Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
Levitate is a mission-critical time series database that allows control over queries and storage to build a cost-effective and toil-free foundation for operational readiness.
We built Levitate from the ground up, with warehousing capabilities baked-in, to mitigate the problems faced by time series databases — of high cardinality and concurrent access while providing highly available storage, faster queries, and proactive alerting.
Levitate By Last9's answer:
Open Standards Compatible, Control Levers to Manage high Cardinality Metrics, Data Tiering to Store metrics efficiently, Proactive Alerting, Ability to Track Change Events such as Deployments, Business Events Tracking, Cost Efficient, Managed solution with SLAs, Available on AWS and GCP Marketplaces.
Levitate By Last9's answer:
Streaming Aggregation pipeline and better workflows to manage High Cardinality metrics.
Levitate By Last9's answer:
DevOps, SRE, Software Engineers, CTO, Director SRE
Levitate By Last9's answer:
Levitate By Last9's answer:
Disney+ Hotstar, Replit, Clevertap, Atlan, Probo, Dukaan, Axio.
Based on our record, Redis seems to be more popular. It has been mentiond 218 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Picture this: you've just built a snappy web app, and you're feeling pretty good about it. You've added Redis to cache frequently accessed data, and your app is flying—pages load in milliseconds, users are happy, and you're a rockstar. But then, a user updates their profile, and… oops. The app still shows their old info. Or worse, a new blog post doesn't appear on the homepage. What's going on? Welcome to the... - Source: dev.to / 2 days ago
Valkey and Redis streams are data structures that act like append-only logs with some added features. Redisson PRO, the Valkey and Redis client for Java developers, improves on this concept with its Reliable Queue feature. - Source: dev.to / 8 days ago
Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / 21 days ago
Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 21 days ago
Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / about 1 month ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
VictoriaMetrics - Fast, easy-to-use, and cost-effective time series database
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Prometheus - An open-source systems monitoring and alerting toolkit.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
InfluxData - Scalable datastore for metrics, events, and real-time analytics.