![Figure 2 from In-Data vs . Near-Data Processing : The Case for Processing in Resistive CAM | Semantic Scholar Figure 2 from In-Data vs . Near-Data Processing : The Case for Processing in Resistive CAM | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/64844172e6cc4a61cba9987356298a01c01a8741/4-Figure2-1.png)
Figure 2 from In-Data vs . Near-Data Processing : The Case for Processing in Resistive CAM | Semantic Scholar
![Putting Apache Spark to Use: Fast In-Memory Computing for Your Big Data Applications | Databricks Blog Putting Apache Spark to Use: Fast In-Memory Computing for Your Big Data Applications | Databricks Blog](https://www.databricks.com/sites/default/files/using-ram.png)
Putting Apache Spark to Use: Fast In-Memory Computing for Your Big Data Applications | Databricks Blog
![Offload your database data into an in-memory data grid for fast processing made easy | Red Hat Developer Offload your database data into an in-memory data grid for fast processing made easy | Red Hat Developer](https://developers.redhat.com/blog/wp-content/uploads/2017/03/Screen-Shot-2017-03-27-at-15.23.11.png)
Offload your database data into an in-memory data grid for fast processing made easy | Red Hat Developer
![An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications | Proceedings of the 2019 on Great Lakes Symposium on VLSI An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications | Proceedings of the 2019 on Great Lakes Symposium on VLSI](https://dl.acm.org/cms/asset/c21db36a-b4ed-4005-ad78-876dba418f8b/3299874.3319452.key.jpg)