Trusted by Engineering Teams Everywhere
See how companies are using Thermocline Cloud to simplify their data stack and cut costs.
Running MongoDB Atlas + Pinecone + Redis. $45K/month across 4 separate services with constant data sync issues between the document store and vector database.
Consolidated to Thermocline Cloud. Documents and vectors live in one database. Hot/cold tiering automatically manages historical training data.
Eliminated the vector sync pipeline entirely. Hybrid queries combining document filters with vector similarity run 3x faster than the previous multi-service architecture.
"Thermocline replaced our entire data stack. We deleted three services on day one."
CTO, Strongly.AI
50TB+ of sensor data on MongoDB, growing 2TB/month. Storage costs were unsustainable and queries on historical data were painfully slow.
Intelligent tiering automatically moves old sensor data to cold storage. Time travel queries enable historical analysis without maintaining separate data pipelines.
Sub-millisecond queries on recent sensor data. Cold storage queries for analytics complete in under 500ms. Storage bill dropped dramatically.
"We went from dreading our AWS bill to barely thinking about storage."
VP Engineering, A42 Labs
Product catalog with AI-powered search needed a separate vector database. Migrating away from MongoDB seemed too risky for a live commerce platform.
Connection string swap migration from MongoDB. Native $vectorSearch powers product recommendations and semantic search with no application code changes.
Zero-downtime migration completed in 4 hours. Vector search latency under 50ms. The entire engineering team was stunned by how simple it was.
"We changed one line of config and got vector search for free."
Lead Engineer, Janaru
Regulatory requirement to query historical states of financial records. Built a custom versioning system on MongoDB that ballooned to 15K lines of brittle code.
Native time travel queries replaced the entire custom versioning layer. Cold tiering handles 7+ year retention requirements at a fraction of the cost.
Eliminated 15K lines of versioning code. Point-in-time audit queries return in under 200ms. Compliance audits went from month-long ordeals to simple queries.
"Time travel queries turned a month-long compliance audit into a 10-minute query."
CTO, Dataweave
Build AI Applications on a Database That Gets It
One database for your vectors, your context, your agent memory, and your application data. Start free. Scale without limits.