Sr. Oracle Database Administrator at Shoukat Khanum Memorial Hospital
Real User
Top 20
Jul 25, 2025
We are working on Oracle Database In-Memory and Oracle Database Vault. We have implemented this. In our organization, we have a development team with different in-house applications, and they build scripts and other things that we deploy. They recently gave us the requirement to use Oracle Database In-Memory, so we recently started implementing it.
The primary use case for Oracle Database In-Memory ( /products/oracle-database-in-memory-reviews ) is to improve performance for disk operations and provide faster processing through memory. The technology involves using specific memory types introduced in cloud databases and is supported by Exadata boxes with a separate network for in-memory operations.
Team Lead - Oracle Technologies at a financial services firm with 5,001-10,000 employees
Consultant
Top 20
Aug 14, 2024
Our primary use case for the solution is within our on-premises environment. We do not utilize cloud services and rely on local hardware for our operations.
I use the solution as it is a major part of my applications. My core banking systems are Oracle-based, mostly. The analytics part of the core banking systems is also Oracle-based.
Database Administrator at a government with 10,001+ employees
Real User
Oct 5, 2023
The primary purpose of Oracle Database In-Memory is to optimize database performance. It accelerates query processing, which in turn speeds up operations and streamlines workflow, and ultimately enhancing productivity.
Our company has the whole banking solutions. As part of the banking solutions, we offer the bank solution. The underlying infrastructure is Oracle Database In-Memory. Some customers look for other ERP or CRM solutions. Our application team offers these solutions. We use Oracle Database In-Memory for all of our databases.
IT Consultant at a computer software company with 1,001-5,000 employees
Consultant
Jul 10, 2023
We use the solution for analytical purposes because it makes it faster to analyze processes. In-Memory also helps with reporting. My first project using the solution was for the government, and we deployed the solution on the cloud.
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.
We are developers and integrators that produce software and solutions for our customers. We have a variety of customers in different industries and we have a local platform where we develop solutions based on Oracle or SQL Server. I'm the company CEO.
Database Administrator at a energy/utilities company
Real User
Dec 9, 2019
My solution has a big database with terabytes of data and we use Database In-Memory for a lot of our data. Normally, we partition it and create big tables, but we can use In-Memory for data that we use every day or every hour. We put some partitions in In-Memory from some tables and we use that. It normally has good performance.
Senior Database Consultant at Performing Databases
Consultant
Mar 8, 2019
We are using Oracle Database In-Memory as an indirect approach to improving response times. 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". This was successful for many customers throughout 12.2 and 18c.
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...
We are working on Oracle Database In-Memory and Oracle Database Vault. We have implemented this. In our organization, we have a development team with different in-house applications, and they build scripts and other things that we deploy. They recently gave us the requirement to use Oracle Database In-Memory, so we recently started implementing it.
The primary use case for Oracle Database In-Memory ( /products/oracle-database-in-memory-reviews ) is to improve performance for disk operations and provide faster processing through memory. The technology involves using specific memory types introduced in cloud databases and is supported by Exadata boxes with a separate network for in-memory operations.
I am using Oracle Database In-Memory while working with airlines. The application is outstanding in batch processing at the airport.
We use Oracle Database In-Memory to deploy applications for commercial purposes, store data securely, and ensure efficient data processing.
Our primary use case for the solution is within our on-premises environment. We do not utilize cloud services and rely on local hardware for our operations.
We use Oracle Database In-Memory for reporting and analytics.
I use the solution as it is a major part of my applications. My core banking systems are Oracle-based, mostly. The analytics part of the core banking systems is also Oracle-based.
We stream and exchange data with multiple partners and vendors using the product.
The primary purpose of Oracle Database In-Memory is to optimize database performance. It accelerates query processing, which in turn speeds up operations and streamlines workflow, and ultimately enhancing productivity.
Our company has the whole banking solutions. As part of the banking solutions, we offer the bank solution. The underlying infrastructure is Oracle Database In-Memory. Some customers look for other ERP or CRM solutions. Our application team offers these solutions. We use Oracle Database In-Memory for all of our databases.
We use the solution for analytical purposes because it makes it faster to analyze processes. In-Memory also helps with reporting. My first project using the solution was for the government, and we deployed the solution on the cloud.
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.
We use the solution for improving database reporting that previously took long hours.
Our company uses the solution to create relational databases. We use both public and private clouds.
We are developers and integrators that produce software and solutions for our customers. We have a variety of customers in different industries and we have a local platform where we develop solutions based on Oracle or SQL Server. I'm the company CEO.
I mainly use this solution for business analytics and intelligence.
We primarily use the solution as an email database.
We primarily use the solution as a warehouse. In the front end we are using MicroStrategy, and we are using Oracle as a database.
My solution has a big database with terabytes of data and we use Database In-Memory for a lot of our data. Normally, we partition it and create big tables, but we can use In-Memory for data that we use every day or every hour. We put some partitions in In-Memory from some tables and we use that. It normally has good performance.
We are using Oracle Database In-Memory as an indirect approach to improving response times. 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". This was successful for many customers throughout 12.2 and 18c.