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.
Based on our record, Redis seems to be a lot more popular than LinkedIn Recruiter. While we know about 190 links to Redis, we've tracked only 2 mentions of LinkedIn Recruiter. 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.
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 / 26 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 / 7 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 / 18 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 / 19 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 / 29 days ago
LinkedIn has developed special paid services with advanced features for companies that recruit a lot and often. These services provide more advanced filtering, have no limits for connections, and other options that facilitate hiring big numbers of employees. Learn more about these services on the LinkedIn Recruiter page. - Source: dev.to / over 2 years ago
LinkedIn Recruiter is backed by a mature algorithm that recognizes these things. The application quite literally recommends the optimal candidates to poach. [0]: https://business.linkedin.com/talent-solutions/recruiter. - Source: Hacker News / over 2 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
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ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
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Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
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