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Druid vs Oracle Database In-Memory comparison

 

Comparison Buyer's Guide

Executive Summary

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
7th
Average Rating
9.0
Reviews Sentiment
7.6
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
7.9
Number of Reviews
31
Ranking in other categories
Relational Databases Tools (9th)
 

Mindshare comparison

As of April 2025, in the Embedded Database category, the mindshare of Druid is 3.3%, up from 2.2% compared to the previous year. The mindshare of Oracle Database In-Memory is 8.3%, down from 15.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Embedded Database
 

Featured Reviews

Kemal Duman - PeerSpot reviewer
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…
Laksiri Bala - PeerSpot reviewer
Faster processing and improved memory operations have enhanced transaction and analytics efficiency
The valuable features of Oracle Database In-Memory ( /products/oracle-database-in-memory-reviews ) include its capability to bypass disk storage for faster memory operations, which is critical for transactions and analytics. It also offers specific memory areas, like in-memory cache, that act as intermediaries between disk and buffer cache. This feature helps organizations handle real-time memory requirements effectively.

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."
"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."
"The scalability is very good."
"The application development is very user-friendly."
"The solution's most valuable feature is its performance optimization within our hardware environment."
"Oracle Database In-Memory is a suite of features that improves performance for real-time analytics and mixed workloads."
"Security is the most valuable feature."
"The product offers high scalability."
"The scalability of the solution is very good. It's able to support large amounts of data."
 

Cons

"We face challenges with Druid in merging two or more data sources."
"The platform’s pricing needs improvement."
"The product could benefit from enhancements in its graphical user interface."
"I would like Oracle Database In-Memory to include a data replication feature."
"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."
"It would be good if Oracle could reduce downtime when transferring from non-In-Memory to In-Memory."
"Lacks sufficient integration with other tools."
"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."
 

Pricing and Cost Advice

Information not available
"The product is expensive."
"Database In-Memory is priced a bit higher than its competitors like Microsoft."
"The platform's licensing cost needs improvement."
"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 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."
"The solution's pricing is high."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
18%
Computer Software Company
11%
Manufacturing Company
8%
Government
8%
 

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 Druid?
Druid is free for us as we use the open-source version.
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...
What is your primary use case for Druid?
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 analytic...
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?
Pricing is justified by the performance and business value offered by Oracle Database In-Memory. Although slightly higher, recent reductions in cloud costs and learning opportunities, such as free ...
What needs improvement with Oracle Database In-Memory?
Oracle Database In-Memory could improve by better supporting generative AI challenges, such as hallucination management. Enhancing features like CAG augmentation and cache augmentation could signif...
 

Overview

 

Sample Customers

Information Not Available
Shanghai Customs
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