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Back in the day, when relational databases were choking on their own complexity and caching felt like an afterthought, along came Redis. It promised to be more than just a cache – a blazing-fast data structure server capable of handling anything from session management to pub/sub messaging. Quite clever, really, though one does wonder if the initial hype overstated its ability to replace everything.

In practice, Redis is fantastic at what it’s designed for: incredibly speedy access to key-value data. But scale it improperly, and you’ll quickly discover the limitations of an in-memory database. Memcached offers similar caching prowess, but Redis boasts richer data types and persistence options. Today, it’s a staple in modern stacks, powering everything from Netflix recommendations to real-time analytics—a testament to its speed, if not necessarily its all-conquering potential.

Used together with Redis

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Jobs in using Redis for but please no

data scientist

AI / ML Platform Engineer @ whatnot-inc

US | 2025-12-28 | USD 225000 - 320000 / year
Whatnot’s AI/ML Platform Engineer role promises building the infra that powers live-shopping AI—from low-latency large-model serving to distributed training on GPUs—while cohabiting with ML... read more »
AI/ML, LLM, Computer Science, Python, PostgreSQL, DynamoDB, ELK, Redis, Datadog, Grafana, Cloud Computing, AWS, Amazon SageMaker, AWS Lambda, Kinesis, S3, Amazon EC2, Kafka, Flink
chief

Manager, Product Engineering @ braze

US | 2025-12-28 | USD 153000 - 270300 / year
Braze’s Engineering Manager for the Canvas Logic and Execution team sits at the apex of a mission-critical, high-scale platform that handles billions of asynchronous jobs across multi-cloud... read more »
Marketing, Cloud Computing, CI/CD, Agile/Scrum, MongoDB, Redis, Datadog, Kubernetes, React