Lo-Dash VS Redis ™
Compare Lo-Dash VS Redis and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
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Lo-Dash
jQuery
React Native
Babel
Composer
OpenSSL
Raven.js
Underscore.js
Redis
MongoDB
ArangoDB
Apache Cassandra
PostgreSQL
neo4j
memcached
CouchBase
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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Based on our record, Redis should be more popular than Lo-Dash. It has been mentiond 183 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.
Lodash.js is like the Swiss Army knife for JavaScript developers. Need to manipulate data structures or dabble in functional programming? Lodash is here to save the day with its arsenal of utilities. It's all about making your code cleaner and your life easier, which is probably why big guns like Google and Airbnb have it in their toolkit. - Source: dev.to / about 1 month ago
Lodash - utility library enabling things like deep object comparison that aren't easy to do with javascript out of the box. docs. - Source: dev.to / about 1 month ago
Lodash is a widely used JavaScript utility library that provides a plethora of functions to simplify common programming tasks. From manipulating arrays and objects to handling edge cases and implementing functional programming paradigms, Lodash offers a comprehensive toolkit for JavaScript developers. In this beginner's guide, we'll learn how to get started with Lodash and leverage its functionality to write... - Source: dev.to / about 2 months ago
If you want even more sophisticated equality checks like deep comparisons, there's the: lodash.iseQual library that'll do this for you out of the box. At least now you do have a bit of clarity on what's happening under the hood, so there's no harm in using a library. - Source: dev.to / 3 months ago
Lodash is awesome! It’s a JavaScript library that helps you do many things with data. You can use Lodash to manipulate arrays, objects, JavaScript strings, numbers, and more. It’s easy to get Lodash in your project. You can use npm or a CDN to install and import it. Here’s how:. - Source: dev.to / 3 months 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 / 24 days ago
Redis - real time data storage with different data structures in a cache. - Source: dev.to / 25 days 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 / about 1 month ago
Follow the steps below to install Redis:. - Source: dev.to / about 2 months ago
Redis: An open-source, in-memory data structure store supporting various data types. It offers persistence, replication, and clustering, making it ideal for more complex caching requirements and session storage. - Source: dev.to / 2 months ago
jQuery - The Write Less, Do More, JavaScript Library.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
React Native - A framework for building native apps with React
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Babel - Babel is a compiler for writing next generation JavaScript.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.