Managed Databases
Flexible, high-performance databases for AI, HPC, and large-scale applications.
Run production-grade databases without the overhead. SaladCloud offers fully managed relational, in-memory, and vector databases — optimized for AI, HPC, and large-scale applications. Get fast, scalable, and cost-efficient data access with zero infrastructure hassle.
PostgreSQL
Limitations: Best suited for structured data; scaling to extreme sizes may require specialized solutions.
MySQL
Limitations: Feature set is lighter compared to PostgreSQL; advanced querying and scaling write-heavy systems may require extra tooling.
In-Memory Databases
Ultra-fast caching and data access for real-time applications.
Designed for peak responsiveness, Salad’s in-memory key-value stores deliver lightning-fast data access for caching, ephemeral state, and high-throughput AI pipelines. Fully Redis-compatible, memory-bound, and optimized for milliseconds.
Valkey
Limitations: Data stored primarily in memory; durability depends on optional persistence modes.
Vector Databases
Similarity search and retrieval for AI-powered applications.
Power intelligent applications with purpose-built vector databases optimized for similarity search, embeddings, and real-time AI retrieval. From semantic search to billion-scale recommendation systems, SaladCloud’s vector database offerings scale with your data — fast, open-source, and ready for production.
Qdrant
Limitations: Focused on vector operations; limited support for traditional relational queries.
Milvus
Limitations: Best suited for vector and hybrid search; structured relational data needs separate handling.