Jotform VS Redis ™
Compare Jotform VS Redis and see what are their differences
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Jotform
Typeform
Google Forms
Survey Monkey
Paperform
Formstack
Wufoo
Qualtrics
Redis
MongoDB
ArangoDB
Apache Cassandra
memcached
neo4j
CouchBase
PostgreSQL
Jotform is a powerful online form builder that makes it easy to create robust forms and collect important data. Trusted by over 20M users worldwide, such as nonprofits, educational institutions, small businesses, and enterprises, Jotform is a gateway to gathering better information to propel your business.
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.
JotformBased on our record, Redis seems to be a lot more popular than Jotform. While we know about 218 links to Redis, we've tracked only 3 mentions of Jotform. 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.
Sure, you took down jotform.com, a legitimate website (it's still up by the way). Source: almost 3 years ago
Something akin to a fill-in-the-blank template maybe? This was all prompted by my beginning to write one on jotform.com. I began doing it and then realized that there are probably thousands of similar templates that are way better. Thanks for any help and let me know if you'd like to share resources in the near future. Source: about 3 years ago
I'm trying to import data from Jotform so the structure of the JSON can vary. Here's an example though:. Source: over 3 years ago
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 / 3 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 / 9 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 / 22 days ago
Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 22 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
Typeform - Create beautiful, next-generation online forms with Typeform, the form & survey builder that makes asking questions easy & human on any device. Try it FREE!
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Google Forms - Simple web forms from Google.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Survey Monkey - Create and publish online surveys in minutes, and view results graphically and in real time. SurveyMonkey provides free online questionnaire and survey software.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.