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Druid vs DuckDB comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Druid
Ranking in Embedded Database
7th
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
DuckDB
Ranking in Embedded Database
6th
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2025, in the Embedded Database category, the mindshare of Druid is 14.0%, up from 2.5% compared to the previous year. The mindshare of DuckDB is 21.7%, up from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Embedded Database
 

Featured Reviews

Kemal Duman - PeerSpot reviewer
Efficiently display real-time data with optimal time series analytics
The primary use case of Druid in our organization is to display data to business units and build real-time dashboards. We are utilizing Druid on a Kubernetes cluster to showcase time-based analytics and run real-time analytics using Key Vault. It is valued for its ability to efficiently show…
AM
Highly efficient data processing, optimizes infrastructure, and offers good integrations
DuckDB is very fast. If we don't have enough memory, we can use swap. For instance, if we use a fast storage space, the system volume in Kubernetes could be a fast swap for DuckDB if we have memory limits. In our framework, DuckDB is five times faster than Spark in some cases. It has an extensive SQL dialect, many SQL Windows functions, and good integration with Polars. We can easily use SQL and Pandas framework in Python to process data.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Druid facilitates displaying real-time or near real-time data and time-based analytics to business units."
"DuckDB is very fast."
 

Cons

"We face challenges with Druid in merging two or more data sources."
"Sometimes we have memory issues that cause job failures, which we don't fully understand why, but we can rerun the jobs without problems."
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Questions from the Community

What is your experience regarding pricing and costs for Druid?
Druid is free for us as we use the open-source version.
What needs improvement with Druid?
We face challenges with Druid in merging two or more data sources. Merging or joining should be done in a more practical manner, facilitating easier combination of both real-time and batch data sou...
What is your primary use case for Druid?
The primary use case of Druid in our organization is to display data to business units and build real-time dashboards. We are utilizing Druid on a Kubernetes cluster to showcase time-based analytic...
What is your experience regarding pricing and costs for DuckDB?
We use the open-source version of DuckDB and don't have costs associated with it. There is a company that provides commercial software, but we use the open-source library, not the services.
What needs improvement with DuckDB?
Sometimes we have memory issues that cause job failures, which we don't fully understand why, but we can rerun the jobs without problems. There were also problems with binary formats in the previou...
What is your primary use case for DuckDB?
We use the concept of a feature store. We need the engine, and we use Feast as our feature store framework to build our feature store. We use the DuckDB engine as a data engine, which helps us move...
 

Comparisons

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Overview

Find out what your peers are saying about Firebird, SQLite, Oracle and others in Embedded Database. Updated: January 2025.
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