Built for Every Workload
From AI-powered apps to enterprise compliance, Thermocline handles it all in one database.
Compliance Without Complexity
Time Travel Auditing
Query your data as it existed on any date. Built-in audit trails without a separate system. Meet SOX, HIPAA, and GDPR requirements with native point-in-time queries.
70% Cost Reduction
Automatic tiered storage moves cold compliance data to S3 Parquet. Keep 7 years of records at a fraction of the cost. Hot tier only holds what you actively query.
Point-in-Time Recovery
WAL-based PITR to any LSN or timestamp. Recover to the exact second before an incident. No more relying on periodic snapshots.
We replaced our audit database, compliance archive, and point-in-time recovery system with a single Thermocline cluster.
Multi-Tenancy That Just Works
Built-in Tenant Isolation
Database-per-tenant, collection-per-tenant, or shared collections with row-level security. Choose the right isolation model for each customer tier.
Per-Tenant Quotas
Set storage limits, QPS caps, connection limits, and vector index quotas per tenant. Enforce limits at the database level, not your application layer.
Tenant-Aware Vector Search
Isolated vector indexes per tenant or shared indexes with automatic pre-filtering. Your enterprise customers get dedicated search, your free tier shares efficiently.
Stop building tenant routing in your application layer. Thermocline handles isolation, quotas, and security at the database level.
One Database for Your Entire AI Stack
Vectors + Documents Together
Store documents and their embeddings in the same database. No separate Pinecone, no sync jobs, no consistency nightmares. Query with MongoDB's familiar syntax.
Change Stream Pipelines
Change streams trigger embedding updates automatically when documents are inserted or modified. Your vector index stays in sync without external orchestration.
Billion-Scale Search
HNSW for in-memory speed (<50ms), DiskANN for billion-vector scale. Hot vectors in memory, cold vectors on disk - searched transparently.
We eliminated Pinecone, our embedding sync job, and 3,000 lines of glue code. Everything runs in Thermocline now.
Petabyte Scale Without Petabyte Costs
Automatic Archival
Configure time-based policies and watch data flow from NVMe to SSD to S3 automatically. Query across all tiers in a single pipeline. No application changes.
Eliminate Your Data Warehouse
Cold data stored as Apache Parquet - the same format Snowflake and BigQuery use internally. Run analytical aggregations directly on cold data without ETL.
Unbeatable Economics
10TB on MongoDB Atlas: ~$35,000/mo. 10TB on Thermocline Cloud: ~$4,000/mo. At 100TB the gap widens to $350K vs $28K.
We consolidated our MongoDB cluster, Snowflake warehouse, and S3 archive into one Thermocline deployment. Our monthly bill dropped 80%.
Ship Full-Stack Apps Without a Backend
Auto-Generated REST API
Every collection gets instant REST endpoints with OpenAPI specs. Build a complete frontend app with no Express, no Fastify, no controller files. The database is your backend.
Auth & Security Built In
JWT tokens, OAuth providers, API keys, and MFA without a separate auth service. Document-Level Security enforces row-level access inside the database, not your application code.
Realtime Without Third Parties
WebSocket subscriptions for live data updates, broadcast channels for ephemeral messaging, and presence tracking. Replace Pusher or Ably with your database.
A solo developer or small team can ship a production-ready, real-time, authenticated application with nothing but a frontend and Thermocline.
AI-Native Developer Experience
MCP Server for AI Assistants
AI coding assistants in Cursor, VS Code, and other editors can query your schema, run queries, and write database code directly via Model Context Protocol. Your assistant knows your data.
Database Branching for CI/CD
O(1) copy-on-write branches for every pull request. Preview environments get isolated database copies that share storage. Merge back with conflict detection when the PR lands.
Triggers That Replace Glue Code
WAL-based triggers auto-generate embeddings on insert, fire webhooks on update, and run cron jobs on schedule. Eliminate the Lambda functions and Cloud Functions holding your stack together.
The database that understands your AI workflow. From schema-aware code generation to branch-per-PR testing to automatic embedding pipelines.
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.