Redis

database, caching, in memory
Open jobs

235

Companies looking for

222

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

Additional Resources

Compare to other databases
Jobs (this month)

235

Companies with Jobs

222

Jobs in using Redis for but please no

data engineer

Rust Engineer @ cybereason

JP | 2025-12-28
Cybereason’s backend/frontend role reads like a security data engineer’s dream and a license to juggle: five-plus years of full‑stack work, Rust primacy with Go/Java/C++, and cloud-native,... read more »
AI/ML, Analytics, API, Computer Science, Rust, Go, Java, Cloud Computing, Docker, SQL, NoSQL, ELK, Datadog, Big Data, DWH, ETL/ELT, Kafka, Flink, Spark, Redis, Management, DevOps
data engineer

Senior Data Engineer @ bain-and-company

JP | 2025-12-26
Senior Data Engineer in Bain’s AIS Data Engineering within the AI, Insights & Solutions team. You’ll design, build and deploy data solutions for production-scale client ecosystems, and own the... read more »
AI/ML, Analytics, Management, Data Engineering, Data Science, Cloud Computing, Python, Scala, C, C++, Java, Go, Airflow, Beam, SQL, NoSQL, Databricks, PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, ELK, Hive, Apache HBase, Teradata, Cassandra, Redshift, AWS, Azure, GCP, Kubernetes, Terraform, DevOps, CI/CD, GitHub, Computer Science, Agile/Scrum