more on local data processing and may not be the best choice for applications needing distributed computing capabilities.

MonetDB features and specs

No features have been listed yet.

DuckDB videos

+ Add

DuckDB An Embeddable Analytical Database

More videos:

  • Review - DuckDB: Hi-performance SQL queries on pandas dataframe (Python)
  • Review - DuckDB An Embeddable Analytical Database

MonetDB videos

+ Add

MonetDB on Azure - Deployment and First Query

More videos:

  • Review - My uninformed attempt at running open source high speed monetDB
  • Review - DB2 — Chapter 03 — Video #10 — Column storage in MonetDB, NSM vs. DSM, positional BAT "joins"

Category Popularity

0-100% (relative to DuckDB and MonetDB)

DuckDB

MonetDB

Databases
84 84%
Databases
16% 16
Big Data
83 83%
Big Data
17% 17
Relational Databases
70 70%
Relational Databases
30% 30
Key-Value Database
100 100%
Key-Value Database
0% 0

User comments

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Social recommendations and mentions

Based on our record, DuckDB seems to be more popular. It has been mentiond 37 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

DuckDB mentions (37)

  • From OLTP to OLAP: Streaming Databases into MotherDuck with Estuary
    DuckDB is an open source analytical database designed with a clear goal: to make complex queries fast and simple without heavy infrastructure. Instead of being a traditional client-server database, DuckDB is embedded. It runs inside the host process, which reduces overhead and makes it easy to integrate directly into applications, notebooks, or scripts. Several features stand out:. - Source: dev.to / 8 days ago
  • DuckDB + Iceberg: The ultimate synergy
    Apache Iceberg and DuckDB have established themselves as key players in data architecture landscape. With DuckDB 1.4's native support for Iceberg writes, combined with Apache Polaris and MinIO, this promising stack offers efficiency, scalability, and flexibility. - Source: dev.to / 14 days ago
  • DuckDB on AWS Lambda: The Easy Way with Layers
    It seemed like the perfect opportunity to explore DuckDB, an in-process analytical database known for its efficiency and simplicity. - Source: dev.to / 22 days ago
  • From Go to Rust: Supercharging Our ClickHouse UDFs with Alloy
    While our Go-based implementation has served us well, we've been exploring whether Rust—with its rapidly maturing Ethereum ecosystem—could take us even further. The potential benefits are compelling: better performance, enhanced safety, and improved portability that could make it easier to bring these UDFs to other analytical engines like DataFusion or DuckDB. - Source: dev.to / 3 months ago
  • Show HN: TextQuery – Query CSV, JSON, XLSX Files with SQL
    Have you seen duckdb? https://duckdb.org/ It's basically what you're building, but more low-level. Really cool, to be honest -- serves the same market too. Do you have any significant differentiator, other than charts? - Source: Hacker News / 5 months ago
View more

MonetDB mentions (0)

We have not tracked any mentions of MonetDB yet. Tracking of MonetDB recommendations started around Mar 2021.

What are some alternatives?

When comparing DuckDB and MonetDB, you can also consider the following products

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

Apache Arrow - Apache Arrow is a cross-language development platform for in-memory data.

DBeaver - DBeaver - Universal Database Manager and SQL Client.

Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.

Navicat - Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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