Oracle Berkeley DB vs Oracle Database In-Memory comparison

Why PeerSpot?

Oracle Berkeley DB and Oracle Database In-Memory are both solutions in the Embedded Database category. Oracle Berkeley DB is ranked #9, while Oracle Database In-Memory is ranked #2 with an average rating of 8.6. Oracle Berkeley DB holds a 5.8% mindshare in EDS, compared to Oracle Database In-Memory’s 11.9% mindshare. Additionally, 66% of Oracle Berkeley DB users are willing to recommend the solution, compared to 100% of Oracle Database In-Memory users who would recommend it.

Oracle Berkeley DB

Read 5 Oracle Berkeley DB reviews

1,536 Views
584 Comparison Views

66% willing to recommend

Oracle Database In-Memory

Read 33 Oracle Database In-Memory reviews

3,610 Views
1,444 Comparison Views

100% willing to recommend

Oracle Berkeley DB

Oracle Database In-Memory

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 4, 2025

Oracle Berkeley DB and Oracle Database In-Memory are distinct in their offerings, covering diverse database management roles. Oracle Database In-Memory holds an advantage with its superior processing capabilities, catering to businesses focused on high performance.

Features: Oracle Berkeley DB features a lightweight architecture with key functionalities including high availability, data replication, and ACID transactions, beneficial for resource-efficient environments. Oracle Database In-Memory bolsters rapid data analytics, robust transaction processing, and supports columnar data formats for accelerated analytics.

Room for Improvement: Oracle Berkeley DB could enhance its scalability and integrate more advanced analytics. Oracle Database In-Memory might benefit from simplifying its deployment process and reducing costs to improve accessibility for smaller enterprises.

Ease of Deployment and Customer Service: Oracle Berkeley DB offers straightforward deployment, ideal for developers seeking simple solutions. Oracle Database In-Memory demands a more comprehensive setup, supported by robust customer service for handling complex configurations.

Pricing and ROI: Oracle Berkeley DB is cost-effective, providing good ROI for projects with limited budgets. Oracle Database In-Memory incurs higher upfront costs but delivers substantial returns for demanding data handling and analytical capabilities, making it a long-term strategic choice.

To learn more, read our detailed Oracle Berkeley DB vs. Oracle Database In-Memory Report (Updated: September 2026).

Buyer's Guide

Oracle Berkeley DB vs. Oracle Database In-Memory

September 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

Oracle Berkeley DB

Ranking in Embedded Database

9th

Average Rating

7.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Non-Relational Databases (2nd)

Oracle Database In-Memory

Ranking in Embedded Database

2nd

Average Rating

8.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Relational Databases Tools (12th)

Mindshare comparison

As of September 2026, in the Embedded Database category, the mindshare of Oracle Berkeley DB is 5.8%, up from 4.1% compared to the previous year. The mindshare of Oracle Database In-Memory is 11.9%, up from 10.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Embedded Database Mindshare Distribution
Product	Mindshare (%)
Oracle Database In-Memory	11.9%
Oracle Berkeley DB	5.8%
Other	82.3%

Embedded Database

Featured Reviews

Emad Mokhatab

Solution & Software System Architect at Shaparak

Easy to integrate and manage the setup phase

One of the things that I want to see in Oracle Berkeley DB is a driver for reactive programming. I think the tool's official driver for reactive programming, especially for Java, is the thing that Oracle needs to be more agile in, specifically in those areas of programming that other products are currently going into. Other tools have become more innovative in many areas. I know that Oracle has many responsibilities in maintaining the situation with the current projects and so on. I think it would be very cool if Oracle could make improvements to its projects, as it can help me with my current projects. One reason why I don't choose Oracle Berkeley DB is because we want to go for reactive programming, along with Project Reactor from Spring, but we don't have the official driver for it.

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.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"We always had predictability, and by using a custom-built data service layer with plugins, it provided us a lot of scalability, fast turnaround for our fast-moving business requirement and huge data."

"This product helped us to develop a performance-critical DB backend module in the healthcare domain."

"The product meets all the essential business requirements."

"The tool's performance is good, and I don't have any problems with it."

"As a key/value store, Oracle BDB is simple to use, and it provides ACID transactions for companies that cannot afford eventual consistency."

"We are using Oracle Database In-Memory as an indirect approach to improving response times, and in mixed-workload environments, we use the In-Memory column store to support OLAP-type queries without harming the latency-critical OLTP operations the systems earn money with."

"The scalability of the solution is very good, and it's able to support large amounts of data once the architecture is in place."

"The solution's most valuable feature is its performance optimization within our hardware environment."

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

"The scalability is very good."

"Database In-Memory, to me, is the most compelling reason to go to Oracle 12c, release 1."

"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."

More Oracle Database In-Memory pros

Cons

"The product's interface could be more intuitive and user-friendly."

"There were some mid-term small releases that caused database crashes, but this was later fixed."

"I think the tool's official driver for reactive programming, especially for Java, is the thing that Oracle needs to be more agile in, specifically in those areas of programming that other products are currently going into."

"Memory usage becomes a problem when the number of entries stored within the key/value store are quite high (hundreds of millions)."

"Environment corruption is a common problem found when a DB environment is used by more than one process on a machine at a time."

"The dashboard requires some refreshment or configuration improvements."

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

"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."

"They should improve the solution's scalability for large databases."

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

"The product could be more economical."

"You need to have platinum service to get good support. Otherwise, you'll have to struggle a bit."

"Additionally, once we put data into Oracle, it's very hard to move it out to another solution, so we have to stay with Oracle."

More Oracle Database In-Memory cons

Pricing and Cost Advice

"There is a need to pay for the licenses and features of the tool."

"I rate the product's pricing a five out of ten."

"Oracle Database In-Memory 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 platform's licensing cost needs improvement."

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

"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."

More Oracle Database In-Memory pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Educational Organization

11%

Outsourcing Company

10%

University

10%

Financial Services Firm

12%

Comms Service Provider

11%

Outsourcing Company

Construction 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

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What is your experience regarding pricing and costs for Oracle Database In-Memory?

The pricing for Oracle Database In-Memory is more affordable.

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What needs improvement with Oracle Database In-Memory?

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What is your primary use case for Oracle Database In-Memory?

The major use case for Oracle Database In-Memory is real-time applications that need a fast response between the application and the database directly without any latency.

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Comparisons

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Compared 14% of the time

DuckDB vs Oracle Berkeley DB

Compared 9% of the time

InterSystems Caché vs Oracle Berkeley DB

Compared 7% of the time

Claris FileMaker vs Oracle Berkeley DB

Compared 7% of the time

Adabas vs Oracle Berkeley DB

Compared 5% of the time

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SAP HANA vs Oracle Database In-Memory

Compared 11% of the time

SQL Server vs Oracle Database In-Memory

Compared 9% of the time

Oracle Database vs Oracle Database In-Memory

Compared 6% of the time

IBM Db2 Database vs Oracle Database In-Memory

Compared 5% 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

August 2026

Download Oracle Berkeley DB product report

Buyer's Guide

Oracle Database In-Memory

September 2026

Download Oracle Database In-Memory product report

Also Known As

Berkeley DB

No data available

Overview

Oracle Berkeley DB is an embedded database known for high performance and scalability, suitable for applications requiring efficient data management. It supports a wide range of platforms, making it a versatile choice for developers.

Designed for high availability and transactional integrity, Oracle Berkeley DB offers a lightweight, fast storage engine. Its flexibility allows for custom implementations across multiple languages, enhancing its utility in embedded systems. With capabilities like ACID transactions, it assures data consistency and durability. Its minimal footprint and low latency make it ideal for applications where speed is critical, efficiently handling both simple and complex data management tasks.

What are the most important features of Oracle Berkeley DB?

ACID Compliance: Ensures reliable transactions and data integrity.
Scalability: Effectively handles large volumes of data.
Multiple API Support: Provides flexibility with C, C++, Java, and other languages.
High Availability: Offers replication for uninterrupted data access.
Low Latency: Optimizes speed for rapid data retrieval and storage.

What benefits or ROI should users look for in reviews?

Reduced Operational Costs: Efficient resource utilization minimizes expenses.
Performance Gains: Enhanced processing speeds improve application response time.
Flexibility in Deployment: Supports diverse environments and platforms.
Reliability: Steady performance under heavy workloads ensures consistent service delivery.
Enhanced Data Management: Robust features streamline data handling processes.

In telecommunications, financial services, and retail industries, Oracle Berkeley DB is implemented to support high-transaction applications where reliability and speed are critical. Its adaptability allows seamless integration, catering to the specific data management needs of these industries.

Oracle

Oracle Database In-Memory enhances performance for analytics and data warehousing, addressing large data volumes with real-time processing and advanced transaction capabilities. Its columnar storage accelerates analytic queries, with stability supporting deployment across diverse scales.

Oracle Database In-Memory provides an efficient platform for mixed-workload environments, optimizing performance and accelerating query processing. Its ability to handle OLAP queries without impacting latency-critical OLTP operations aids real-time data transfer, analytics, and reporting. Users across different industries implement it for business intelligence, data transactions, and decision-making, utilizing both on-premises and cloud platforms for applications such as banking and commerce. Despite its benefits, users cite needs for improved interface, better stability, and enhanced AI capabilities. Security, integration, and technical support remain critical considerations.

What are the key features of Oracle Database In-Memory?

Enhanced Performance: Boosts analytics and data warehousing efficiency.
Advanced Security: Offers robust options like Database Vault.
Real-Time Processing: Ensures efficient data handling.
Columnar Storage: Speeds up analytic query processing.
Scalability: Supports deployment across large databases.

What benefits or ROI should users expect from Oracle Database In-Memory?

Increased Efficiency: Accelerates query processing and data management.
Improved Stability: Reliable for diverse scales and workloads.
Real-Time Insights: Facilitates immediate data analysis and decision-making.
Cost Efficiency: Potential savings on data process optimization.
Scalability: Easily supports growth and expanding data needs.

In industries like banking, Oracle Database In-Memory is pivotal for enhancing transaction processing and analytics, offering improved security and real-time data management. Businesses in commercial sectors leverage it for decision support, employing both on-premises and cloud solutions, facilitating seamless data operation and strategic advantage.

Oracle

Sample Customers

Safe Water Kenya

Shanghai Customs

Buyer's Guide

Oracle Berkeley DB vs. Oracle Database In-Memory

September 2026

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