Convex vs Pinecone

Convex

Pinecone

Convex · 18 features

• Actions — Non-deterministic functions for external I/O (fetch, AI APIs, email). Cannot rea…
• Authentication — Convex Auth (built-in) or BYO provider (Clerk, Auth0, Kinde, WorkOS). ID tokens …
• Convex Agents — AI agent framework with durable memory, threads, tool use. Works with OpenAI / A…
• Convex Auth — First-party auth library: passwords, magic links, OAuth, phone — stored in your …
• Convex Components — Reusable backend modules (rate limiter, workflow, aggregate, action-retrier, etc…
• Cron Jobs — Recurring schedules defined in convex/crons.ts. UTC, cron-style patterns.
• Durable Workflows — Long-running multi-step workflows with retries and at-least-once guarantees.
• Exception Reporting — Auto-capture errors to Sentry, Axiom, Datadog.
• File Storage — Upload/download via storage API. Returns storage IDs referenced in documents.
• Full-Text Search — BM25 search index on table fields. withSearchIndex query helper.
• HTTP Actions — Expose public HTTP endpoints for webhooks, OAuth callbacks, third-party integrat…
• Log Streams — Stream function logs to Axiom, Datadog, Sentry. Pro+.
• Mutations — Transactional write functions. All reads + writes in one mutation are ACID; conf…
• Preview Deployments — Every Git branch gets its own isolated deployment. Integrates with Vercel/Netlif…
• Queries — Deterministic read-only TS functions. Automatically cached and re-run when under…
• Real-Time Subscriptions — useQuery auto-subscribes; server invalidates when data a query read changes. No …
• Scheduler — schedule.after / schedule.at — enqueue functions to run later. Durable, survives…
• Vector Search — Native vector index on tables. withIndex + filter fields. Up to 4096 dims.

Pinecone · 13 features

• Backups + PITR — Automated + manual backups.
• HIPAA Eligible — BAA available via add-on.
• Metadata Filtering — Filter vectors on metadata at query time.
• Monitoring — Metrics endpoint, export to Datadog/Prometheus.
• Namespaces — Multi-tenancy inside an index. Isolate vectors per customer.
• Pinecone Assistant — RAG-as-a-service: upload docs → get a ready chat endpoint.
• Pinecone Inference — Hosted embedding models (multilingual-e5, llama-text-embed-v2, etc.) inside data…
• Pod-Based Indexes — Dedicated pods (p1, s1, p2) for consistent low-latency workloads.
• Private Networking — AWS PrivateLink / VPC peering on Enterprise.
• RBAC — Per-project + per-API-key roles.
• Rerank (Cohere-backed) — Optional reranker on top of vector search.
• Serverless Indexes — Pay per use. No provisioning. Auto-scales.
• Sparse-Dense Vectors — Hybrid search: sparse (keyword) + dense (semantic) together.