Heap
Google Analytics
Mixpanel
Adobe Analytics
Smartlook
Matomo
Google Tag Manager
Hotjar
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.
HeapBased on our record, Redis seems to be a lot more popular than Heap. While we know about 190 links to Redis, we've tracked only 11 mentions of Heap. 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.
Heap.io — Automatically captures every user action in iOS or web apps. Free for up to 5,000 visits/month. - Source: dev.to / over 1 year ago
Check out Heap for React Native - https://heap.io. Source: almost 2 years ago
How heavily does the site depend on heap.io for its core functionality? Like, say Heap went under completely out of the blue (god forbid) and you had to switch to Google analytics, how much tech debt are you in? Source: almost 2 years ago
Aren't services like Heap effectively worse versions of this? On their landing page they outright list this as their value prop: > Heap collects all the data on your customers - automatically. What they click. Where they go. What they do, even when you’re not looking. All without the need for engineers. [1]: https://heap.io/. - Source: Hacker News / about 2 years ago
Author here, surprising to see this blog post of mine trending, but it has held up pretty well! Happy to answer any questions about my time at Stack Overflow. I've since moved on to Heap (https://heap.io/) and we are hiring. We're virtual first so we don't have private offices, but we have the same values about treating developers well and giving them the space they need to do deep work. We're hiring for basically... - Source: Hacker News / almost 3 years ago
We can take the previously mentioned idea of partitioning the database further by breaking up an application into multiple applications, each with its own database. In this case each application will communicate with the others via something like REST, RPC (e.g. gRPC), or a message queue (e.g. Redis, Kafka, or RabbitMQ). - Source: dev.to / 24 days ago
Redis is an open-source, in-memory key-value data store known for its speed and performance. It supports various data structures like strings, lists, sets, and hashes. - Source: dev.to / 6 days ago
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 / 16 days ago
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 / 17 days ago
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 / 28 days ago
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Adobe Analytics - Adobe Analytics is an industry-leading solution that empowers you to understand your customers as people and steer your business with customer intelligence.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
