Looker is a tool that turns company data into easy-to-read dashboards and reports. Its best feature is that everyone sees the same numbers, so there's no confusion about what a figure means. You can filter and explore the data without any coding, the data is always live, and reports can be sent automatically to Slack or email. For a support team, it's useful for tracking things like chat volume, response times, and customer satisfaction scores. Review collected by and hosted on G2.com.

Looker is a bit hard to set up at first, since it requires technical skills for the initial configuration. It can also be expensive, so it may not be a good fit for a small team. Review collected by and hosted on G2.com.

What I like best about Looker Studio is its ability to transform raw data into interactive dashboards and meaningful visual reports. It makes it easy to connect multiple data sources, track key performance indicators, and share insights with stakeholders. Its customizable visualizations and user-friendly interface help simplify data analysis, improve visibility into business performance, and support data-driven decision-making. Review collected by and hosted on G2.com.

What I dislike about Looker Studio is that it can become slow when working with large datasets or complex dashboards. Data blending and advanced customization can be challenging, and troubleshooting issues with calculated fields or data connectors is not always straightforward. Additionally, some features and integrations have limitations, making it less flexible for complex reporting needs. Improving performance, usability, and advanced data modeling capabilities would make it a more powerful tool. Review collected by and hosted on G2.com.

I like how Google Looker makes it easier to bring data together and turn it into reports that are actually useful. The ability to build dashboards and track key metrics in one place saves time, makes trends easier to spot, and helps us share performance insights without having to pull everything together manually. Review collected by and hosted on G2.com.

There can be a learning curve when setting up reports and customizing dashboards, especially if you're working with multiple data sources. Some tasks aren't as intuitive as they could be, and troubleshooting data connections can take time. More user-friendly setup tools and clearer documentation would make the overall experience smoother. Review collected by and hosted on G2.com.

Looker stands out because of its intuitive visual data exploration capabilities. It makes it easy for non-technical team members to jump in, filter data, and build their own reports without constantly relying on data engineering resources. The web-based interface is smooth, sharing dashboards is incredibly straightforward, and it helps our team make truly data-driven decisions quickly. Review collected by and hosted on G2.com.

Dashboard performance can become quite sluggish when dealing with complex, multilayered queries or massive data sets, especially if the underlying data models aren’t perfectly optimized. In those cases, visualization loading times slow down significantly, which hurts the end-user experience. Additionally, the platform lacks some of the advanced, granular visual customization options found in competing BI tools, making it harder to build highly tailored dashboards. Review collected by and hosted on G2.com.

Relatively easy to use, with caveats. Can't beat the price point of FREE (with associated Google accounts). The internal coding languages are much easier to use compared to DAX and M from something like Microsoft PowerBI. Sizeable number of data connectors allowing you to visualize from a variety of sources. Data blending helps you naturally create joined datasets without doing much database work.

Performance wise, it can be slow, but this is tempered by how complex your query and datasets are. There are tricks to getting this to be more performant, but that comes with experience.

Support and onboarding is relatively non-existent, which is my largest gripe with Looker. Queries and datasets can fail and there is no info to tell you why. Error messages are useless, they literally say nothing. The interface can get stuck forcing you to reload regularly.

I am unaware of AI features in Looker Studio, but given how poorly it does for support and error solving, I would not be very confident in an AI analysis or assistance with intelligence in building visualizations or illuminating insights. Review collected by and hosted on G2.com.

Support and onboarding is relatively non-existent, which is my largest gripe with Looker. Queries and datasets can fail and there is no info to tell you why. Error messages are useless, they literally say nothing. The interface can get stuck forcing you to reload regularly. Review collected by and hosted on G2.com.

What I like most about Looker Studio is how easy it is to turn campaign data into clear, actionable insights. Since I work in digital marketing and programmatic media, I need to track performance across multiple campaigns and KPIs, and the ability to build interactive dashboards makes reporting far more efficient. I also appreciate how smoothly it integrates with Google products—especially Google Analytics and Google Sheets—which helps me visualize trends, spot optimization opportunities, and share results with stakeholders without spending hours assembling reports manually. Review collected by and hosted on G2.com.

What I dislike about Looker Studio is that it can become frustrating when I’m working with larger datasets or more complex reports. At times, dashboards load slowly, and troubleshooting data source connections—or blending data from multiple platforms—can take longer than I expect. Customizing visualizations and building calculated fields also comes with a learning curve, especially when I need more advanced reporting logic. Overall, it’s a great tool for everyday marketing reporting, but I wish it offered more flexibility and stronger performance for complex, data-heavy dashboards. Review collected by and hosted on G2.com.

What I like most about Looker is how it centralizes business data and makes it easier to explore metrics through customizable dashboards and reports. Its integration with SQL and data modeling helps ensure consistency across teams, while its visualizations make complex data easier to understand and support faster, data-driven decisions. Review collected by and hosted on G2.com.

Looker can have a steep learning curve, especially when working with LookML or building complex queries. Some dashboards can also take time to load, and customizing visualizations is sometimes more limited than in other analytics tools. A more intuitive interface and stronger AI-assisted features would improve the experience. Review collected by and hosted on G2.com.

How easily it surfaces account-level health and renewal trends without needing to pull manual reports from our CRM every day. The ability to filter dashboards by quarter, segment, and account telemetry allows me to track product usage and catch contraction or churn risks months ahead of contract renewals. Having automated dashboards and scheduled alerts set up directly for my account book saves hours of administrative prep before forecast reviews and QBRs, giving me a reliable single source of truth for revenue metrics. Review collected by and hosted on G2.com.

Exporting and manipulating data outside the platform could be smoother. Downloading large tables or scheduling CSV exports occasionally hits timeout limits or row caps, forcing manual workarounds. The dashboard filtering interface can also become clunky when juggling multiple cross-linked parameters, which occasionally confuses casual users who just need quick answers. Review collected by and hosted on G2.com.

I use Looker to track daily business performance, explore key metrics, and share real-time reports with my team. I like the clean, interactive dashboards because I can explore complex data with a few clicks, even without technical skills. The Explore feature lets me filter and slice data without writing SQL, and custom dashboard filters make it easy to compare timeframes and categories in seconds. I can schedule and share reports and alerts with teammates, which saves me routine work and keeps everyone on the same page. Looker brings our data into one source of truth, saves hours of manual reporting, reduces errors, and gives the team reliable, up-to-date insights quickly. Connecting it to our database was quick and straightforward, and once the core models were set up, rolling out dashboards and training business users was relatively smooth and simple. Looker gives us the scalability, consistency, and depth of analysis we needed. It’s a powerful, reliable BI platform that centralizes data and makes daily reporting effortless. Review collected by and hosted on G2.com.

The learning curve for LookML can be steep at first, especially when I set up custom dimensions and data models without technical help. Complex dashboards with heavy datasets can occasionally lag, and I’d like more built-in options for styling visuals, such as custom color palettes, flexible font sizing, and drag-and-drop layouts. Review collected by and hosted on G2.com.

LookML. Its centralized semantic modeling layer allows data teams to define business logic, metrics, and relationships once in code, ensuring consistent, reusable, and reliable data across the entire organization. Review collected by and hosted on G2.com.

Steep learning curve: LookML requires specialized developer buy-in and maintenance rather than quick drag-and-drop self-service.

Rigid visualization options: Built-in charts and dashboard styling are far less flexible and polished compared to tools like Tableau or Power BI.

Performance bottleneck: Because it pushes raw SQL directly to your data warehouse rather than relying on an internal caching engine, dashboard load times are completely at the mercy of your underlying warehouse's speed and cost.

High enterprise cost: Pricing can be prohibitively steep, especially for smaller teams or organizations just starting to scale their analytics. Review collected by and hosted on G2.com.