Druid vs Oracle Database In-Memory comparison

Apache and Oracle are both solutions in the Embedded Database category. Apache is ranked #6 with an average rating of 9.0, while Oracle is ranked #4 with an average rating of 8.8. Apache holds a 4.3% mindshare in EDS, compared to Oracle’s 9.9% mindshare. Additionally, 100% of Apache users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

Druid

Read 1 Druid review

422 Views
422 Comparison Views

100% willing to recommend

Oracle Database In-Memory

Read 33 Oracle Database In-Memory reviews

1,410 Views
606 Comparison Views

100% willing to recommend

Druid

Oracle Database In-Memory

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Druid 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: December 2025).

Buyer's Guide

Embedded Database

December 2025

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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

Druid

Ranking in Embedded Database

6th

Average Rating

9.0

Reviews Sentiment

7.6

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 January 2026, in the Embedded Database category, the mindshare of Druid is 4.3%, up from 4.1% compared to the previous year. The mindshare of Oracle Database In-Memory is 9.9%, up from 8.2% 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	9.9%
Druid	4.3%
Other	85.8%

Embedded Database

Featured Reviews

Kemal Duman

Team Lead, Data Engineering at Nesine.com

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…

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

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

"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 benefits of data compression in Oracle Database In-Memory are great because we are using data, and it saves a lot regarding sizing."

"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."

"The most valuable aspects of this solution are the fast caching and improved performance to the database"

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

"The application development is very user-friendly."

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

More Oracle Database In-Memory pros

Cons

"We face challenges with Druid in merging two or more data sources."

"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."

"Technical support is below our expectations currently. It could be improved."

"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."

"We often have to find solutions on our own through the support site, so there's room for improvement in this regard."

"Lacks sufficient integration with other tools."

"The dashboard requires some refreshment or configuration improvements."

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

More Oracle Database In-Memory cons

Pricing and Cost Advice

Information not available

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

"The solution's pricing is high."

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

"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."

More Oracle Database In-Memory pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

18%

Comms Service Provider

Pharma/Biotech 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 Druid?

Druid is free for us as we use the open-source version.

See all answers

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...

See all answers

What is your primary use case for Druid?

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

DuckDB vs Druid

Compared 59% of the time

More Druid Competitors

SAP HANA vs Oracle Database In-Memory

Compared 12% of the time

SQL Server vs Oracle Database In-Memory

Compared 10% of the time

DuckDB vs Oracle Database In-Memory

Compared 10% 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

December 2025

Download Druid product report

Buyer's Guide

Oracle Database In-Memory

January 2026

Download Oracle Database In-Memory product report

Overview

Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is important. As such, Druid is often used to power UIs where an interactive, consistent user experience is desired.

Apache

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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