Being able to work through our own dashboards and fully customize them is great. Review collected by and hosted on G2.com.

Sometimes it works slowly and data filtering can take a long time. Review collected by and hosted on G2.com.

Looker is highly valued for its centralized, governed data modeling layer. Review collected by and hosted on G2.com.

I’ve run into performance issues when working with large datasets, and the cost also feels quite high. Review collected by and hosted on G2.com.

Looker’s biggest strength is its flexibility and powerful modeling layer (LookML), which makes it easy to build consistent, reusable data models. It’s excellent for scaling analytics across multiple teams without reinventing the wheel for every dashboard. The UI is clean, and the way it handles explores encourages self-serve data exploration for business users, which is a big win for teams that want to move away from static reports. Review collected by and hosted on G2.com.

Looker has a steep learning curve, especially for non-technical users or analysts new to LookML. The dependency on engineers or analytics engineers to maintain the modeling layer means it can be time-consuming to implement changes. Also, advanced visualizations are more limited compared to other BI tools like Tableau — so heavy data storytelling sometimes needs an external tool. Review collected by and hosted on G2.com.

Looker has completely transformed how we access and interpret data in the Customer Support department. I love the ability to create real-time dashboards that bring visibility into key KPIs like CSAT, SLA adherence, ticket volume trends, and agent productivity. It enables my team leads and I to proactively identify issues, monitor performance, and make data-backed decisions quickly. The flexibility of LookML also allows for tailored metrics that reflect our support structure across different markets. Review collected by and hosted on G2.com.

The learning curve can be steep for new users, especially when it comes to LookML or building custom dashboards from scratch. Some dashboards can become slow to load when pulling large datasets, and managing access controls or permission levels across teams sometimes requires admin involvement. Additionally, while powerful, some visuals lack the polish or customization options compared to other BI tools. Review collected by and hosted on G2.com.

I really like that Looker is so easy to use, making data accessible to my whole company. It's very easily shareable with the wider team, which makes collaboration smooth. The initial setup was easy enough, thanks to the data integrations available. Review collected by and hosted on G2.com.

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Looker is liked for its powerful, centralized LookML data modeling layer, which creates a single source of truth for data and allows for consistent, reusable metrics across an organization. It offers an intuitive user interface with self-serve data exploration capabilities, making it accessible to business users. Additionally, Looker is praised for its seamless integration with Google Cloud Platform (GCP) and other cloud data warehouses, its support for developers through APIs and SDKs, and its ability to support collaboration and data security. Review collected by and hosted on G2.com.

Users often dislike Looker's steep learning curve, particularly with its proprietary LookML modeling language and complex features like data merging, which require significant manual effort and technical skill to set up. Additionally, performance issues such as slow dashboard loading times and lag, limited visualization options compared to competitors, and a costly price point for its features are frequent complaints from users. Other dislikes include issues with data connection stability, the need for workarounds on common tasks, and a sometimes buggy user interface. Review collected by and hosted on G2.com.

I like the connections Looker has with Google products, specifically BigQuery datasets and Google Sheets. Since our company mainly uses Google Suite, the infrastructure is already built on Google products, which makes it a lot easier to use. Review collected by and hosted on G2.com.

It can be quite difficult sometimes to get the visualizations or slices that you want. Some of the options and slices are not very intuitive, so you have to think of roundabout ways to get the desired outcome you're looking for. Review collected by and hosted on G2.com.

The semantic layer makes building visualizations and dashboards substantially easier for technical and non-technical users alike.

Integrates with a host of databases.

Quite easy to implement as long as you've got a supported database. Review collected by and hosted on G2.com.

Pricier than almost all SaaS competitors

All compute is performed in the database so there is no ability to join datasets from different DBs when building a visualization.

All data sources have to be built as lookml "views" and exposed in a model file as an "explore" which makes it difficult to simply write a query and make a view off of it, like other BI viz tools allow. Review collected by and hosted on G2.com.

It's the perfect visualization and marketing analysis tool to integrate all the marketing insights into the one platform. as digital marketer i used it to analyze the marketing performance of google analytics, google ads and Console via data sources connection. and lastly we schedule the performance data in pdf formate to our client for the monthly basis. Review collected by and hosted on G2.com.

some of the marketing tool integration required paid sources and for search console it lacks last 2 days data. might be bit challenging for beginner of use Review collected by and hosted on G2.com.

The best thing about Looker is that it provides easier access to the GCP environment. Compared to other options, it’s also easier to manage IAM and authentication. Review collected by and hosted on G2.com.

The visualisation capabilities are a bit weaker compared to competitor tools, but they’re still fine for most use cases. Review collected by and hosted on G2.com.