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5 Types and Classification of Database Management Systems

September 1, 2018 / GuidesFor Team

Unprocessed raw facts- that’s what data is. In order to transform these pieces of data into usable information with meaning, it must be processed. A database management system is a … Continue reading 5 Types and Classification of Database Management Systems

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Understanding Database Backup Strategies

The basic building block of any effective backup relies on knowing what we need to backup. Backup plans involve multiple strategies. Mission-critical databases on which the organization depends will require aggressive plans, and databases that are less critical will need different plans. There is no one-size-fits-all option. Databases are tough and sometimes tedious during the recovery process, so it is important to be consistent.

Building an Enterprise-Grade Database Architecture for Mission-Critical, Real-Time Applications

A new generation of applications is emerging. The speed and enormous scale these apps require has exposed challenging gaps in legacy database technologies. Aerospike has pioneered a modernized architecture that’s simple, cost-effective and that delivers speed at scale for mission-critical applications. Fill the form to download the whitepaper to learn more about this new database architecture. Aerospike has pioneered a modernized architecture that’s simple, cost-effective and that delivers speed at scale for mission-critical applications. This new architecture delivers predictable performance while using up to ten times (10x) fewer servers than most other databases. In addition, the architecture is geared to operational efficiency, both in its ease of use for application developers and system administrators. Fill up the form to download this paper to learn how this new architecture represents a best of all worlds solution for applications requiring fast transactional access to high scale data.

In-Memory Databases

Database management systems are the heart of any well-functioning software and applications. Traditionally, database systems keep the data on disk where it is non-volatile, but retrieving it from there takes time. That’s where in-memory databases (also called as main memory databases) come into play. In-memory databases are widely used for time-sensitive applications. Whether they are providing directions to a hungry user looking for the nearest pizza place or live information to a data scientist trying to gain insight and improve their corporation, fast performance is essential. In today’s world people don’t have the patience to wait for information to load, we want instantaneous results. We think, “the faster the better” when it comes to software performance. In-memory databases differ from regular database management systems because the data resides in the main memory and not on disk. When the data is stored in the main memory the access time is magnitude faster than from disk therefore increasing the response time and transaction throughput. That means faster access to the data and a higher number of transactions for the system. In-memory databases are usually used for real-time applications, big data analytics, and monitoring and detection, just to name a few. In this report, we would like to present our general analysis about in-memory database and one of its representations in market place – MemSQL to know more about how in-memory database comes from theory to real life.

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