Weaviate vs Google Gemini API
Open-source vector DB with hybrid search + modular embeddings
vs. Gemini 2.5 Pro, Flash, Flash-Lite — multimodal + 2M context
Pricing tiers
Weaviate
Sandbox (14-day trial)
14-day free trial. Shared cloud cluster. 250 Query Agent req/month.
$0 base (usage-based)
Self-Hosted (OSS)
BSD-3 licensed. Run free on your infra.
$0 base (usage-based)
Flex
From $45/mo pay-as-you-go. Shared HA cluster. 99.5% uptime. 30k Query Agent reqs/mo.
$45/mo
Premium
From $400/mo prepaid. Shared or dedicated. 99.95% uptime. SSO/SAML. Unlimited Query Agent. HIPAA on AWS.
$400/mo
Enterprise
Custom. BYOC / private deployment.
Custom
Google Gemini API
Free Tier (AI Studio)
Generous free tier with rate limits. Good for dev + prototyping. Data may be used to improve Google products.
Free
Paid API (Gemini API)
Pay-as-you-go per-token. Data NOT used for training.
$0 base (usage-based)
Vertex AI (GCP)
Enterprise deployment via Google Cloud. Same pricing structure + GCP features (IAM, VPC-SC, CMEK).
$0 base (usage-based)
Gemini Enterprise
Custom. Gemini 2.5 Deep Think model access + Google Workspace + Agentspace.
Custom
Free-tier quotas head-to-head
Comparing sandbox on Weaviate vs free-tier on Google Gemini API.
| Metric | Weaviate | Google Gemini API |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Weaviate · 13 features
- Backups — S3, GCS, Azure Blob backup destinations.
- BYOC — Run managed Weaviate in your own cloud account.
- Compression (PQ/BQ/RQ) — Reduce vector memory footprint by up to 32x.
- Dynamic Indexing — HNSW + flat + dynamic index selection.
- Generative Search — Search + RAG answers in one API call.
- Hybrid Search — Combine BM25 + dense vector search in one query.
- Modular Vectorizers — 60+ plug-in vectorizers + generative AI modules.
- Multi-Tenancy — Per-tenant isolated vector stores in one cluster.
- Query Agent (AI) — Agentic natural-language query generator.
- RBAC — Role-based access control for collections + tenants.
- Replication — Multi-node async + sync replication.
- Self-Host (OSS) — BSD-3 licensed. Docker + k8s Helm.
- Structured Filters — Metadata filters pre + post vector search.
Google Gemini API · 11 features
- Batch API — 50% discount for async processing.
- Code Execution — Python code interpreter tool (sandboxed).
- Context Caching — Cache system instructions + tools for up to 90% savings.
- File API — Upload large files (up to 2 GB) for multimodal prompts.
- Function Calling — JSON schema-based tool calling. Parallel supported.
- generateContent API — Core generation endpoint.
- Grounding with Search — Augment answers with Google Search results. Fact-checked citations returned.
- Model Tuning — Supervised fine-tuning via AI Studio.
- Multimodal Live API — Bidirectional streaming voice + video (WebSocket).
- Safety Settings — Configurable thresholds for harm categories.
- streamGenerateContent — Streaming variant with SSE.
Developer interfaces
| Kind | Weaviate | Google Gemini API |
|---|---|---|
| SDK | weaviate-client, weaviate-go-client, weaviate-java-client, weaviate-ts-client | @google/genai, google-genai-go, google-genai (Python) |
| REST | Weaviate REST API | Gemini REST API, Vertex AI Endpoint |
| GRAPHQL | Weaviate GraphQL | — |
| MCP | Weaviate MCP | Gemini MCP |
| OTHER | Weaviate gRPC | — |
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