
ClickHouse
Apache Kafka
Apache Spark
Apache Arrow
Apache Parquet
Amazon Redshift
Google BigQuery
DuckDB is an in-process SQL OLAP database management system

Foam
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Which is more popular?
Based on our record, DuckDB seems to be more popular. It has been mentioned 50 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | duckdb.org | github.surf |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


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Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
DuckDB An Embeddable Analytical Database
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using DuckDB and GitHub Surf. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


That search eventually led me to DuckDB, and it turned out to be surprisingly close to what I had in mind. - Source: dev.to / about 24 hours ago
Credit where it's due, incidentally: none of that fencing is our invention. DuckDB ships every one of those controls as first-class configuration, and lock_configuration in particular is the sort of thing you only build if you've thought... - Source: dev.to / 5 days ago
Lawless-waf is a small web app and local API that reads your archived Azure WAF logs, whether they come from Front Door or Application Gateway, straight out of the storage account and runs the analysis with DuckDB on your own machine. No... - Source: dev.to / 30 days ago
Tracking GitHub Surf since Mar 2021.
When comparing DuckDB and GitHub Surf, you can also consider the following products.

ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.
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Personal knowledge management and sharing on VSCode & GitHub
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Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
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Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
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Apache Arrow is a cross-language development platform for in-memory data.
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Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
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