FinetuneDB vs DATAKU

FinetuneDB is an AI fine-tuning platform for building custom LLMs from your own data. Teams can create and manage datasets, evaluate model outputs with human and AI feedback, log production interactions, and run prompts in a collaborative studio.

The platform covers the full workflow from dataset creation through fine-tuning, deployment, and ongoing evaluation. You can manage multiple models and datasets in one place, trace LangChain executions, and integrate via Python/JS SDKs that extend the OpenAI SDK.

FinetuneDB also offers serverless inference for Llama and Mixtral models with pay-as-you-go pricing. Data is encrypted in transit and at rest, stored on European servers, and the company is working toward SOC 2 compliance. The platform was acquired by Opper AI but remains operational.

DATAKU is a data science site that tracks AI benchmarks, API pricing, and model releases, then packages the numbers into free calculators and downloadable datasets. The homepage archives articles on inference costs, funding rounds, and head-to-head model comparisons, while the Tools section hosts eight utilities such as an LLM cost calculator, benchmark decoder, and model graveyard.

Most AI news sites summarize press releases. DATAKU cross-references provider docs, leaderboard scores, and its own pricing tables, which is why the downloadable datasets page lists 48-row pricing histories and 62-row benchmark score tables under CC BY 4.0 licenses.

Data analysts, ML engineers, and buyers use DATAKU when they need cost-per-token math, benchmark context, or CSV exports instead of marketing claims. The About page describes the project as benchmark and pricing tracking run by a former Tokyo data analyst.