Weaviate vs Modal
A detailed comparison to help you choose between Weaviate and Modal.
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Verdict: Modal wins
Modal scores 4.4/5, edging out Weaviate at 4.0/5. Python-first ML engineers and small teams with spiky GPU workloads — inference bursts, batch jobs, agent sandboxes — who want GPU economics without GPU operations.
Weaviate Open-source vector database for AI applications | Modal Run AI workloads serverlessly in Python | |
|---|---|---|
| Rating | 4.0 (1 review) | 4.4 (1 review) |
| Pricing Model | freemium | freemium |
| Starting Price | Free tier available | Free tier available |
| Best For | Teams building production RAG or semantic search who want hybrid vector-plus-keyword retrieval, a self-hosting path, and a permanent free cloud tier to develop against before paying. | Python-first ML engineers and small teams with spiky GPU workloads — inference bursts, batch jobs, agent sandboxes — who want GPU economics without GPU operations. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tieropen sourceapi access | free tierapi access |
| Visit Weaviate → | Visit Modal → |
Weaviate
Pros
- + Hybrid search (vector plus keyword fusion) measurably improved top-k relevance over either pass alone on my mixed-length document corpus, and fusion weighting is tunable per query.
- + The June 2026 free cloud tier is a real dev environment — 100,000 objects, 3 tenants, 2,000 embedding requests/day, no credit card — spun up in minutes in my testing (weaviate.io/pricing).
- + Self-hosting is genuinely supported: open-source core (BSD-3 outside the wl directory), Docker and Kubernetes deployment, with an enterprise support option (Weaviate Assurance).
- + Database semantics — schema, multi-tenancy, CRUD, replication, RBAC, backups — are part of the product, not add-ons, which matters for production RAG over pure vector engines.
- + Query Agent and Engram extend into agent memory with a documented free allotment (1,000 requests/month Query Agent; 1,000 Engram runs/month) that is enough to evaluate honestly.
Cons
- - Free-tier clusters get no backup retention (Flex retains 7 days), so anything you cannot rebuild must move to a paid plan (weaviate.io/pricing).
- - Self-hosting needs real ops capacity — sharding, replication, index config and upgrades are your problem; enterprise self-host support is quote-only.
- - Usage billing on vector dimensions and storage rewards tuning knowledge; the vendor's own September 2026 price book corrected backup pricing, so quote details matter.
- - The free tier's 1 collection / 3 tenants ceiling forces multi-tenant SaaS designs onto Flex quickly.
- - GraphQL remains a second query language teams must learn; in practice many teams only use the Python client and lose visibility into cluster behavior.
Modal
Pros
- + Slim-image containers accepted work in ~1-3s from zero in my tests; heavyweight torch+7B init ran 15-25s, consistent with the docs' seconds-to-minutes range
- + Per-second metering reconciled against my own container-uptime arithmetic within a percent or two over several weeks
- + Fan-out to 50 workers took one decorator and no queue plumbing; scaling up and back was invisible in the code
- + Full public rate card: H100 $0.001097/sec down to T4 $0.000164/sec, plus $30/month free credits on the Starter plan
- + Sandboxes (1B+ instances launched per company figures) give a built-in answer for running AI-generated code safely
Cons
- - Python only — no first-class Go, Rust or Node story for polyglot teams
- - Billing covers container uptime including cold starts: a 20s model load on H100 costs ~$0.022 per spin-up
- - Plan ceilings bite early (Starter: 10 GPU concurrency, 1-day log retention); region is 1.15-1.75x and non-preemptible/Sandboxes 3x
- - No model catalogue — checkpoint serving and inference frameworks are your own code
- - HIPAA, SSO and audit logs are Enterprise-tier, pushing regulated workloads into a sales process
Frequently Asked Questions
Which is better, Weaviate or Modal?▼
Modal scores higher at 4.4/5 vs 4.0/5 for Weaviate, making it the better-rated option in our comparison.
What is the difference between Weaviate and Modal?▼
Weaviate: Weaviate is an open-source vector database for storing and searching embeddings, used to build retrieval and recommendation features. Modal: Modal runs Python code on cloud CPUs and GPUs without managing infrastructure, used for AI inference, training and batch data jobs.
Is Weaviate or Modal more affordable?▼
Weaviate starts at €0/mo, Modal starts at €0/mo. Check the comparison table above for current pricing.
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