# LiteLLM vs Powabase

LiteLLM records 576,967 monthly visits with +7.9% month-over-month growth and Freemium, Contact for Pricing pricing. Powabase records 0 monthly visits with -100% growth and Freemium pricing.

| Metric | [LiteLLM](https://openaitools.app/tool/litellm) | [Powabase](https://openaitools.app/tool/powabase) |
| :--- | :--- | :--- |
| Website URL | https://litellm.ai | https://powabase.ai |
| Categories | AI API, Large Language Models (LLMs), AI Developer Tools, Open Source AI Models | AI Developer Tools, AI Agent, AI Knowledge Base, AI Workflow |
| Pricing Model | Freemium, Contact for Pricing | Freemium |
| Monthly Visits | 576,967 | 0 |
| MoM Growth Rate | +7.9% | -100% |
| Primary Market | United States | Global |
| Direct Visits | 228,967 | 0 |
| Review Score | 4.8 | 4.6 |
| Saved Count | 5 | 0 |
| Supported Platforms | Website | Website |

## LiteLLM

LiteLLM is an open-source AI gateway and Python SDK designed to remove vendor lock-in from LLM applications. The SDK lets you call models from OpenAI, Anthropic, Google Vertex AI, Bedrock, Mistral, Azure and dozens of other providers using the same OpenAI-style request format, so switching models is a configuration change rather than a code rewrite. The same project ships an AI Gateway (often called the proxy) that turns that abstraction into a shared service for an entire organization.

That gateway is where most platform teams find the value. It issues virtual keys scoped by team, project or application, tracks spend per key against budgets, applies rate limits (TPM and RPM), and exposes dashboards for request volume, token usage and cost per model. Routing features include load balancing across deployments, automatic fallbacks when a provider fails, retries and budget-based rerouting, plus guardrails for PII masking, prompt-injection detection and secret detection.

The project is genuinely open source with the code on GitHub (BerriAI/litellm) and a very active community. Enterprise features add SSO, audit logs, and support for agents and MCP servers through the same gateway. Notably, LiteLLM supports day-zero access to new models so teams can adopt them as soon as they ship, and it can also serve self-hosted, fine-tuned and internal models behind the same key. Companies cited on the site include NVIDIA, Netflix, Okta, Lemonade and AT&T.

**Pricing & Plans:** Freemium and open source. The self-hosted LiteLLM gateway and SDK are free under an open-source licence, and a free tier lets you get started immediately. Enterprise plans with SSO, audit logs, SLAs and advanced support are quoted on request via the sales team.

- **OpenAI-compatible API for 100+ LLMs:** Call 100+ providers and 1,800+ models using one request format, so you can swap models without changing application code.
- **Virtual keys, teams and budgets:** Issue scoped keys per team, project or app, set monthly spend caps and see exactly who is driving usage and cost.
- **Routing, load balancing and fallbacks:** Distribute traffic across deployments, retry on failure and automatically fall back to another model or provider when one goes down.
- **Observability and spend tracking:** Dashboards for request volume, tokens and cost per model, with support for logging and analytics integrations.
- **Guardrails and policy controls:** Plug in PII masking, prompt-injection detection and secret-detection guardrails, and manage policies centrally instead of in every app.

**Strengths:** Truly open source with a large GitHub community and self-hosting option; Very broad provider coverage with an OpenAI-compatible interface; Enterprise-grade controls: virtual keys, budgets, rate limits and audit logs; Day-zero support for new models and easy fallback when providers fail

**Limitations:** Self-hosting means you own deployment, upgrades and uptime; Feature depth varies between the free open-source version and enterprise plan; The breadth of configuration options can be overwhelming for small projects

[Profile (Markdown)](https://openaitools.app/tool/litellm.md)

## Powabase

Powabase starts from PostgreSQL and layers the pieces AI products need — retrieval, agents, and workflows — directly onto the database instead of forcing developers to glue together a vector store, an agent framework, and a BaaS. Every project receives its own isolated Postgres instance with row-level security, along with a first-class auth service, object storage, and realtime. Access happens through PostgREST, a REST/GraphQL-style API, or a direct database connection.

The RAG layer is a core feature, not a bolt-on. When you upload PDFs, images, office documents, or URLs, Powabase extracts, chunks, embeds, and indexes the content automatically, then serves it through BM25, pgvector, hybrid search, multimodal indexing, and rerankers. On top of that sits an agent runtime: you define ReAct orchestrations that combine multiple LLMs, knowledge bases, and tools, and it executes them over HTTP or MCP with streaming responses, persistent sessions stored in your project's Postgres, and human approval for sensitive calls. A visual workflow builder lets you assemble multi-step flows by dragging blocks, then publish them as HTTP endpoints.

Powabase also leans hard into AI-assisted development. It publishes an agent skill and an MCP server so coding tools such as Claude Code, Codex, Antigravity, OpenCode, Replit, Lovable, v0, Base44, and Bolt.new can speak the platform natively. Deployment is flexible: run it on Powabase Cloud, self-host the Apache-2.0 stack with a single docker compose up, or deploy on Kubernetes via the official Helm chart for enterprise use — always bringing your own LLM keys.

**Pricing & Plans:** Powabase follows an open-core model. The full stack is free and open source under Apache-2.0, so you can self-host with Docker Compose at no license cost. A fully managed Powabase Cloud handles updates, backups, and scaling, and an Enterprise edition adds a supported Kubernetes deployment with SLAs and private hosting. Public fixed price points are not listed on the homepage; contact the team for cloud and enterprise quotes.

- **Dedicated Postgres per project:** Every project runs its own isolated PostgreSQL instance with row-level security, plus managed auth, object storage, and realtime subscriptions — no shared logical databases and no noisy-neighbor risk.
- **Built-in RAG pipeline:** Upload PDFs, images, office files, or URLs and Powabase extracts, chunks, embeds, and indexes them automatically. It supports BM25, pgvector, hybrid search, multimodal indexing, and rerankers.
- **Agents with tools over HTTP or MCP:** Define ReAct-style agents with multiple LLMs, knowledge bases, and tools. Runs stream over SSE and sessions persist in your project's Postgres, with human approval gates for sensitive tool calls.
- **Visual, callable workflows:** Drag and connect blocks — triggers, conditions, agents, HTTP calls, code — to assemble multi-step workflows, or ask a natural-language copilot to draft the flow. Deploy a workflow as an HTTP endpoint.
- **Open source and self-hostable:** Clone the Apache-2.0 repo and run docker compose up for a single-project stack on your own infrastructure. A managed cloud and an enterprise Helm chart deployment are also available.

**Strengths:** Postgres-native architecture with a dedicated, isolated database per project rather than shared logical databases.; RAG, agents, workflows, auth, and storage bundled behind one REST API, cutting down on glue code.; RAG pipeline is production-oriented, with hybrid search, rerankers, OCR, and multimodal indexing included.; Fully open source under Apache-2.0, so self-hosting avoids vendor lock-in.

**Limitations:** The platform assumes you already know your way around Postgres; teams that just want a drag-and-drop database without SQL concepts may find the learning curve steeper than a fully no-code tool.; Self-hosting the full stack means running around a dozen Docker services on your own infrastructure, which carries real operational overhead.; You bring your own LLM API keys, so model spend and rate limits are managed outside Powabase.; The homepage does not publish fixed public prices, so budget planning for cloud or enterprise plans requires contacting sales.

[Profile (Markdown)](https://openaitools.app/tool/powabase.md)

## Frequently Asked Questions

### How do LiteLLM and Powabase compare in monthly traffic?

LiteLLM has 576,967 monthly visits, while Powabase has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

LiteLLM has a month-over-month growth rate of +7.9%; Powabase has -100%.

### How does pricing compare?

LiteLLM: Freemium, Contact for Pricing. Freemium and open source. The self-hosted LiteLLM gateway and SDK are free under an open-source licence, and a free tier lets you get started immediately. Enterprise plans with SSO, audit logs, SLAs and advanced support are quoted on request via the sales team. Powabase: Freemium. Powabase follows an open-core model. The full stack is free and open source under Apache-2.0, so you can self-host with Docker Compose at no license cost. A fully managed Powabase Cloud handles updates, backups, and scaling, and an Enterprise edition adds a supported Kubernetes deployment with SLAs and private hosting. Public fixed price points are not listed on the homepage; contact the team for cloud and enterprise quotes.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Provides a massive hosted model catalog with instant access, but requires trusting a third-party platform instead of self-hosting. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Hosts high-performance open-weight models directly on dedicated serverless infrastructure, but does not route across external providers. | [.md](https://openaitools.app/tool/together-ai.md) |
| 3 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | Delivers automated model failover and budget governance through an API gateway, but with less open-source customization. | [.md](https://openaitools.app/tool/orcarouter.md) |
| 4 | [ZenMux](https://openaitools.app/tool/zenmux) | 444,394 | +16.7% | Freemium, Paid | Unified LLM gateway with failover and analytics, but offers less robust open-source developer SDK support. | [.md](https://openaitools.app/tool/zenmux.md) |
| 5 | [Mastra](https://openaitools.app/tool/mastra) | 318,954 | -5% | Freemium, Contact for Pricing | The TypeScript framework for building, deploying, and observing AI agents | [.md](https://openaitools.app/tool/mastra.md) |
| 6 | [Browserbase](https://openaitools.app/tool/browserbase) | 283,597 | -8% | Freemium | Cloud browsers and web APIs for AI agents | [.md](https://openaitools.app/tool/browserbase.md) |
| 7 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | Offers advanced enterprise observability and guardrail tools, but lacks LiteLLM's lightweight self-hosted proxy simplicity. | [.md](https://openaitools.app/tool/portkey-ai.md) |
| 8 | [Agent 37](https://openaitools.app/tool/agent-37) | 180,030 | +24.2% | Free Trial, Contact for Pricing | The low-cost cloud sandbox where AI agents actually live | [.md](https://openaitools.app/tool/agent-37.md) |
| 9 | [Eden AI](https://openaitools.app/tool/eden-ai) | 173,828 | +6.5% | Paid, Contact for Pricing | Provides managed multi-provider AI routing and cost tracking, but lacks the native open-source flexibility of LiteLLM. | [.md](https://openaitools.app/tool/eden-ai.md) |
| 10 | [LLM Gateway](https://openaitools.app/tool/llm-gateway) | 168,426 | -14.5% | Freemium, Contact for Pricing | An open-source alternative for unifying LLM providers, but features a less extensive ecosystem of middleware integrations. | [.md](https://openaitools.app/tool/llm-gateway.md) |

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Source: https://openaitools.app/compare/litellm-vs-powabase

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