Our company uses the solution to create relational databases. We use both public and private clouds. 

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.

We use the solution for improving database reporting that previously took long hours.

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.

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 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 work as consultants, so we provide the solution to customers. It's deployed on-premises.

We write the queries using SQL Developer, and we do the synchronization.

We're using Oracle 10g and 11g.

We stream and exchange data with multiple partners and vendors using the product.

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.

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. 

I mainly use this solution for business analytics and intelligence.

We use Oracle Database In-Memory for reporting and analytics.

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 primarily use the solution as an email database.

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.