Lightdash Reviews & Product Details

Honestly, the team. Support is quick, and they really listen to what we need and the ideas we throw their way. When something is feasible, they usually ship it really fast, and when it isn't, they're clear and transparent about why. Working with them is just super easy. Review collected by and hosted on G2.com.

Honestly, nothing major. Like with any tech product, I run into a bug every now and then, but the team looks into it super fast and fixes it quickly. Review collected by and hosted on G2.com.

Very intuitive to use - both from the data team as a developer, but also as a non-technical end user. The feedback has been great, and we have lots of non-technical stakeholders now making their own reports which is a huge time save! Any request for help or new features is always responded to quickly by the team, and the rate that they release new updates and features is impressive Review collected by and hosted on G2.com.

Once or twice we've upgraded to the latest version (we self-host) and it's had bugs in, so that we had to roll back Review collected by and hosted on G2.com.

What I like best is that Lightdash sits directly on our dbt project. Metrics are defined once in code, reviewed like everything else, and every dashboard uses the same definitions. That gives us a single source of truth and makes self-serve work: people outside the data team explore governed metrics without SQL and get the same numbers we do. It is like a last piece in big puzzle. Review collected by and hosted on G2.com.

Now - nothing. Beginning was slow and took more time. Review collected by and hosted on G2.com.

dbt native so great for modern analytics team. No seat by seat pricing so saves a lot of time not juggling seats. Clean and easy to use self service. Fantastic and ongoing support from the super friendly and helpful Lightdash team. Great and easy to set up AI analyst bot. Review collected by and hosted on G2.com.

They bring out new features so quickly I can barely keep up with them all! Review collected by and hosted on G2.com.

First of all, it genuinely feels like next-gen BI compared to Tableau. For me, that mainly comes from the “dashboard as code” approach and the agentic-first way of building. The AI features help developers deliver faster, and they also give users a new level of self-service that feels manageable and scalable. Review collected by and hosted on G2.com.

Since the product is still relatively young, it’s missing some functionality at the moment. That said, it’s evolving quickly, and the company seems genuinely open to feedback and suggestions. Review collected by and hosted on G2.com.

It's a very modern platform, and they're always building out cutting edge features. The support has been absolutely best in class, they are always receptive to feedback and very quickly roll out fixes.

The UI is very intuitive and familiar from using platforms like looker. I found the self-hosting aspect very easy to setup and very flexible in terms of infrastructure backend. The API is very extensive and allows for lots of custom features to be built on top. They also have extensive AI features and an MCP that they're always working on.

The native integration with the semantic layer in dbt has allowed for much more efficient development and testing. Review collected by and hosted on G2.com.

Some small unexpected bugs have causes hiccups despite the very fast response and patch time. A few times when Behaviour has been counter intuitive at first glance. Review collected by and hosted on G2.com.

I think THE biggest feature I love is the AI agent which allows me to create absolutely ANYTHING I want on top of my well governed data (also enabled by Lightdash). Close second is the Lightdash team, which release features and squash bugs sometimes in a matter of hours, simply because I Slacked them about it. And then close third, unrivalled price -- I have not yet encountered a better price-to-feature BI provider. Review collected by and hosted on G2.com.

I'm going to sound like a baby about it, but those pesky bugs, when they arise for that brief moment, annoy me. Then again, very short lived as the resolution speed of the team is super fast. Review collected by and hosted on G2.com.

I like that Lightdash is a BI tool that feels ready for the Agentic Era. I also appreciate how well Lightdash integrates with DBT, making it easier for developers to review code logic and gain clearer visibility into the data and its calculations. Overall, it helps bring more transparency for both Data Teams and Business users. Review collected by and hosted on G2.com.

I don’t really have a complaint, and I understand the Lightdash team is usually innovating. That said, it would be helpful to have more transparency in the “Lightdash Analytics” newly released section, so we can understand how those results are calculated and what the retention policy is if we start using them for our internal analysis. Still, from our experience, once we reach out to the team, they’re quick to incorporate changes. Review collected by and hosted on G2.com.

Lightdash has incredible support staff. When we reach out via our shared slack channel we always receive a response within an hour and more than once bugs/new features have been implemented 24-48 hours after the initial outreach.

The service is easy to use and the feature set is robust, we are able to implement dashboards using the Lightdash AI and integrate them into code very easily. Review collected by and hosted on G2.com.

My biggest concern with Lightdash was needing more customizability in the presentation of data within dashboards. When I requested this, they pointed me towards the beta feature Data Apps which has exactly solved our problem here but since it is in beta we don't know how this will affect pricing when it goes live.

Secondly, I find some of the roles, user types, and groups to be a little confusing. It seems that there is overlap between user roles and user types. I would like it to be more simplified into just roles assigned to given groups because the way it is now someone might give a user a type that has more access than their role and then this is harder to manage. The specific case for us here is with our users wanting to be able to run SQL queries when chatting with Lightdash AI. To do this, we had to give a business user the Developer user type but they aren't really a developer; we just wanted them to have access to more self-service BI. Review collected by and hosted on G2.com.

What we like most is that Lightdash sits directly on top of our dbt project. We define metrics, dimensions and joins once, in YAML, in Git, and Lightdash builds everything from that. Changes go through a PR like any other code, and CI validates them before they reach production, so the data model is reviewed and version controlled.

It's also easy for people to use. Users who aren't data specialists have been able to find their way around, explore a governed table and build their own charts. Queries run on each person's own BigQuery permissions, so a dashboard link doesn't give anyone access to data they shouldn't see.

Data Apps have been a big step forward for us. We can build custom, on-brand apps for teams, develop them locally with Claude, and ship them through CI/CD. That's been noticeably quicker than building through the UI. The AI agent shows the SQL behind its answers, which helps people trust it, and it gets better the more carefully we describe our data in dbt.

We're have fully migrated over from Tableau, and the feedback from the business has been excellent. Review collected by and hosted on G2.com.

Honestly there isn't much we dislike, and what does annoy us is mostly the flip side of how Lightdash works. Everything hangs off the dbt semantic layer, so when we change a model, a field or an explore name, charts and dashboards that people built in the UI can break. We've had to run tidy-up passes to find broken content in shared spaces and chase the owners to fix it. It's manageable, but it needs some discipline. Review collected by and hosted on G2.com.