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Apache Spark VS DuckDB

Compare Apache Spark VS DuckDB and see what are their differences

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

DuckDB logo DuckDB

DuckDB is an in-process SQL OLAP database management system
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • DuckDB Landing page
    Landing page //
    2023-06-18

Apache Spark videos

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

DuckDB videos

DuckDB An Embeddable Analytical Database

More videos:

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

Category Popularity

0-100% (relative to Apache Spark and DuckDB)
Databases
85 85%
15% 15
Big Data
86 86%
14% 14
Data Dashboard
100 100%
0% 0
Relational Databases
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Spark and DuckDB

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...

DuckDB Reviews

We have no reviews of DuckDB yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than DuckDB. It has been mentiond 58 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.

Apache Spark mentions (58)

  • How I've implemented the Medallion architecture using Apache Spark and Apache Hdoop
    In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 4 days ago
  • Shades of Open Source - Understanding The Many Meanings of "Open"
    In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / 6 days ago
  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 4 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 5 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago
View more

DuckDB mentions (15)

  • Big Data Is Dead
    I have lived through the hype of Big data it was a time of HDFS+HTable I guess and Hapoop etc. One can't go wrong with DuckDB+SQLite+Open/Elasticsearch either with 6 to 8 even 10 TB of data. [0]. https://duckdb.org/. - Source: Hacker News / 25 days ago
  • Tactical Cloud Audit Log Analysis with DuckDB - AWS CloudTrail
    More than once, I have been in a situation where I needed to query CloudTrail logs but was working in a customer environment where they weren’t aggregated to a search interface. Another similar situation is when CloudTrail data events are disabled for cost reasons but need to be temporarily turned on for troubleshooting/audit purposes. While the CloudTrail console offers some (very) limited lookups (for management... - Source: dev.to / about 1 month ago
  • How to choose the right type of database
    DuckDB: An in-process SQL OLAP database management system. While not a traditional OLAP database, DuckDB is designed to execute analytical queries efficiently, making it suitable for analytical workloads within data-intensive applications. - Source: dev.to / 4 months ago
  • SIMD-Scan: Ultra Fast In-Memory Table Scan [pdf]
    Easiest way to practically use SIMD table scan database is try out DuckDB: https://duckdb.org/. - Source: Hacker News / 4 months ago
  • 🎀 Domaine.nc data as Jupyter on Kaggle 📊
    Duckdb so we can make OLAP like queries on the data. - Source: dev.to / 7 months ago
View more

What are some alternatives?

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

DataGrip - Tool for SQL and databases

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Apache Druid - Fast column-oriented distributed data store

Hadoop - Open-source software for reliable, scalable, distributed computing

LNAV - The Log File Navigator (lnav) is an advanced log file viewer for the console.