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Category: In-Memory Databases-Blog Posts
Q&A with Terry Erisman – In-Memory Computing Summit North America 2019
When and where will this year’s summit take place? The In-Memory Computing Summit North America will take place in Silicon Valley at the Hyatt San Francisco Airport, November 13th-14th. What is the theme of...
My Other Stack is RedisEdge
by Itamar Haber Video copyright: Sesame Street tl;dr The clip above is a dashboard recording that demonstrates real-time video analysis in Redis. Its code is at https://github.com/RedisGears/EdgeRealtimeVideoAnalytics and you can scroll down for more...
Redis Streams + Apache Spark Structured Streaming
by Roshan Kumar Recently, I had the honor of presenting my talk, “Redis + Structured Streaming: A Perfect Combination to Scale-out Your Continuous Applications” at the Spark+AI Summit. My interest in this topic was...
Search Benchmarking: RediSearch vs. Elasticsearch
by Keren Ouaknine Background RediSearch is a distributed full-text search and aggregation engine built as a module on top of Redis. It enables users to execute complex search queries on their Redis dataset in...
Inovonics: Choosing the Right Sensor to Work with RedisEdge for IoT Applications
by Lalit Pandit In my previous post, I gave a high-level overview of our Redis-based, industrial Internet of Things (IoT) technology at Inovonics, which is the leader in wireless networks. I will give more...
Redis Enterprise Extends Linear Scalability with 200M ops/sec @ <1msec latency on Only 40 AWS Instances
by Nail Sirazitdinov All modern consumer applications must scale easily and cost-efficiently, and for this, linear database performance is key. With our shared-nothing architecture, we’ve proven again and again that a single Redis Enterprise...
RedisTimeSeries GA – Making the 4th dimension truly immersive
by Pieter Cailliau Today we are happy to announce the general availability (GA) of RedisTimeSeries v1.0. RedisTimeSeries is a Redis module developed by Redis Labs to enhance your experience managing time series data with...
On Apache Ignite and GridGain Community Edition. Q&A with Nikita Ivanov
Q1. Who is currently using Apache Ignite for production deployments? Thousands of companies worldwide use Apache® Ignite™, which has been downloaded over four million times since it launched as an Apache Software Foundation project. GridGain®...
Vertica’s In-database Random Forest, Highly Scalable and Easy to Use
Posted on Thursday, October 25th, 2018 at 4:22 pm. Written by Elizabeth Arash Jalal Zadeh Fard authored this post. Vertica has a set of machine learning tools covering a wide spectrum of advanced data...