
Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
Rainforest API
Oxylabs
Easyparser
Amzapi
Scout API
Canopy API
Scraper API
Bright Data
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.
Rainforest APINo features have been listed yet.
Based on our record, Redis seems to be a lot more popular than Rainforest API. While we know about 237 links to Redis, we've tracked only 1 mention of Rainforest API. 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.
Why a cache server? Well, to be, a cache system is the smallest piece of software one can found everywhere. There is a reason why redis, memcached or many other projects like that are used by everybody: developers need a way to store data quick. It could be for a session, for temporary data or simply to avoid annoying the main core database. A cache service is easy to create (key/value store), and can become... - Source: dev.to / 3 months ago
Adding caching layers using services like Redis cache,. - Source: dev.to / 4 months ago
Redis works well as the queue layer for this pattern. The receiver appends events to a list or stream. Workers consume from the stream, update event status on completion, and move failed events to a dead-letter queue after exhausting retries. - Source: dev.to / 4 months ago
Bifrost supports dual-layer semantic caching with exact match and semantic similarity. Backend options include Redis for exact caching, Weaviate for vector-based semantic matching, and Qdrant as an alternative vector store. - Source: dev.to / 4 months ago
In-memory caching shared across instances. There are no sticky sessions by default (though session affinity is available on a best-effort basis). Each request might hit a different instance. If you need shared state, you need an external store like Redis or Memorystore. - Source: dev.to / 5 months ago
You idea is known as a product comparison engine. When you sign up for an Amazon referral account it's one of the options. It's also similar to the CamelCamelCamel website. You might want to start with https://rainforestapi.com/ they have a hobbyist price tier. Getting access to all the data will be a big challenge, look at the stores and see if they have a product API. Source: over 3 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Easyparser - Amazon scraping made simple: real-time product details, offers, and search as clean JSON. No IP blocks, no CAPTCHAs to manage.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Amzapi - Our amazon product API enables you to scrape product related data.