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 8.7. Apache holds a 4.5% mindshare in EDS, compared to Oracle’s 10.9% 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

456 Views
456 Comparison Views

100% willing to recommend

Oracle Database In-Memory

Read 33 Oracle Database In-Memory reviews

1,735 Views
729 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: 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

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 March 2026, in the Embedded Database category, the mindshare of Druid is 4.5%, up from 3.5% compared to the previous year. The mindshare of Oracle Database In-Memory is 10.9%, up from 7.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Embedded Database Mindshare Distribution
Product	Mindshare (%)
Oracle Database In-Memory	10.9%
Druid	4.5%
Other	84.6%

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."

"I find the performance features of Oracle Database In-Memory to be most beneficial."

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

"It accelerates query processing, which in turn speeds up operations and streamlines workflow, and ultimately enhancing productivity."

"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 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 have recently deployed our database on cloud with Oracle Database In-Memory; we have a single standby on cloud, and on contingency occasions, we switch over to cloud and use it for four to five months."

"The product offers high scalability."

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

More Oracle Database In-Memory pros

Cons

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

"The dashboard requires some refreshment or configuration improvements."

"It would be good if Oracle could reduce downtime when transferring from non-In-Memory to In-Memory."

"The high cost of the product is an area of concern where improvements are required."

"The product could be more economical."

"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 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."

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

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

More Oracle Database In-Memory cons

Pricing and Cost Advice

Information not available

"The product is expensive."

"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 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."

"The solution's pricing is high."

"Oracle Database In-Memory is expensive."

"The platform's licensing cost needs improvement."

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

15%

Marketing Services Firm

Comms Service Provider

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 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 55% of the time

More Druid Competitors

SQL Server vs Oracle Database In-Memory

Compared 10% of the time

SAP HANA vs Oracle Database In-Memory

Compared 10% of the time

DuckDB vs Oracle Database In-Memory

Compared 7% 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

January 2026

Download Druid product report

Buyer's Guide

Oracle Database In-Memory

February 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

Shanghai Customs

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