Category: Industry Trends

Feed: MemSQL Blog. Author: Rick Negrin. There is a trend in industry which says that modern applications need to be built on top of one or more special-purpose databases. That every application benefits from using the best-of-breed technology for each requirement. And that the plethora of special-purpose options available from certain cloud providers is reasonable to manage. That’s all BUNK. The reality is that navigating the choices, figuring out how to use them effectively, and dealing with the ETL and inevitable data sprawl, is so difficult that the pain far outweighs any technical advantage you might get. In the vast ... Read More

Feed: Redis Labs. Author: Sheryl Sage. (As organizations look to modernize their applications, many are turning to a microservices architecture to deconstruct their legacy apps into collections of loosely coupled services. This profound change inspired us to reach out to Redis Labs customers in various stages of this journey to microservice architectures. We will be telling their microservices stories in a series of blog posts in the coming weeks.)When Mutualink looked to modernize its Interoperable Response and Preparedness Platform (IRAPP), the company’s IT team turned to a microservices architecture to enable dozens of technology components to work seamlessly together. That’s ... Read More

Feed: Redis Labs. Author: Sheryl Sage. The data layer is one of the first things to consider when moving to a microservices architecture. That’s because in a microservices architecture, each service manages its own data and is responsible for its own private data store. Understanding the role of the database in each service is critical. Depending on the service, for example, database could be the single source of truth, a temporary store, or something in between. Kyle DavisLoris CroThat’s one of the most important concepts in our new free e-book: Redis Microservices for Dummies. Authors—and Redis Labs developer evangelists—Kyle Davis and ... Read More

Feed: Clustrix Blog. Author: Shane Johnson. In the twenties, the 2020s that is, what separates a modern application from the others?A modern application runs in the cloud (of course!) and enriches standard transactions with real-time analytics to create an insightful experience. This should come as no surprise. As customers, we continuously expect more from businesses when it comes to the value of interacting with them online. To address modern application requirements, today’s database needs both smart transactions and a cloud-native architecture. Smart transactions What’s a smart transaction you say? Let’s start with a few examples. Displaying a day’s flights is ... Read More

Feed: Clustrix Blog. Author: MariaDB Documentation Team. MariaDB Platform X4 provides a single database stack that delivers cloud-native storage and smart transactions on a single platform. Platform X4 incorporates MariaDB Enterprise Server 10.4, MariaDB MaxScale 2.4, and MariaDB ColumnStore 1.4.MariaDB Enterprise Server, currently version 10.4.11-5, is a 100% Open Source modern SQL database that extends the capabilities of the widely-deployed MariaDB Community Server with advanced enterprise-focused features, optimized builds, and a predictable release schedule. Available: Deployment instructions MariaDB ColumnStore, a columnar storage engine has long been available as a custom fork of MariaDB Server, delivering analytical processing (OLAP) capabilities, and ... Read More

Feed: Redis Labs. Author: Kyle Davis. This blog post was adapted from our new e-book, “Redis Microservices for Dummies” by Kyle Davis with Loris Cro. The excerpt was originally published on The New Stack on December 20, 2019. Download the complete e-book here.Many of today’s widely used database systems were developed in an era where a company adopted a single database across the entire enterprise. This single database system would store and run all the functions of the enterprise in one place. You can probably picture it: a room full of refrigerator-sized machines, many sporting oversize reel-to-reel tape drives.But Redis ... Read More

Feed: MemSQL Blog. Author: Floyd Smith. As interest in MemSQL increases, we get many questions about how MemSQL works, how to get started with it, and more. Performance reviews website G2.com has a MemSQL Q&A section where potential customers can ask questions. Here are some of the questions we hear most often – with answers – lightly edited, for context and clarity. Q. What is the advantage of MemSQL over other distributed databases? A. Compared to relational databases – those which support SQL – we believe that MemSQL is the fastest, most efficient SQL database. MemSQL features full, linear scalability, ... Read More

Feed: Blog – ArangoDB. Author: Bogdan Udubasa. Nothing performs faster than arangoimport and arangorestore for bulk loading or massive inserts into ArangoDB. However, if you need to do additional processing on each row inserted, this blog will help with that type of functionality. If the data source is a streaming solution (such as Kafka, Spark, Flink, etc), where there is a need to transform data before inserting into ArangoDB, this solution will provide insight into that scenario as well. Let’s delve into the specifics. ArangoDB is version v3.6, and we will assume that it has already been installed (I am ... Read More

Feed: MemSQL Blog. Author: Floyd Smith. MemSQL is garnering a lot of positive attention on business solutions review site G2.com (formerly known as G2 Crowd). Since our look at the site last July, dozens of new reviews have been posted, citing MemSQL’s speed, high capacity, and SQL compatibility, among other features. However, the most recent review was in December; now, some lucky MemSQL user has the chance to register the first comment of the new year. (Also, as most would say, of the new decade, though – as xkcd points out – this is a matter of some controversy.) G2.com ... Read More

Feed: Redis Labs. Author: Kyle Davis. For many applications there exists a database and a cache. Each time data is needed from the database, the application has to do a short choreographed dance:Ask the cache for the data.If the cache doesn’t have the data, ask for the data from the database.Take that data from the database and populate it into the cache.Get a reply from the cache. Slow databases sow complexityThis dance adds significant complications in terms of application logic, connections between multiple services, and multiple potential points of failure. Why is this dance necessary? Simply put, to make up for the ... Read More