Replicate AI vs Tinybird

Run image, video, audio, speech, and language models through a uniform API surface, with official models for FLUX, Nano Banana, Seedream, Grok Imagine, MiniMax, Wan, Seedance, and more.

Set up a model in minutes and make an API call in Python, Node, or plain HTTP after authenticating with an API token.

Package your own model with Cog, an open-source tool for packaging machine learning models, and deploy it on dedicated hardware that scales up and down with demand.

Fine-tune models on your own data, including fast-booting fine-tunes that are billed only while actively processing requests rather than for idle time.

Write SQL and publish it as low-latency HTTP endpoints, backed by columnar storage and serverless scaling, without managing clusters, sharding or Zookeeper.

Stream events over an HTTP Events API, Kafka, S3, GCS, DynamoDB or URLs in Parquet, CSV and NDJSON, so telemetry, transactions and logs land where you can query them.

Create zero-copy, full-stack environments with production data for testing, and roll out schema changes as safe migrations without taking the system offline.

A CLI plus TypeScript and Python SDKs, along with agent skills and a remote MCP server, let AI coding assistants build and deploy analytics pipelines directly.