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Oracle Database In-Memory Reviews

Vendor: Oracle
4.4 out of 5
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What is Oracle Database In-Memory?

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.

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Oracle Database In-Memory is the #4 ranked solution in Top Embedded Database Systems and #9 ranked solution in top Relational Databases. PeerSpot users give Oracle Database In-Memory an average rating of 8.8 out of 10. Oracle Database In-Memory is most commonly compared to Teradata: Oracle Database In-Memory vs Teradata. Oracle Database In-Memory is popular among the large enterprise segment, accounting for 64% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 19% of all views.
Buyer's Guide
Oracle Database In-Memory
December 2025
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Oracle Database In-Memory mindshare

Product category:
Embedded Database
As of December 2025, the mindshare of Oracle Database In-Memory in the Embedded Database category stands at 9.7%, up from 9.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Embedded Database Market Share Distribution
ProductMarket Share (%)
Oracle Database In-Memory9.7%
SQLite24.6%
Firebird SQL18.6%
Other47.1%
Embedded Database

PeerResearch reports based on Oracle Database In-Memory reviews

TypeTitleDate
CategoryEmbedded DatabaseDec 29, 2025Download
ProductReviews, tips, and advice from real usersDec 29, 2025Download
ComparisonOracle Database In-Memory vs SQLiteDec 29, 2025Download
ComparisonOracle Database In-Memory vs SAP HANADec 29, 2025Download
ComparisonOracle Database In-Memory vs Firebird SQLDec 29, 2025Download
Suggested products
TitleRatingMindshareRecommending
Teradata4.1N/A88%83 interviewsAdd to research
SQL Server4.2N/A93%272 interviewsAdd to research
 
 
Key learnings from peers
Last updated Dec 28, 2025

Valuable Features

Oracle Database In-Memory's key features include performance optimization, fast transactions, backward compatibility, efficient real-time processing, and support for analytics and mixed workloads. Valuable aspects include query response time, columnar storage, and node clustering. It enhances data processing with memory operations bypassing disk storage, and offers data compression and security. Improvements in speed, reliability, and scalability make it suitable for high-volume data environments, ensuring fast, consistent performance with efficient resource management.
  • "The benefits of data compression in Oracle Database In-Memory are great because we are using data, and it saves a lot regarding sizing."
  • "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 valuable features of Oracle Database In-Memory include its capability to bypass disk storage for faster memory operations, which is critical for transactions and analytics."

Room for Improvement

Oracle Database In-Memory requires enhancements in its pricing, installation process, and user interface. Plurals suggest security and analytics features could be developed further. Database designers face challenges with manual interventions, partition management, and optimizer instability. Improvements in scalability, integration, and AI capabilities are also desired. Users experience difficulties with system administration, feature flexibility, and cross-compatibility with other platforms. There is a need for enhanced decision support, query optimization, and technical support.
  • "The area where improvement is required the most in the product is the UI."
  • "Oracle Database In-Memory could improve by better supporting generative AI challenges, such as hallucination management."
  • "The dashboard requires some refreshment or configuration improvements."

ROI

Users reported an 80% return on investment with Oracle Database In-Memory. Despite the recurring support costs, they noted satisfactory results from a business and performance standpoint. Some did not observe cost reductions post-implementation, but immediate returns were mentioned when additional interfaces and servers were avoided. Overall, they found the return to be excellent.

Pricing

Oracle Database In-Memory is perceived as costly, with users frequently rating its pricing as high. Despite potential justifications like performance and advanced features, the solution's licensing often requires substantial investment, including annual payments. Some users mention cost reductions and support for learners, yet the expense remains significant compared to alternatives. The setup costs are less concerning, but experienced engineers are crucial. Enterprises should carefully evaluate the price against potential benefits and consider budget implications.
  • "The platform's licensing cost needs improvement."
  • "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 product is expensive."

Popular Use Cases

Organizations utilize Oracle Database In-Memory primarily for enhancing performance in analytical and reporting tasks. It accelerates query processing and improves real-time application response times in complex database environments. The technology supports various uses like banking, government projects, and data warehousing on both cloud and on-premises infrastructures. Many companies in industries such as aviation and finance employ it for its ability to handle large data sets with low latency and efficiently support multiple workloads.

Service and Support

Oracle Database In-Memory's customer service and support receive mixed feedback. Users note decreased quality over time, finding solutions independently via the support site. Regional disparities affect advanced solutions, and some experience slow or unresponsive service. High stakes yield better results, while others encounter repetitive requests for information. Despite criticism, some users praise the availability and performance, especially those closely working with Oracle, highlighting Oracle's support as a differentiator among database vendors.

Deployment

Initial setup experiences with Oracle Database In-Memory vary. Many indicate simplicity, especially in cloud environments, with quick and manageable deployments. Others discuss challenges with configurations and longer installations for on-premises versions. DBA teams often handle deployment, and possessing technical expertise is crucial. Some find it complex due to extensive configurations but manageable with experience. Cloud-based setups are seen as easier compared to on-premises, which require more preparation and resources.

Scalability

Many find Oracle Database In-Memory highly scalable, appreciating its centralized architecture. It supports large data volumes and thousands of users efficiently. The scalability scores typically range from seven to ten out of ten. Companies that use it frequently report minimal performance impacts with user growth. Some note cost challenges in scaling, especially on-premises, yet cloud deployment offers flexibility. Users commend the quick, straightforward scaling setup, and the capability to accommodate diverse business needs effectively.

Stability

Most users consider Oracle Database In-Memory to be reliable, with ratings consistently around eight to ten. They mention it as adaptable, maintained well, and ideal for high-transaction, low-latency systems. Users note minor issues, but emphasize effective patches and support. Challenges include data migration and resource needs for stability, but users generally experience efficient performance and reduced bugs in newer releases.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Oracle Database In-Memory Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise19
By reviewers
By visitors reading reviews
Company SizeCount
Small Business35
Midsize Enterprise22
Large Enterprise102
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
19%
Comms Service Provider
9%
Manufacturing Company
6%
Pharma/Biotech Company
6%
Computer Software Company
6%
Transportation Company
6%
Retailer
6%
Government
6%
Educational Organization
4%
Performing Arts
4%
Healthcare Company
4%
Outsourcing Company
3%
Legal Firm
3%
Insurance Company
3%
Energy/Utilities Company
2%
University
2%
Media Company
2%
Wholesaler/Distributor
1%
Construction Company
1%
Hospitality Company
1%
Logistics Company
1%
Marketing Services Firm
1%
Non Profit
1%
Real Estate/Law Firm
1%
Sports Company
1%
Consumer Goods Company
1%
Recreational Facilities/Services Company
1%
International Affairs Institute
1%
Renewables & Environment Company
1%

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Learn more about Oracle Database In-Memory

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 Database In-Memory customers

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Related questions

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  • 10
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Product Categories

Product Categories
Embedded Database
Relational Databases Tools

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Oracle Database In-Memory Reviews Summary
Author infoRatingReview Summary
Technical Solution Architect at Vodafone4.5I've found Oracle Database In-Memory highly effective for real-time, high-volume data processing with minimal latency, though its UI could improve and setup is intricate; overall, it's stable, scalable, and serves my use case well.
DB Architect / Consultant at Virtusa Global4.0The primary use of Oracle Database In-Memory is to enhance disk operation performance and speed up processing through memory. It features in-memory cache for real-time needs, though it could better support AI challenges like hallucination management.
Sr. Oracle Database Administrator at Shoukat Khanum Memorial Hospital4.0We recently began implementing Oracle Database In-Memory based on management's request. While setup faced network and data transfer challenges, ongoing use is stable, though I haven’t seen clear benefits or ROI yet. I rate it eight out of ten.
Senior System Analyst at Thakral4.5I use Oracle Database In-Memory mainly for core banking applications. Its Real Application Clusters enhance performance for thousands of users. The high cost and complex installation are drawbacks, but the ROI is approximately 80%, despite ongoing support costs.
Product Owner at Heineken4.5We use Oracle Database In-Memory for deploying commercial applications and secure data storage, valuing its dashboard and processing speed. However, it's pricier than Azure, and we face challenges with regional support from Oracle's team.
Principal Architect at LTIMindtree4.5No summary available
Sr Quality Engineer at Optum3.5We use Oracle Database In-Memory to create relational databases on both public and private clouds. It is simple and scalable, though it could benefit from incorporating AI-driven intelligent coding. We haven't used or considered other solutions.
Database Administrator at a government with 10,001+ employees4.5Oracle Database In-Memory significantly optimizes database performance by accelerating query processing, which enhances productivity. Its automated features meet our needs, though some manual intervention may be needed to fully realize benefits. We've achieved an 80% return on investment.