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Electric Sql vs LangGraph

Electric Sql scores higher on the AgentReady, 42/100 against 34/100. They differ on 6 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Electric Sql. Electric is an agent platform built on sync, providing managed agents, streams, and a sync engine for building multi-agent systems and local-first apps.

LangGraph. LangGraph is a low-level orchestration framework for advanced needs combining deterministic and agentic workflows, part of the LangChain ecosystem

Where Electric Sql is ahead

Electric Sql passes pricing understandable, and LangGraph does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

It also holds adopt: self-service signup, free trial or free allowance, fast time to first request and cli available. LangGraph misses those.

Where LangGraph is ahead

LangGraph passes clear canonical domain, and Electric Sql does not. That is discover, whether an agent can find the product at all without being told it exists.

What neither does

Both fail clear product positioning, mcp discoverable, structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover. LangGraph leads 73 to 67. Electric Sql misses clear canonical domain, clear product positioning, mcp discoverable; LangGraph misses clear product positioning, mcp discoverable.

Understand. Electric Sql leads 23 to 15. Electric Sql misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; LangGraph misses structured api reference, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Electric Sql leads 55 to 25. Electric Sql misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available; LangGraph misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, cli available, mcp integration available.

Operate. Both sit at 24/100 here. Electric Sql misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; LangGraph misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Electric Sql starts at $1 per 1M writes and has a free tier. LangGraph does not publish one.

Signal by signal

Which to pick

Electric Sql clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Electric Sql and LangGraph. Alternatives to each: Electric Sql, LangGraph.

An agent can fetch this as data: POST /v1/compare {"slugs": ["electric-sql", "langchain"]}