Natural language meets drag & drop UI to get fast answers from mobile or the web -- no need for SQL or a desktop. No data modeling.
Ask questions with AI and get *directly manipulable* charts. Ensure AI did the calculation right, or fix it fast.
After trying every BI tool out there, writing a ton of Python and SQL code to answer questions, and feeling like *there had to be a better way*, we created Zing Data AI. πͺ
It lets you choose how you want to work -- natural language to query data, or drag and drop, or a SQL typeahead.
Unlike most other 'AI data tools' out there, with Zing everything is directly editable visually.
π«π No need to debug SQL, or have a horrible back-and-forth chat with some chatbot that doesn't understand you just to get to a correct answer.
OpenAI's GPT4, Google PaLM V2, and other cutting edge LLMs that we've fine-tuned for data queries help deliver super-relevant results -- all while ensuring all data and querying happens on your databases and isn't sent to foundation model providers.
π€ Want to do joins? Set those up in the data source settings before asking natural language questions on top of the.
π Want to set up real time alerts? Just create a time series graph, and then hit 'add alert' under the three dots.
βοΈ What to share your results with others? Create a public link for sharing.
π Want to create a dashboard? Just add your saved questions to a dashboard, and viola!
All this works from Zing's iOS, Android apps, or the web so you always have up-to-date data that comes to you.
You can have unlimited data sources live side by side -- PostgreSQL, Snowflake, BigQuery, Databricks, Redshift, CSVs, Excel files, JSON, Clickhouse, mySQL, Microsoft SQL Server, and more.
You can try out Zing for free (up to three people) at http://www.zingdata.com
We've found that the current state of generative AI on data suffers from hallucinations. This is why we at Zing Data implemented a visual AI experience that is reliable and gets you to the right analysis fast. Works on any kind of datasource - postgres, google sheets, csv, excel, Snowflake, Databricks, Clickhouse, Trino, Google BigQuery.
@zhendlin and @sabinmthomas This is amazing stuff! Congrats on the launch. All the modern Execs I know absolutely LIVE on their phones. This is much needed to get them the right info in their hands.
Thanks @pete_cheslock for the support - yeah now people are editing videos for tiktok on mobile, replying on slack, sending email -- so why not data :) Fun fact: the average American is now on their phone 4.2 hours a day (4.9 hours in Japan!) per AppAnnie which is pretty nuts!
Thanks @leo_wendler for your support - its cool what you're working at meetjamie.ai to make meeting notes way easier to capture and summarize! Perhaps together what we're both working on will make work a lot better across meetings, data, and decisionmaking!
The drag-and-drop query builder is very easy to use. I was able to connect my datasource, query a table and create visualizations in less than 3 minutes. Very cool feature! The formatting options, sorting and the ability to view the visualizations in any chart type are nicely designed and well thought-out. Excited to explore the app more!
This is really cool! I've always disliked writing out SQL code to get the exact data I want, especially when they're complex and involve a lot of joins/groupings.
That being said, I also don't have much experience with other BI tools, but I can imagine the natural language feature of Zing is going to be really helpful.
Bringing it back to my previous point, I'm wondering how well this handles complex data joins and filtering? Also curious: what has been the coolest use case that has maximum wow factor?
@joshyap Great question - You can set up joins relationships between tables / views which the AI can use (details here: https://docs.getzingdata.com/doc... ).
It handles filtering from your natural language query as you'd expect -- so if you ask "How many customers in Texas have less than $1000 spend", it will apply those multiple filters. Because its all drag + drop editable, you can easily adjust filters on the fly to make sure they capture exactly what you want.
The coolest use cases we've seen so far mix this querying capability with real-time alerts:
* A product team keeps track of core metrics for product health (signups, churn, feature usage) and has alerts for when things go great or break so they can take action
* A genetic testing company uses this to see new promising results in real-time with push alerts
* A trucking company uses this in the field to know what trucks are delayed
* A retailer makes sure they don't run out of things in each store with real-time monitoring of inventory
@kevrmoore Thanks! A couple of common use cases we see are operational / retail / logistics -- plus PMs / engineers / execs who want to always know whats happening with their products!
Congrats on the launch @zhendlin and to the Zing team! The fact that this available on mobile is huge for meeting people where they are at, especially for workers where their office is out in the field. I interviewed Zach on my newsletter earlier this year, so it's awesome to see the vision come to life.
@mellamomark
Thanks for the support! Being able to use AI with data and refine it with a tap, swipe, click has been incredibly useful according to our users.
Zing Data