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What alternatives exist to the analysis feature of chatgpt?
by sebastiansm 2y ago
What alternatives exist to the analysis feature of chatgpt?
- cstanley 2y agohttps://patterns.app/ https://patterns.app/, but is more for databases
- jnnnthnn 2y agohttps://julius.ai https://julius.ai is great
- loumaciel 2y agohttps://www.findly.ai/ https://www.findly.ai/ works with databases.
- CephalopodMD 2y agoGoogle just announced their version of this on Tuesday with Gemini
- Hansenq 2y agoIf you're looking for a more powerful version of ChatGPT Data Analysis, I recommend https://julius.ai/ https://julius.ai/. If you're looking for a version of ChatGPT Data Analysis, but want to offer it to your customers, take a look at us! https://www.lightski.com/ https://www.lightski.com/ (disclaimer: I'm the co-founder.) We're building this feature of ChatGPT, but in a way that you can embed inside your app, so that your end-users can get an AI Data Scientist without needing to export data, then import it into ChatGPT or Julius.
- andenacitelli 2y agoAkkio has a pretty good chatbot for this as well as a much longer tail of data transformation and predictive modeling / AutoML features. Disclaimer: I work at Akkio, but think we have a really nice, value-add product and an excellent team behind it :)
- boyd 2y agoWe’re more focused on data visualization vs. general “chat with your data”, but building in this space: https://minard.ai https://minard.ai Upload or import a CSV, Excel, Google sheet, etc. and also just launched Postgres and Snowflake connectors today!
- mritchie712 2y ago(note: I'm founder of https://www.definite.app/ https://www.definite.app/) ChatGPT is good for "last mile" adhoc analysis (e.g. you already have all your data in a single file and you want to ask a few questions). If you're looking for data infrastructure with an AI assistant, try https://www.definite.app/ https://www.definite.app/. We give you a full data stack in one app: 1. Built-in data warehouse - We spin up a duckdb database for you 2. 500+ connectors (e.g. Postgres, Stripe, HubSpot, Zendesk, etc.) - You don't need to buy a separate ETL, it's also built-in 3. Semantic layer - Define dimensions, measures, and joins using SQL in one place. We have pre-built models for all the sources we support (e.g. the Stripe model already has measures for MRR, churn, etc.) 4. Simple BI / Dashboards - Build a table with the data you want and generate visuals off that table. Works like a pivot table, if you can use a spreadsheet, you can use Definite. 5. AI assistant to help you thru all of this and analyze your data I'm mike@definite.app if anyone wants help getting set up.