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DuckDB vs Oracle Database In-Memory 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

DuckDB
Ranking in Embedded Database
5th
Average Rating
9.0
Reviews Sentiment
6.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Oracle Database In-Memory
Ranking in Embedded Database
4th
Average Rating
8.8
Reviews Sentiment
7.1
Number of Reviews
33
Ranking in other categories
Relational Databases Tools (11th)
 

Mindshare comparison

As of April 2026, in the Embedded Database category, the mindshare of DuckDB is 12.1%, up from 11.8% compared to the previous year. The mindshare of Oracle Database In-Memory is 11.2%, up from 8.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Embedded Database Mindshare Distribution
ProductMindshare (%)
Oracle Database In-Memory11.2%
DuckDB12.1%
Other76.7%
Embedded Database
 

Featured Reviews

AM
Head of Data Science center of excellence at Ameriabank CJSC
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.
Hosney Osman - PeerSpot reviewer
Technical Solution Architect at Vodafone
Real-time analytics have transformed response times and support huge data volumes with compression
I do not have any comment related to the improvement of the solution; for sure, it needs improvement, but for my use cases, it is very sufficient, and I think for the biggest companies, it needs a very powerful infrastructure. The area where improvement is required the most in the product is the UI. The problem with the UI is that it is not complex for understanding, but it needs some training to know what each button does, how it works, and the many variables needed.

Quotes from Members

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

Pros

"DuckDB is very fast."
"The product offers high scalability."
"It accelerates query processing, which in turn speeds up operations and streamlines workflow, and ultimately enhancing productivity."
"The solution is very fast."
"We use the tool for real-time data transfer for risk management purposes. In a trading system, conversions happen fast. We use the product to handle fast transactions with low latency."
"We can provide a high standard with this solution to our customers by using such products."
"The on-premise version is stable."
"The most valuable feature of Database In-Memory is that it's really fast."
"We find the dashboard and the speed of data processing very valuable in Oracle Database In-Memory."
 

Cons

"Sometimes we have memory issues that cause job failures, which we don't fully understand why, but we can rerun the jobs without problems."
"It would be good if Oracle could reduce downtime when transferring from non-In-Memory to In-Memory."
"We often have to find solutions on our own through the support site, so there's room for improvement in this regard."
"The query optimization and backup features should be added."
"I would like Oracle Database In-Memory to include a data replication feature."
"Technical support is useful with the My Oracle Support website. But when I have to open a service request, I have to find a solution on my own because technical support usually doesn't understand my problem or they always ask for the same logs, same questions, and I ultimately waste my time."
"Technical support is below our expectations currently. It could be improved."
"Oracle should include column store or advanced query optimization so a database can be optimized by enabling analytic queries to run faster."
"It's good and it functions, but it's not the easiest add-on to Database to work with."
 

Pricing and Cost Advice

Information not available
"The pricing is pretty good so I rate it an eight out of ten."
"The solution's pricing is high."
"The product is expensive."
"There is a need to make a yearly payment towards the licensing costs, after which there is any to pay towards the support cost attached to the solution."
"It's quite costly and it comes with a fixed price."
"The platform's licensing cost needs improvement."
"Oracle Database In-Memory is expensive."
"I rate the pricing a zero out of ten because Database In-Memory is too costly."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
9%
Comms Service Provider
9%
Government
8%
Financial Services Firm
15%
Comms Service Provider
9%
Marketing Services Firm
8%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise23
 

Questions from the Community

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...
What needs improvement with Oracle Database In-Memory?
I do not have any comment related to the improvement of the solution; for sure, it needs improvement, but for my use cases, it is very sufficient, and I think for the biggest companies, it needs a ...
What is your primary use case for Oracle Database In-Memory?
The major use case for Oracle Database In-Memory is real-time applications that need a fast response between the application and the database directly without any latency.
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
Shanghai Customs
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