DuckDB vs Oracle Database In-Memory comparison

DuckDB and Oracle are both solutions in the Embedded Database category. DuckDB is ranked #5 with an average rating of 9.0, while Oracle is ranked #4 with an average rating of 8.5. DuckDB holds a 12.1% mindshare in EDS, compared to Oracle’s 11.2% mindshare. Additionally, 100% of DuckDB users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

DuckDB

Read 1 DuckDB review

905 Views
905 Comparison Views

100% willing to recommend

Oracle Database In-Memory

Read 33 Oracle Database In-Memory reviews

2,021 Views
829 Comparison Views

100% willing to recommend

DuckDB

Oracle Database In-Memory

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between DuckDB and Oracle Database In-Memory based on real PeerSpot user reviews.

Find out what your peers are saying about SAP, SQLite, Firebird and others in Embedded Database.

To learn more, read our detailed Embedded Database Report (Updated: March 2026).

Buyer's Guide

Embedded Database

March 2026

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Helped 886,349 peers since 2012

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

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

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
Product	Mindshare (%)
Oracle Database In-Memory	11.2%
DuckDB	12.1%
Other	76.7%

Embedded Database

Featured Reviews

Aleksandr Motuzov

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.

Read full review

Hosney Osman

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.

Read full review

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."

"Oracle is the best database, but I love open-source software."

"Performance is probably the number one feature, because when we use it for OLTP, the response for the end-user is pretty fast, with website response times in micro milliseconds instead of waiting a few seconds for a page to load."

"We can provide a high standard with this solution to our customers by using such products."

"Normally, every database server uses hard disks. In-Memory has a feature, apart from their database, which is very good. When we start our server, all your data needs loading memory. We can use that. It's a very good feature. I think they added this feature in 2019. We can mount memory in the partition, create partitions in there, and create table space from that spot to share. It's a really good feature. We use it a lot."

"I've been an Oracle customer with different companies, and one of the key things that stands out for Oracle is the support, because I also work with other database vendors and that's the biggest differentiator."

"The Oracle database is easier to program and manage, and is secure."

"Oracle Database In-Memory is a suite of features that improves performance for real-time analytics and mixed workloads."

"The on-premise version is stable. We have different teams and resources for the server side, for admin, and for development. We can easily take care of all the services and applications."

More Oracle Database In-Memory pros

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."

"They should lower the price. My customers think that it's too expensive."

"The dashboard requires some refreshment or configuration improvements."

"Oracle Database In-Memory is more expensive than Azure, and the support from the Oracle team is not very good, especially since they do not have a support team in our region."

"They should lower the price. My customers think that it's too expensive."

"The area where improvement is required the most in the product is the UI."

"We use some partitions in In-Memory. We have a very large table and a low dose. It is very expensive in data to load all of them into In-Memory. It takes up more memory slots in the server, as well as a lot of RAM. We use last partitions on the table. We always need to create a script and make a schedule that can load a last partition in In-Memory. Oracle doesn't have features to do this automatically. I would like them to allow us to load last partitions, as well as other table partitions, in In-Memory. I think a good feature would do that automatically, letting you see a table, load a large partition, and monitor loading memory. It's quite a good feature."

"Oracle should include column store or advanced query optimization so a database can be optimized by enabling analytic queries to run faster."

"You need to have platinum service to get good support. Otherwise, you'll have to struggle a bit."

More Oracle Database In-Memory cons

Pricing and Cost Advice

Information not available

"It's quite costly and it comes with a fixed price."

"The pricing is pretty good so I rate it an eight out of ten."

"Database In-Memory is priced a bit higher than its competitors like Microsoft."

"I rate the pricing a zero out of ten because Database In-Memory is too costly."

"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."

"The platform's licensing cost needs improvement."

"The product is expensive."

"Oracle Database In-Memory is expensive."

More Oracle Database In-Memory pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Comms Service Provider

Government

Financial Services Firm

15%

Comms Service Provider

Marketing Services Firm

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	4
Large Enterprise	23

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.

See all answers

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...

See all answers

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...

See all answers

What do you like most about Oracle Database In-Memory?

We can integrate it with any data sources as well.

See all answers

What is your experience regarding pricing and costs for Oracle Database In-Memory?

The pricing for Oracle Database In-Memory is more affordable.

See all answers

What needs improvement with Oracle Database In-Memory?

See all answers

Comparisons

SAP HANA vs DuckDB

Compared 25% of the time

Firebird SQL vs DuckDB

Compared 24% of the time

SQLite vs DuckDB

Compared 18% of the time

Druid vs DuckDB

Compared 12% of the time

Oracle Berkeley DB vs DuckDB

Compared 8% of the time

More DuckDB Competitors

SAP HANA vs Oracle Database In-Memory

Compared 11% of the time

SQL Server vs Oracle Database In-Memory

Compared 10% of the time

Oracle Database vs Oracle Database In-Memory

Compared 6% of the time

Progress OpenEdge RDBMS vs Oracle Database In-Memory

Compared 6% of the time

MySQL vs Oracle Database In-Memory

Compared 5% of the time

More Oracle Database In-Memory Competitors

Product Reports

Buyer's Guide

Embedded Database

March 2026

Download DuckDB product report

Buyer's Guide

Oracle Database In-Memory

March 2026

Download Oracle Database In-Memory product report

Overview

DuckDB is a high-performance SQL database management system tailored for efficient querying and data analysis, suitable for embedded analytics, with a focus on simplicity and ease of integration with existing workflows, catering primarily to data science and machine learning applications.

Designed for analytical workloads, DuckDB provides an in-process SQL database engine, enabling rapid execution of complex queries in environments where traditional database management systems might struggle. Its lightweight architecture supports fast execution on single-node setups without requiring additional servers, making it ideal for embedded applications. DuckDB shines in environments where data is loaded into memory for analysis, reducing latency and ensuring seamless data processing directly within the applications used by data professionals.

What are the key features of DuckDB?

In-Process Execution: Operates within the host application for efficient data processing.
High-Performance: Optimized for analytics with fast query execution and data retrieval.
SQL Support: Extensive SQL syntax to handle complicated queries with ease.
Open Source: Freely accessible with community support and flexible licensing.
Efficiency: Uses vectorized execution to improve speed and resource use.

What benefits and ROI can be expected from DuckDB?

Cost-Effective: Reduces the need for dedicated database servers.
Scalability: Fits seamlessly into existing data workflows as needs evolve.
Flexibility: Integrates easily into different environments, enhancing data analysis capabilities.
Time Saving: Decreases query processing time, promoting faster decision-making.

DuckDB is highly relevant in industries where data-driven insights drive decision-making, including finance, healthcare, and technology sectors. Companies benefit from its ability to efficiently process data directly from CSV files, parquet files, and other data formats, enabling quick analyses that support critical business functions. DuckDB is especially popular with data scientists working in Jupyter notebooks, where its seamless integration supports robust analytical processes.

DuckDB

Oracle Database In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.

Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.

The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.

For more information on Oracle Database In-Memory, visit Oracle.com

Oracle

Sample Customers

Information Not Available

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