Looker Reviews & Product Details

Looker is a highly convenient tool for anyone looking to begin their analytics journey. It makes it simple and even enjoyable to compare different user journeys across various stages. While working as a product analytics engineer and reporting on digital sales journeys, I found it much easier to use. The drag-and-drop functionality allowed me to quickly create the reporting dashboards I needed within minutes. Review collected by and hosted on G2.com.

Integrating with platforms outside the Google ecosystem can sometimes be a bit challenging. While there are various methods to address and overcome these issues, the process often takes longer to set up. I have also noticed that if your flows are not properly optimized, you might experience latency problems. On several occasions, I found it quite inconvenient to wait for the data to load on the dashboard. Review collected by and hosted on G2.com.

What I like best about Looker is its ability to turn complex datasets into clear, interactive dashboards and reports. It makes data exploration much easier and allows me to drill down into details without needing advanced SQL skills. The platform helps teams collaborate by sharing insights quickly, and the customizable dashboards give a clear view of business performance. Its integration with Google Cloud also makes it scalable and reliable. Review collected by and hosted on G2.com.

Looker can feel overwhelming for new users because of its steep learning curve, especially when working with LookML. The setup and implementation require technical expertise, which might not be ideal for smaller teams. At times, the loading speed for very large datasets can be slow. More intuitive drag-and-drop features would make it easier for non-technical users. Review collected by and hosted on G2.com.

Looker Studio is very easy to use and simple to implement — I was able to build dashboards quickly without much setup. I use it frequently because of the wide range of features and smooth integration with Google tools. Sharing is effortless, and while customer support is mostly community-driven, it’s usually enough for common issues. Review collected by and hosted on G2.com.

Sometimes Looker Studio can feel a bit slow, especially when handling large datasets or complex dashboards. While the basic features are great, some advanced customizations take extra effort or aren’t very straightforward. Also, customer support isn’t very direct — it’s mostly community-driven, so finding solutions can take time. Aside from that, it’s a solid tool once you get used to it. Review collected by and hosted on G2.com.

Looker’s ability to turn raw data into interactive dashboards and clear visualizations is its strongest point. The modeling layer with LookML allows for consistent metrics definitions across the organization, reducing discrepancies in reporting. I also like how seamless it is to share reports with non-technical colleagues, ensuring decision-making is always based on the same source of truth. Its integration with cloud databases and the ability to embed dashboards into applications is extremely helpful. Review collected by and hosted on G2.com.

The initial learning curve for LookML can be steep for new users who don’t have technical backgrounds. Dashboard loading times can sometimes be slow when handling large datasets. Additionally, pricing can be high for smaller organizations, and some advanced customizations require deeper technical knowledge, which reduces accessibility for non-technical users. Review collected by and hosted on G2.com.

What I like most about Looker is its ease of use — the interface feels intuitive, so even non-technical users on my team can create and understand dashboards without heavy training. The ease of implementation was impressive too; once data sources were connected, we were able to start building dashboards quickly. I also value the ease of integration — Looker connects seamlessly with Google tools like BigQuery, Analytics, and Sheets, while also working well with external sources such as Excel or SQL databases. The number of features strikes a good balance: from filters and drill-downs to LookML for reusable data models, it’s powerful without being overwhelming.I find myself using Looker regularly, often on a daily basis, which shows how naturally it fits into my workflow and decision-making process. Review collected by and hosted on G2.com.

The main challenge is the learning curve with LookML. While it’s incredibly powerful, less technical users may struggle at first. Large datasets can sometimes slow dashboard load times, and certain advanced visualizations don’t feel as polished compared to other BI tools. I’d also like to see more documentation and faster customer support responses on complex issues. Review collected by and hosted on G2.com.

I have been using Looker for a long time for a project

1. It is a great tool to visualise data of chatlogs from Dialogflow CX

2. Great tools, but using SQL querying knowledge

3. The paid looker has AI features

4. Easy to use for tech users with SQL proficiency and integration with BigQuery Review collected by and hosted on G2.com.

1. Not feasible for non-tech users because of the SQL query, connection

2. The calculations for x, y axes, drag and drop, are a bit complicated

3. The data source pulling from the BigQuery bucket could be a bit complicated for beginners Review collected by and hosted on G2.com.

As an SEO professional, what I like best about Looker Studio is its ability to combine data from multiple sources like GSC, GA4, and Google Sheets into a single unified dashboard. This helps me track keyword performance, landing page metrics, and traffic trends all in one place. The ability to create automated, client friendly SEO reports that update in real-time saves a lot of manual effort. Plus, the flexibility to customize charts, tables, and scorecards helps present complex SEO data in clean and visual way. Review collected by and hosted on G2.com.

It can get frustrating when dealing with large datasets or multiple connectors. Reports tend to load slowly or even break if the data source is too heavy, especially when working with GA4 or BigQuery. Review collected by and hosted on G2.com.

Looker Studio stands out for its seamless integration with various data sources—from Google Analytics, Ads, Sheets, and BigQuery, to third-party connectors. The drag-and-drop interface makes dashboard creation approachable even for those without a technical background, yet it still offers robust options for advanced users. I truly appreciate the platform’s customization capability, allowing me to tailor reports and visuals for different stakeholders. Collaboration is effortless with real-time sharing and edit access, which keeps marketing and analytics teams on the same page. In my digital marketing role, the ability to combine, visualize, and analyze multi-channel campaign data has been instrumental in optimizing performance and driving growth. Review collected by and hosted on G2.com.

Occasionally, complex or very large datasets can cause reports to load slowly, impacting the user experience. Some advanced features require a learning curve, particularly around data blending and custom calculations. I’d love to see even more third-party connectors and streamlined options for automating report refreshes. Also, while the free tier is excellent, certain features are limited unless you upgrade. Review collected by and hosted on G2.com.

What I love about Looker is how easy it makes data visualization feel, even for non-technical users. The interface is intuitive, and the way it connects directly to live databases without moving data around is a big win. I also appreciate how LookML lets us define reusable data logic once and then share it across teams. It’s become my go-to tool when I need to create clean, insightful dashboards without writing a bunch of SQL each time. Review collected by and hosted on G2.com.

While Looker is powerful, I’ve found that the learning curve for LookML can be a bit steep in the beginning-especially for team members who don’t have much technical experience. Also, the pricing might be a bit high for startups or smaller businesses. Some advanced features could use more documentation or easier implementation support. 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.