Ask On DataOpen-source GenAI

4.8 (6)

리뷰어 Daniel Nikulshyn·업데이트됨 2026년 7월

Open Source Data Engineering GenAI ETL/ELT Self-Hosted No-Code Conversational AI

개요

Ask On Data Open-source, GenAI-powered , . , , , , API, , , , . SQL, Python, YAML , . Ask On Data , , ,

주요 기능

GenAI

가격

모델: Free
카테고리: 분호려번세요
평점: 4.8 / 5 (6)

사용 사례

ETL

, , , .

, , .

GenAI , , , .

장단점

장점

단점

GenAI

대결 기록

Pantheon에서 1회 대결.

1위

2위

3위

Last battle

#2
Data Analysis Showdown — December 30, 2023
Dec 30, 2023 · #2 of 9

리뷰

4.8

6개 평가의 평균.

리뷰를 작성하려면 로그인하세요.

Ethan Brooks

Mar 21, 2026

Does the job

Pretty happy overall. Data loading, cleaning, and transformation tasks just works and flexible for integration with existing data stacks. but no dealbreakers — I'd recommend it to a friend without hesitating.

Liam O’Connor

Mar 11, 2026

Does the job

Pretty happy overall. Self-hosted deployment option just works and covers common data engineering tasks like ETL and transformations. but no dealbreakers — I'd recommend it to a friend without hesitating.

Grace Okafor

Dec 26, 2025

Solid for our team

We rolled this out across the team last quarter and open source and self-hostable. Self-hosted deployment option fits neatly into how we already work, and data loading, cleaning, and transformation tasks removed a step we used to do by hand. but it has held up under daily use.

Beatriz Costa

Dec 8, 2025

Does the job

Pretty happy overall. Self-hosted deployment option just works and covers common data engineering tasks like ETL and transformations. GenAI outputs may need validation for production pipelines can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Sanjay Gupta

Nov 7, 2025

Use it every day

Honestly didn't expect to like it this much. Data loading, cleaning, and transformation tasks is exactly what I needed, and flexible for integration with existing data stacks. I do wish genAI outputs may need validation for production pipelines, but I reach for it almost every day now and it just clicks.

Frank Müller

Oct 11, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: open-source codebase for customization and natural language interface lowers technical barrier. Where it lags: smaller community compared to established ETL platforms. On balance the feature set — especially chat-based data workflow creation — justifies the 4 stars for our use case.