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.
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.
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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 185 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.
Hi there! I want to show off a little feature I made using hanami, htmx and a little bit of redis + sidekiq. - Source: dev.to / 25 days ago
Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance. - Source: dev.to / 27 days ago
The page 404s for me currently and it does not seem to be archived by the wayback machine either: https://web.archive.org/web/20240000000000*/https://redis.io/news/121. - Source: Hacker News / about 2 months ago
Redis - real time data storage with different data structures in a cache. - Source: dev.to / about 2 months ago
Redis.io no longer mentions open source. They have still not changed meta description on their page. It still says it is open source ^^ view-source:https://redis.io/. - Source: Hacker News / 2 months ago
VictoriaMetrics - Cost-effective database for huge amounts of time series data
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Prometheus - An open-source systems monitoring and alerting toolkit.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
InfluxData - Scalable datastore for metrics, events, and real-time analytics.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.