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.
| Product | Market Share (%) |
|---|---|
| Oracle Database In-Memory | 9.1% |
| SQLite | 29.5% |
| Firebird SQL | 22.7% |
| Other | 38.7% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Embedded Database | Aug 27, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Aug 27, 2025 | Download |
| Comparison | Oracle Database In-Memory vs SQLite | Aug 27, 2025 | Download |
| Comparison | Oracle Database In-Memory vs Firebird SQL | Aug 27, 2025 | Download |
| Comparison | Oracle Database In-Memory vs SAP HANA | Aug 27, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| SQL Server | 4.2 | N/A | 93% | 269 interviewsAdd to research |
| Teradata | 4.1 | N/A | 87% | 76 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 37 |
| Midsize Enterprise | 22 |
| Large Enterprise | 121 |
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
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| Author info | Rating | Review Summary |
|---|---|---|
| DB Architect / Consultant at Virtusa Global | 4.0 | The 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. |
| Product Owner at Heineken | 4.5 | We 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. |
| Sr. Oracle Database Administrator at Shoukat Khanum Memorial Hospital | 4.0 | We 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 Thakral | 4.5 | I 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. |
| Database Administrator at a government with 10,001+ employees | 4.5 | Oracle 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. |
| Solutions Architect at LTI - Larsen & Toubro Infotech | 4.5 | No summary available |
| Sr Quality Engineer at Optum | 3.5 | We 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. |
| IT Consultant at a computer software company with 1,001-5,000 employees | 5.0 | I use Oracle Database In-Memory for analytics and reporting, appreciating its backward compatibility. Transitioning from non-In-Memory takes time but avoids code changes. Reducing downtime would improve the process. Microsoft's scalability is inferior, and my deployment was cloud-based. |
