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DuckDB vs Oracle Database In-Memory comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

DuckDB
Ranking in Embedded Database
6th
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Oracle Database In-Memory
Ranking in Embedded Database
3rd
Average Rating
8.8
Reviews Sentiment
8.3
Number of Reviews
29
Ranking in other categories
Relational Databases Tools (8th)
 

Mindshare comparison

As of November 2024, in the Embedded Database category, the mindshare of DuckDB is 18.9%, up from 1.4% compared to the previous year. The mindshare of Oracle Database In-Memory is 28.2%, down from 39.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Embedded Database
 

Featured Reviews

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.
Duy AnhMai - PeerSpot reviewer
Improved data processing speeds with enhanced security and processing efficiency
We use Oracle Database In-Memory to deploy applications for commercial purposes, store data securely, and ensure efficient data processing Oracle Database In-Memory has improved data storage and processing efficiency, which is crucial for handling large amounts of data in our products and…

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."
"We can integrate it with any data sources as well."
"It efficiently handles low-code data and supports read-and-write operations for clustering."
"The scalability of the solution is very good. It's able to support large amounts of data."
"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."
"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."
"The solution's ROI is excellent."
"It accelerates query processing, which in turn speeds up operations and streamlines workflow, and ultimately enhancing productivity."
"The application development is very user-friendly."
 

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."
"We often have to find solutions on our own through the support site, so there's room for improvement in this regard."
"The high cost of the product is an area of concern where improvements are required."
"The pricing could be improved. It would ideal if it was more reasonable."
"The solution is quite expensive."
"They should improve the solution's scalability for large databases."
"It would be good if Oracle could reduce downtime when transferring from non-In-Memory to In-Memory."
"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 platform’s pricing needs improvement."
 

Pricing and Cost Advice

Information not available
"The pricing is pretty good so I rate it an eight out of ten."
"It's quite costly and it comes with a fixed price."
"The product is expensive."
"The platform's licensing cost needs improvement."
"The solution's pricing is high."
"Oracle Database In-Memory 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."
"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
No data available
Financial Services Firm
19%
Computer Software Company
12%
Manufacturing Company
11%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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 do you like most about Oracle Database In-Memory?
We can integrate it with any data sources as well.
What is your experience regarding pricing and costs for Oracle Database In-Memory?
Oracle Database In-Memory is very expensive. Additionally, there are extra costs for some features.
What needs improvement with Oracle Database In-Memory?
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.
 

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Overview

 

Sample Customers

Information Not Available
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