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 8.8. DuckDB holds a 12.6% mindshare in EDS, compared to Oracle’s 10.5% 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

785 Views
785 Comparison Views

100% willing to recommend

Oracle Database In-Memory

Read 33 Oracle Database In-Memory reviews

1,592 Views
669 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 SQLite, SAP, Firebird and others in Embedded Database.

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

Buyer's Guide

Embedded Database

January 2026

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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 (10th)

Mindshare comparison

As of February 2026, in the Embedded Database category, the mindshare of DuckDB is 12.6%, up from 11.3% compared to the previous year. The mindshare of Oracle Database In-Memory is 10.5%, up from 7.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Embedded Database Market Share Distribution
Product	Market Share (%)
Oracle Database In-Memory	10.5%
DuckDB	12.6%
Other	76.9%

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."

"The valuable features of Oracle Database In-Memory include its capability to bypass disk storage for faster memory operations, which is critical for transactions and analytics."

"We can integrate it with any data sources as well."

"The product offers high scalability."

"It efficiently handles low-code data and supports read-and-write operations for clustering."

"The most valuable feature is that Database-In-Memory is more consistent and faster than traditional databases as it requires fewer CPUs to process instructions."

"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."

"The scalability of the solution is very good. It's able to support large amounts of data."

"The application development is very user-friendly."

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."

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

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

"Oracle Database In-Memory appliance-based solutions can be restrictive for some applications, as they may require more flexibility in the database design to be tuned and sized to the customer's needs."

"The solution should move to the new way of writing software code with AI that is intelligent and learns."

"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."

"The solution is quite expensive."

"The dashboard requires some refreshment or configuration improvements."

"The query optimization and backup features should be added."

More Oracle Database In-Memory cons

Pricing and Cost Advice

Information not available

"The platform's licensing cost needs improvement."

"Oracle Database In-Memory is expensive."

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

"The product is expensive."

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

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

"The solution's pricing is high."

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

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

10%

Manufacturing Company

Comms Service Provider

Financial Services Firm

17%

Comms Service Provider

Manufacturing Company

Computer Software 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

Firebird SQL vs DuckDB

Compared 24% of the time

SAP HANA vs DuckDB

Compared 22% of the time

SQLite vs DuckDB

Compared 19% of the time

Druid vs DuckDB

Compared 14% of the time

Oracle Berkeley DB vs DuckDB

Compared 6% 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 9% of the time

Druid vs Oracle Database In-Memory

Compared 6% of the time

Progress OpenEdge RDBMS vs Oracle Database In-Memory

Compared 6% of the time

Oracle Database vs Oracle Database In-Memory

Compared 6% of the time

More Oracle Database In-Memory Competitors

Product Reports

Buyer's Guide

Embedded Database

January 2026

Download DuckDB product report

Buyer's Guide

Oracle Database In-Memory

January 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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