We had a comment in our codebase that said SQL Server doesn't handle pagination well, so we should just avoid pagination for now. And it did exactly that: shipped the entire result set to the browser and let it sort itself out. Same deal for Spanner.
A lot of Basedash is just "run the SQL the user wrote, show the rows." We support 10+ dialects (Postgres, MySQL, BigQuery, Snowflake, Athena, SQL Server, Spanner, and friends), and every query gets paginated because we can't stream a 12M row result set to a browser.
Basedash: AI data analyst
Honestly
Congrats on the launch! What are the most common datasources Basedash for Slackuses for analysis? Relevant data lives across multiple platforms for most companies so curious on about what you and the team have seen so far
Basedash: AI data analyst
@scott_davidson_jr most common is connecting an existing database or warehouse, but it’s common to supplement that with data from Stripe, HubSpot, GitHub, Linear and tools like that.
This looks like a massive time-saver for answering ad-hoc executive questions! Since it's translating natural language to query real data sources, how does Basedash handle complex or messy database schemas to ensure it doesn't pull the wrong metrics or hallucinate an answer?
Basedash: AI data analyst
@andika_fadhilah our AI builds up its own context layer based on your data schema, plus you can add additional context, skills, and deterministic metric definitions to improve consistency of answers.
If @Basedash answers in a shared Slack channel using my RLS permissions, who can see the chart in the thread? Is it visible to the whole channel, or can sensitive answers stay private?
Basedash: AI data analyst
@novamaker01 depends where it’s posted! If you want to keep it private you can use a private Slack channel or DM. You can choose to share that with other users if you like, regardless of their access level.
Having data answers show up right inside Slack feels like the right place for this. It saves the usual back-and-forth of opening dashboards, asking an analyst, or chasing a chart later.
Basedash: AI data analyst
@farrukh_butt1 exactly! Some of our users use Basedash exclusively through Slack which is pretty cool.
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I love products that meet users where they already work, and Slack is definitely where a lot of teams spend their day.
Being able to ask a quick question and get an answer with a chart directly in the thread sounds much more convenient than switching between dashboards and analytics tools.
The scheduled reports and automated insights are a nice touch too, sometimes the most valuable data is the information you didn't think to ask for.
Basedash: AI data analyst
@gabriella_anjani appreciate it, we agree!