{"id":12637,"date":"2020-09-22T13:29:24","date_gmt":"2020-09-22T13:29:24","guid":{"rendered":"https:\/\/www.openbusinesscouncil.org\/?p=12637"},"modified":"2021-06-07T07:57:21","modified_gmt":"2021-06-07T07:57:21","slug":"in-memory-data-grid-vs-redis-for-better-data-governance","status":"publish","type":"post","link":"https:\/\/www.footballthink.com\/in-memory-data-grid-vs-redis-for-better-data-governance\/","title":{"rendered":"In-memory Data Grid vs. Redis: For Better Data Governance"},"content":{"rendered":"
<\/p>\n
In today’s data-driven economy, businesses run the risk of losing out to the competition when they fall short of getting the best data processing solution. Depending on the type of business, companies\u2019 computing requirements may vary, but there\u2019s one thing that all businesses have in common\u2014the need for fast and powerful data processing. Real-time data is the name of the game, and not playing cold means the difference between predictive business insight and tone-deaf solutions that can alienate your customers.<\/p>\n
Technology presents business solutions today that have never been seen before, but progress comes at a cost, and that cost is increasing workloads and customer demand. The amount of data companies have to process gets larger by the day, the complexity of data remains the same, if not becoming more so. By addressing this complexity, companies can make data processing more efficient, faster, and more cost-effective. The most common solutions companies turn to are in-memory data grids like GigaSpaces<\/a> or in-memory databases like Redis<\/a>. Depending on the needs of the business, either one can be the ideal solution. There are advantages, however to choosing an in-memory data grid mainly because of its speed, reliability, and easy scalability. Before diving into the benefits and other features, it\u2018s best to first discuss the main differences of these two computing platforms.<\/p>\n Redis is an open-source distributed cache and key-value store that supports data structures like sets, hashes, strings, lists, and streams. It\u2019s an in-memory database that keeps a copy of application data in memory for storage or to offload reads from a backend system. Simplicity is one of its claims to fame, especially when it\u2019s used in conjunction with the commercial version Redis Enterprise. The simplicity and low cost of Redis can be attributed to the fact that it\u2019s written and implemented in C language, which is a common programming language for most software until today. It\u2019s also single-threaded, but the utility of this decreases as the amount of data stored and processed increases. For most companies, however, a simple cache and handling a copy of the data is sufficient. If the main goal of the platform is having your own key-value store, Redis does the job.<\/p>\nRedis: The Cache of the Day<\/strong><\/h2>\n