In-Memory Computing Planet® Blogs and Events
Kubernetes is widely discussed, and widely misunderstood. We here at MemSQL are fans of Kubernetes and the stateful services that have been added to it since its launch, and we’ve used them to build and manage MemSQL Helios. So we are taking the time to explain Kubernetes’ architecture, from the top down, to help you decide whether using Kubernetes is right for you. What is Kubernetes? Kubernetes is an open-source orchestrator originally built by Google, now owned and managed by the Cloud Native Computing Foundation (CNCF). Kubernetes is famous for extensibility and for no-downtime rolling updates. Most public and private …
The post Kubernetes 101: Architecture appeared first on MemSQL Blog.
The MEAN stack – MongoDB, Express.js, Angular.js, and Node.js – has served as a pattern for a wide variety of web development. But times have changed, and the components of the MEAN stack have failed to keep up with the times. Let’s take a look at how the MEAN stack superseded the previous stack, the LAMP stack, and at the options developers have now for delivering efficient Web applications. Introduction We reach for software stacks to simplify the endless sea of choices. The MEAN stack is one such simplification that worked very well in its time. Though the MEAN stack …
The post What’s After the MEAN Stack? appeared first on MemSQL Blog.
A recent Dresner report, the Analytical Data Infrastructure Market Study, includes MemSQL for the first time. The report shows MemSQL as the leader among full-service database providers – ahead of Google, Amazon, Microsoft, IBM, SAP, and Oracle. (A few specialty analytics products also rank highly.) The Dresner report is part of their Wisdom of Crowds series, and rates MemSQL as an Overall Leader in both major categories of the report: Customer Experience and Vendor Credibility, with a perfect Recommend score. About the Dresner Study Dresner Advisory Services is well-known for their insightful market studies on business intelligence (BI) and analytics. …
The post Dresner’s Wisdom of Crowds Report Puts MemSQL at the Top appeared first on MemSQL Blog.
Capterra describes itself as “the leading online resource for business software buyers,” boasting more than one million verified software reviews across hundreds of software categories. Those one million reviews include many positive takes on MemSQL software, including this comment from a big data manager: “Best Distributed RDBMS Ever!” Capterra is growing fast, with more than five million monthly users, and the number of verified reviews on the site nearly doubling between 2018 and mid-2019. Capterra research asserts that reviews reduce purchase cycles by more than six months. More than four in ten small and medium business (SMB) users surveyed use …
The post Capterra Captures Positive Reviews of MemSQL appeared first on MemSQL Blog.
This blog post is part of a series describing how to run an entire MemSQL cluster – which usually requires at least five servers or machine instances – on your laptop, in a Linux virtual machine (VM). That’s right – even though MemSQL is a distributed system, you can run a minimal version of MemSQL on your laptop, in a single Linux VM. We tell you how in this blog post. You also have the option of running MemSQL on your laptop in other environments – see our blog posts for Docker Desktop, Kubernetes, and Linux. You should use the …
The post Spin up a MemSQL Cluster on Vagrant in 10 Minutes appeared first on MemSQL Blog.
This blog post is part of a series describing how to run an entire MemSQL cluster – which usually requires at least five servers or machine instances – on your laptop, in a Linux virtual machine (VM). That’s right – even though MemSQL is a distributed system, you can run a minimal version of MemSQL on your laptop, in a single Linux VM. We tell you how in this blog post. You also have the option of running MemSQL on your laptop in other environments – see our blog posts for Docker Desktop, Kubernetes, and Vagrant. You should use the …
The post Spin up a MemSQL Cluster on Linux in 10 Minutes appeared first on MemSQL Blog.
A lot of a developer’s work is about transforming and aggregating data: Increasing the quantity of a product in a shopping cart Applying VAT on the price of a product Computing the price of a shopping cart Etc… Sometimes, one needs the features of a full-fledged stream processing engine, such as Hazelcast Jet, sometimes not. […]
The post An Easy Performance Improvement with EntryProcessor appeared first on Hazelcast.
This is the second part of a two-part blog post; part one is here. The recent release of MemSQL 7.0 has fast replication as one of its major features. With this release, MemSQL offers high-throughput, synchronous replication that, in most cases, only slows MemSQL’s very fast performance by about 10%, compared with asynchronous replication. This is achieved in a very high-performing, distributed, relational database. In this talk, available on YouTube, Rodrigo Gomes describes the high points as to how MemSQL achieved these results. Rodrigo Gomes is a senior engineer in MemSQL’s San Francisco office, specializing in distributed systems, transaction processing, …
The post Webinar Recap, Part 2: Building Fast Distributed Synchronous Replication at MemSQL appeared first on…
This is the first part of a two-part blog post; part two is here. The recent release of MemSQL 7.0 has fast replication as one of its major features. With this release, MemSQL offers high-throughput, synchronous replication that, in most cases, only slows MemSQL’s very fast performance by about 10%, compared with asynchronous replication. This is achieved in a very high-performing, distributed, relational database. In this talk, available on YouTube, Rodrigo Gomes describes the high points as to how MemSQL achieved these results. Rodrigo Gomes is a senior engineer in MemSQL’s San Francisco office, specializing in distributed systems, transaction processing, …
The post Webinar Recap, Part 1: Building Fast Distributed Synchronous Replication at MemSQL appeared first on MemSQL Blog.