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jam-py VS Redis

Compare jam-py VS Redis and see what are their differences

jam-py logo jam-py

Jam.py is an event driven framework for the development of web database applications.

Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
  • jam-py Landing page
    Landing page //
    2022-04-02
  • Redis Landing page
    Landing page //
    2022-10-19

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.

jam-py videos

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Redis videos

Improve your Redis developer experience with RedisInsight, Redis Labs

More videos:

  • Review - What is Redis? | Why and When to use Redis? | Tech Primers
  • Review - Redis Enterprise Overview with Yiftach Shoolman - Redis Labs
  • Review - Redis Labs "Why NoSQL is a Safe Bet"
  • Review - Redis system design | Distributed cache System design
  • Review - What is Redis and What Does It Do?
  • Review - Redis Sorted Sets Explained

Category Popularity

0-100% (relative to jam-py and Redis)
Web Frameworks
100 100%
0% 0
Databases
0 0%
100% 100
Python Web Framework
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare jam-py and Redis

jam-py Reviews

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Redis Reviews

Are Free, Open-Source Message Queues Right For You?
A notable challenge with Redis Streams is that it doesn't natively support distributed, horizontal scaling. Also, while Redis is famous for its speed and simplicity, managing and scaling a Redis installation may be complex for some users, particularly for persistent data workloads.
Source: blog.iron.io
Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
1. Redis: I'll start with Redis which I'd like to call the "original" key/value store (after memcached) because it is the oldest and most widely used of all. Being a long-time follower of Redis, I do know it's single-threaded (and uses io-threads since 6.0) and hence it achieves lesser throughput than the other stores listed above which are multi-threaded, at least to some...
Memcached vs Redis - More Different Than You Would Expect
Remember when I wrote about how Redis was using malloc to assign memory? I lied. While Redis did use malloc at some point, these days Redis actually uses jemalloc. The reason for this is that jemalloc, while having lower peak performance has lower memory fragmentation helping to solve the framented memory issues that Redis experiences.
Top 15 Kafka Alternatives Popular In 2021
Redis is a known, open-source, in-memory data structure store that offers different data structures like lists, strings, hashes, sets, bitmaps, streams, geospatial indexes, etc. It is best utilized as a cache, memory broker, and cache. It has optional durability and inbuilt replication potential. It offers a great deal of availability through Redis Sentinel and Redis Cluster.
Comparing the new Redis6 multithreaded I/O to Elasticache & KeyDB
So there are 3 offerings by 3 companies, all compatible with eachother and based off open source Redis: Elasticache is offered as an optimized service offering of Redis; RedisLabs and Redis providing a core product and monetized offering, and KeyDB which remains a fast cutting edge (open source) superset of Redis. This blog looks specifically at performance, however there is...
Source: docs.keydb.dev

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than jam-py. While we know about 188 links to Redis, we've tracked only 8 mentions of jam-py. 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.

jam-py mentions (8)

  • Moving MS Access to Web
    As fun project, but hopefully useful to someone, I've built the service for online MS Access to sqlite3 conversion some time ago. Now I added semi automated Web Application creation based on the uploaded Access data. It really takes minutes to get the Web application up and running based on Python Jam.py. Source: almost 2 years ago
  • Anvil.works alternatives?
    You could look at https://jam-py.com. Source: over 2 years ago
  • Files getting locked, can't open file more than one time
    Nah mate, sorry to say, but you are not fully informed. I can move 100 tables Access App in one day with just clicking. The framework is called Jam.py . So, let's have a look how that actually works: Https://www.reddit.com/r/MSAccess/comments/rhls54/access_lending_library_moving_to_the_web/. Source: over 2 years ago
  • UI to make returned data look like Excel
    To move data online one can use this jam-py.com. Source: over 2 years ago
  • Guidance with creating Access Database
    I will chip in, if the admins do not mind, with suggesting to go straight on the internet with the solution. The tool is Jam.py and maybe visit this too: Jampyapplicationbuilder.com/. Source: over 2 years ago
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Redis mentions (188)

  • Getting started with Valkey using JavaScript
    Valkey is an open source alternative to Redis. It's a community-driven, Linux Foundation project created to keep the project available for use and distribution under the open source Berkeley Software Distribution (BSD) 3-clause license after the Redis license changes. - Source: dev.to / 1 day ago
  • Shades of Open Source - Understanding The Many Meanings of "Open"
    Many popular open source projects are beloved and closely tied to particular vendors. For example, web frameworks like React and Angular are associated with Meta and Google, respectively. Database software like MongoDB, Elasticsearch, and Redis are also tied to specific commercial entities but are widely used and praised for their functionality. When there is a clear driver of a project, it can offer some benefits:. - Source: dev.to / 2 days ago
  • How to Setup a Project That Can Host Up to 1000 Users for Free
    One of the most effective ways to improve the application’s performance is caching regularly accessed data. There are two leading key-value stores: Memcached and Redis. I prefer using Memcached Cloud add-on for caching because it was originally intended for it and is easier to set up, and using Redis only for background jobs. - Source: dev.to / 13 days ago
  • Hanami and HTMX - progress bar
    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 / about 1 month ago
  • What do you want to watch next? This is why I built GoodWatch.
    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 / about 1 month ago
View more

What are some alternatives?

When comparing jam-py and Redis, you can also consider the following products

Django - The Web framework for perfectionists with deadlines

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

web2py - Web2py is an open source web application framework.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

nuBuilder Forte - Low-code, open-source RAD development tool for creating web-based database applications.

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.