Creating user-defined dashboards  |  Looker  |  Google Cloud (2023)

User-defined dashboards are created in the Looker UI. To compare and contrast user-defined dashboards and LookML dashboards, see the Comparing user-defined and LookML dashboards documentation page.

To create a dashboard, you must have:

Additionally, you must have access to the LookML models for any data you wish to use in the dashboard.

When you're creating a dashboard, keep in mind best practices for dashboard construction. Find information and recommendations about building performant dashboards in the Considerations when building performant Looker dashboards Best Practices page.

If the Can use Legacy Dashboards legacy feature is enabled on your Looker instance, you can revert a user-defined dashboard to a legacy dashboard.

Creating a dashboard from a folder

To create a dashboard from a folder:

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  1. Navigate to a folder where you'd like the dashboard to be located.
  2. Click the New button at the top right of the folder.
  3. Click Dashboard.

    A Create Dashboard window appears:

    Creating user-defined dashboards | Looker | Google Cloud (2)

  4. Enter a name for your new dashboard.

  5. Click Create Dashboard.

Next, your new blank dashboard appears. From here, you can add tiles or text by entering edit mode. To edit mode, select Edit dashboard from the dashboard menu or click the Edit Dashboard button in the center of the dashboard pane.

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Creating a dashboard from a Look or an Explore

To create a dashboard from a Look or an Explore:

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  1. Navigate to a Look or an Explore.

  2. Select Save from the menu.

  3. Select As new dashboard from the submenu.

    This opens a Save as a new Dashboard window.

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  4. On the Settings tab in the Title field, enter a name for your new dashboard.

    The name that you enter applies to both the tile and the dashboard. You can modify title names at any time. To change the tile name for a query tile, see the Editing a query tile title subsection on the Editing user-defined dashboards documentation page. To change the dashboard name, enter edit mode on the dashboard.

  5. Select the folder where you want to save your dashboard. You must have the Manage Access, Edit access level for the folder.

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  6. On the Filters tab, select whether to use the Look's or Explore's filters as the dashboard filters. Custom filters can't become dashboard filters, but they do remain as tile filters.

  7. Click Save.

    The Look or Explore will be saved as a query tile on the dashboard.

Adding tiles and text to a dashboard

Once you've created a dashboard, the next step is to add tiles and text to the dashboard.

The first tile you add to a dashboard takes up the entire width of the dashboard. Additional tiles you add are sized to one-third of the dashboard's width and are added horizontally under the first tile. Looker adds additional rows of tiles as necessary. You can move and resize tiles however you like. You can also edit tiles once you've created them to adjust the names of the tiles, the visualizations, or the underlying queries or Looks.

For any new tiles that are added to a dashboard, if they were created from the same Explore as a dashboard filter, the dashboard filter is automatically applied to that tile.

Think about the number and complexity of tiles and other elements that you add to a dashboard. More elements require more browser resources, which increases dashboard rendering time. If rendering becomes an issue, consider creating multiple dashboards with fewer elements on each. Find more recommendations about building performant dashboards in the Considerations when building performant Looker dashboards Best Practices page.

Types of dashboard tiles

There are three kinds of tiles you can add to a dashboard:

  • Query tiles
  • Look-linked tiles
  • Text tiles

Query tiles

Query tiles can be built directly within a dashboard or added to a dashboard from a Look or from an Explore.

A query tile is based on an independent query, one that is not linked to a Look. The query underlying a query tile belongs to the dashboard. Even if you use an existing Look to create a query tile, the Look is used only during the creation of the query tile. The tile is unaffected by any later changes to that Look and still exists on the dashboard even if the Look is deleted.

When possible, use query tiles to avoid cluttering your folders with unnecessary Looks.

Look-linked tiles

Look-linked tiles are added to a dashboard from a Look.

A Look-linked tile links the tile's underlying query to a Look. That Look is used when creating the tile and every time the dashboard is refreshed. The Look and the dashboard must be in the same folder. If you want to add Looks from a different folder, first copy the Look into the same folder as the dashboard.

A Look-linked tile is a good choice if you want to create, change, and test a query in one place but use it in multiple dashboards. If the Look changes, any tiles linked to that Look change. If the Look is deleted, dashboards show an error for the tile.

Text tiles

Text tiles are built directly within a dashboard.

You can use text tiles to define visual sections on a dashboard and to add descriptions. Text tiles in dashboards are designed to have flexible formatting and to default to look more like headings and descriptions than tiles.

There are two types of text tiles, each of which offers a different editing experience but results in the same kind of tile:

  • Text: A dashboard text tile that provides a visual editing experience
  • Markdown: Looker's pre-existing text tile option, which lets you use some HTML and a subset of the Markdown markup language to style the output of the tile

Building query tiles within a dashboard

If you're in a dashboard, you can build a query tile from inside the dashboard.

Once you're in the dashboard's edit mode, you can either:

  • Click Add from the top left of the dashboard pane and then click Visualization, or
  • Click the Add button in the center of the dashboard pane, if the dashboard is currently blank, and then click Visualization.

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Next, Looker displays a menu of Explores. Choose an Explore to build your query:

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Looker opens the Explore window to let you build your query:

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  1. Give your query a name. This will be the name of the tile on the dashboard.
  2. Select the fields and filters for your query.
  3. Configure your visualization options.
  4. Once you have set up your query, click Run.
  5. Click Save to save the query as a tile on your dashboard.

For any new tiles that are added to a dashboard, if they were created from the same Explore as a dashboard filter, the dashboard filter is automatically applied to that tile.

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When adding a dashboard tile that contains a funnel chart or a timeline chart, you may notice that the charts look different on the dashboard tile than they do in the Explore window. Additionally, map charts' tooltips function differently when viewed on dashboard tiles. For more information, visit the funnel chart, timeline chart, and map chart documentation pages.

Adding query tiles from an Explore

You can save a query tile to a dashboard directly from an Explore. Once you are in an Explore and have a query that you want to add to the dashboard:

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  1. Select Save from the gear menu and then select To an existing dashboard from the submenu.

    This opens an Add to Dashboard window:

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  2. Give your tile a title.

  3. Select the folder where the dashboard is located.

  4. Select the dashboard.

  5. Click Save to Dashboard.

A confirmation message appears at the top of the Explore once you have added it as a tile on a dashboard. If you click the title of the dashboard in the confirmation message, Looker takes you directly to the dashboard in edit mode. From there, you can move and resize tiles however you like.

For any new tiles that are added to a dashboard, if they were created from the same Explore as a dashboard filter, the dashboard filter is automatically applied to that tile.

When adding a dashboard tile that contains a funnel chart or a timeline chart, you may notice that the charts look different on the dashboard tile than they do in the Explore window. Additionally, map charts' tooltips function differently when viewed on dashboard tiles. For more information, visit the funnel chart, timeline chart, and map chart documentation pages.

Adding tiles from a Look

You can add both query tiles and Look-linked tiles to dashboards from a Look.

Adding query tiles from a Look

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  1. Navigate to a Look or an Explore.
  2. Select Save from the gear menu. This opens a submenu.
  3. Select To an existing dashboard from the submenu.

    This opens an Add to Dashboard window:Creating user-defined dashboards | Looker | Google Cloud (13)

  4. When you add a query tile from a Look, the tile is given the same title as the name of the Look (which can be edited later).

  5. Select the folder where the dashboard is located.

  6. Select the dashboard.

  7. Click Save to Dashboard.

Any tiles that you add to a dashboard through this method are not connected to the Look you created them from. You can edit the tiles without affecting the Look. You can edit or delete the Look without affecting the tiles.

A confirmation message appears at the top of the Look once you have added it as a tile on a dashboard. If you click the title of the dashboard in the confirmation message, Looker takes you directly to the dashboard in edit mode. From there, you can move and resize tiles however you like.

For any new tile that is added to a dashboard, if the Look it was based on was created from the same Explore as a dashboard filter, the dashboard filter is automatically applied to that tile.

Adding Look-linked tiles from a Look

You can save a Look-linked tile to a dashboard directly from a Look. However, the Look and the dashboard must be in the same folder.

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To add a Look-linked tile to a dashboard (see the Adding query tiles from a Look section for visuals):

  1. Make sure the dashboard and the Look are in the same folder, or copy the Look into the same folder as the dashboard.
  2. Select To an existing dashboard from the submenu. This opens an Add to Dashboard window.
  3. Make sure the folder that contains the Look and dashboard is selected.
  4. Select the dashboard.
  5. Click Add Look to Dashboard.

Any tiles that you add to a dashboard through this method are connected to the Look that you created them from and have the same title as the Look. If you edit the tile, the Look and any other tiles that are linked to that Look are affected. If you edit or delete the Look, the tiles are affected.

A confirmation message appears at the top of the Look once you have added it as a tile on a dashboard. If you click the title of the dashboard in the confirmation message, Looker takes you directly to the dashboard in edit mode. From there, you can move and resize tiles however you like.

For any new tile that is added to a dashboard, if the Look it was based on was created from the same Explore as a dashboard filter, the dashboard filter is automatically applied to that tile.

When adding a dashboard tile that contains a funnel chart or a timeline chart, you may notice that the charts look different on the dashboard tile than they do in the Look. Additionally, map charts' tooltips function differently when viewed on dashboard tiles. For more information, visit the funnel chart, timeline chart, and map chart documentation pages.

Adding text

Once a dashboard is in edit mode, you can add text tiles to it by clicking Add from the top left of the dashboard pane.

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There are two types of text tiles, each of which offers a different editing experience but results in the same kind of tile:

  • Text: A dashboard text tile that provides a visual editing experience
  • Markdown: Looker's pre-existing text tile option, which lets you use some HTML and a subset of the Markdown markup language to format the tile

Once you save your Text or Markdown tile, you will see it at the bottom of the dashboard. You can then move and resize your text tile just as you would move and resize other tiles.

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Adding Text tiles

Text tiles are dashboard text tiles that provide a visual editing experience. To format the tile's text, highlight the text that you want to format, and click the icons at the top of the tile. As you edit the text tile, it will change to show you how it will appear when you save it.
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Click Save on the dashboard to save your tile. To edit an existing tile, enter edit mode, click the tile text to make your changes, and save the dashboard.

Adding Markdown tiles

Markdown tiles are dashboard text tiles that can be formatted using HTML and Markdown.

Once you select Markdown, a window appears where you can add a title, subtitle, and body. These elements are optional.

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Titles and subtitles support some HTML, including links and images. You can also use some HTML in the bodies of Markdown tiles. To understand how Looker renders HTML, see the HTML sanitization documentation page.

Body text supports a subset of the Markdown markup language. See the Using Markdown in Markdown tiles documentation page for more information about which Markdown syntax is supported in the body text.

Adding buttons

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The Button option lets you add custom buttons to your dashboard. You assign the button a link to either a Looker URL or an external URL. Then, when a dashboard viewer selects the button, they are taken to the URL.

To add a button to your dashboard:

  1. Make sure the dashboard is in edit mode.
  2. Select Button from the menu.
  3. A new button appears at the top of the dashboard with an open button edit window:

    Creating user-defined dashboards | Looker | Google Cloud (19)

  4. In the Content tab of the button edit window, complete the following fields:

    • Label: This text will appear on the button. The button expands its width to accommodate the label until the label reaches the width of its tile box. Once the label reaches that limit, it will be truncated. If the label is truncated, it can be repeated in the Description field.
    • Link: This is the link that the button takes viewers to.

      In an embedded experience, links to dashboards should contain embed/ in the link URL.

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    • Description: This description will appear when you hover over the button. If you don't enter a value, the description defaults to the link.

    • Open in a new browser tab: Select this option to automatically open the link in a new browser tab rather than navigating away from the dashboard. This option defaults to enabled.

  5. In the Design tab of the button edit window, you can customize the appearance of the button:

    • Button Style: Select one option:

      • Filled: Button has a colored background and white text.
      • Outlined: Button has an outline and colored text.
      • Transparent: Button has no outline or background. It has only colored text.
    • Color: Select a color from one of Looker's color collections in the Themes tab, or customize a color in the Custom tab. Then select Save.

    • Button Size: Choose Small, Medium, or Large to set the size of the button text. The height of the button adjusts to fit the text. The default size is medium.

    • Alignment: Choose Left, Center, or Right to horizontally align the button within its tile box. The button's tile box defaults to full width, and the alignment defaults to center.

  6. Click Save to save your changes.

Moving and resizing buttons

Once added, a button can be moved and its tile box can be resized just as with any other tile.

By default, a new button is placed at the top of a dashboard within a tile box that is set to the full width of the dashboard.

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Resizing a button's tile box may affect the placement of other dashboard elements, and it may affect a button's width. However, you can only adjust a button's text size or height through the Button Size option in the button edit window.

Adding data actions to tiles

If you have the develop permission for the model that a tile is based on, you can add data actions to that model. Data actions allow dashboard viewers to perform tasks with other tools directly from the tile, such as sending an email or setting values in other applications.

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In the example above, the Phone field has a Twilio action. When you click the phone number and select the Twilio action, a Twilio pop-up prompts you to enter a message. Then Twilio sends that message to the phone number.

See the action parameter documentation page for more information.

Adding dashboard filters to a dashboard

The queries underlying dashboard tiles may include filters, but you can also add filters to a dashboard itself, which can affect all tiles or just select tiles. Dashboard filters allow users to narrow a dashboard's results to only the data they are interested in.

To add dashboard filters, you must have at least one query tile or Look-linked tile on the dashboard. Then, you can add filters by entering edit mode and selecting Filters from the top toolbar:

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To learn more about building standard dashboard filters, visit the Adding and editing user-defined dashboard filters documentation page.

To learn about turning on dashboard cross-filters, visit the Cross-filtering dashboards documentation page.

Configuring dashboard settings

The dashboard settings can be accessed at the upper left of the dashboard in the blue toolbar. The default settings when you create a dashboard are:

See the Editing user-defined dashboards documentation page for more information about editing these settings.

Adding a description to a dashboard

To add a description to a dashboard, make sure the dashboard is in edit mode, and then select Show dashboard details from the dashboard three-dot menu.The Description text box will then become editable.

Once you've added a description, click Save to save the change.

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Reverting to a legacy dashboard

If the Can use Legacy Dashboards legacy feature is enabled on your Looker instance, you can revert a user-defined dashboard to a legacy dashboard through the API, or you can change the dashboard URL to temporarily view the legacy version of the dashboard.

Improving dashboard performance using aggregate awareness

LookML developers may be able to improve dashboard performance by using aggregate awareness. With aggregate awareness, developers can create aggregate tables under LookML explore parameters, which can optimize queries for one or more tiles in a dashboard. The first step is to get the aggregate table LookML, which appears under the Get LookML option in the dashboard three-dot menu. For more information, see the aggregate_table parameter documentation page.

Find other information and recommendations about building performant dashboards in the Considerations when building performant Looker dashboards Best Practices page.

FAQs

Why is Looker better than tableau? ›

Looker is better when it comes to analytics. While Tableau is excellent with analytics Looker has the advantage due to its platform-exclusive analytics function, Looker Blocks. The blocks are pre-built but fully customizable to the user's needs.

What is a LookML dashboard? ›

LookML dashboards are created by LookML developers and stored as version-controlled files. By default, they appear in the LookML dashboards folder of your Looker instance. To compare and contrast LookML dashboards and user-defined dashboards, see the Comparing user-defined and LookML dashboards documentation page.

Who can create their own looks and dashboards in Looker? ›

Looks and dashboards are the two major building blocks in Looker. Looks: Looks are the saved visualizations that can be created by the Business User. These single visualizations are created in the explore section of the Looker and are used to understand and analyze the data.

Why is Looker so slow? ›

“My Looker is slow”

Too slow is any dashboard that takes more than a few seconds. The more Looks (e.g. chart) in each dashboard, the more queries to queue up. In short, each query behind a Look has to be even faster. Looker has plenty of great options for improving performance.

Can you use Looker with AWS? ›

Looker connects directly to your AWS data such as Amazon Redshift, Amazon Athena, Amazon Aurora, and Amazon RDS. Looker is a modern business intelligence and data exploration platform that allows users of all skill levels to easily explore and visualize data and find insights.

Is Looker cloud based? ›

Looker multicloud support facilitates data experiences. Run Looker natively on Microsoft Azure, Amazon Web Services (AWS), and Google Cloud. Connect Looker to data in your cloud(s) including on-premises systems, Azure, AWS, and Google Cloud.

Is LookML similar to SQL? ›

In short, LookML is SQL evolved. It leverages SQL's power in a way that's familiar to analysts, while abstracting away the low-level concerns that analysts usually have to manage. It's a powerful language with a huge community of developers who support each other.

What is a user defined dashboard Looker? ›

A Looker dashboard is a collection of queries displayed as visualizations on a screen. Users can alter filters on dashboards, apply alerts to tiles, set up dashboard delivery schedules, and download a dashboard's data, among other things.

Is Looker tool free? ›

Tap into the value of your data with a free trial. Looker can make it easy for users, across departments to find, explore and understand the data that drives your business.

Is Looker a competitor to Tableau? ›

Based on the Looker vs. Tableau feature evaluation, Tableau ultimately holds the advantage in these requirement categories: data visualization, data management and data preparation. In comparison, Looker provides better analytics and data querying functions but falls short of Tableau's advantages.

Why is Looker so popular? ›

Looker is a powerful business intelligence (BI) tool that can help a business develop insightful visualizations. It offers a user-friendly workflow, is completely browser-based (eliminating the need for desktop software) and facilitates dashboard collaboration.

Can Looker do ETL? ›

Extensible as open-sourced. With Airbyte, you can easily adapt the open-source Looker ETL connector to your exact needs. All connectors are open-sourced.

Do you need SQL for Looker? ›

Looker resolves any LookML substitutions and then passes your query to your database, so the query should be in valid SQL for your database dialect. For example, each dialect has slightly different SQL functions with specific parameters that should be passed to the function.

Is Looker difficult to use? ›

Looker is a powerful marketing and project data management software with a very flexible and useful real time data analytics generation. Looker has a very professional and easy interface to access and the ability to manage multiple marketing channels through Looker functions is excellent.

Do you need to know SQL for Looker? ›

Writing LookML requires an understanding of SQL queries. You don't have to be a SQL guru, and even beginners can create powerful Looker models. But, in general, the deeper you go in LookML, the more you benefit from a deeper knowledge of SQL.

What is Looker in cloud? ›

Looker is an enterprise platform for business intelligence, data applications, and embedded analytics. Looker helps you explore, share, and visualize your company's data so that you can make better business decisions.

Can Looker read from S3? ›

Looker supports connections to Amazon Athena, an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Amazon Athena is serverless, so there is no infrastructure to manage.

Can Looker connect to Databricks? ›

Looker authenticates to Databricks by personal access tokens. Follow the Databricks documentation to create a personal access token for a Databricks user to use in Looker. Add permissions to this user with GRANT . At a minimum, the Looker user should have SELECT and READ_METADATA .

What are the limitations of Looker? ›

Looker Limitations:
  • Eye-watering price point. The entry price point is around $35000/year - not many companies can afford that.
  • Limited visualization.
  • Steep learning curve. LookML is not easy to learn.
23 Aug 2022

What is Snowflake and Looker? ›

Looker supports OAuth for Snowflake connections, meaning that each Looker user authenticates in to Snowflake and authorizes Looker to run queries on the database with their own Snowflake user account. OAuth lets database administrators: Audit which Looker users are running queries against the database.

Is Google Data Studio is same as Looker? ›

Looker is a modern enterprise platform for business intelligence and analytics, that helps organizations build data-rich experiences tailored to every part of their business. Data Studio is an easy to use self-serve BI solution enabling ad-hoc reporting, analysis, and data mashups across 500+ data sets.

What programming language is Looker? ›

Looker uses a model written in LookML to construct SQL queries against a particular database. LookML is a dependency language like make, as opposed to an imperative language like C or Ruby. LookML provides predefined data types and syntax for data modeling. LookML syntax has a structure that is clear and easy to learn.

Is Looker worth learning? ›

Overall: Looker is a powerful marketing and project data management software with a very flexible and useful real time data analytics generation. Pros: Looker has a very professional and easy interface to access and the ability to manage multiple marketing channels through Looker functions is excellent.

Is OLAP a Looker? ›

Looker Competitors

For example, Looker does not offer online analytical processing (OLAP), which you'll find in Tableau. However, Looker is largely considered to have a more robust analytics engine. What's great is that you don't have to use any of these platforms exclusively.

Is Looker the same as SQL? ›

Fundamentally, Looker is a tool that generates SQL queries and submits them against a database connection. Looker formulates SQL queries based on a LookML project that describes the relationship between tables and columns in the database.

How much does Looker cost? ›

Looker entry price is around $35K/year (~$2900/month). Add on: $30 for dashboard viewers, $60 for dashboard creators, and $120 for developer (who can write LookML) The $35K threshold has been around since 2018, so it's unlikely that the price point is any lower in 2022 (especially when you take in the inflation).

What is Looker similar to? ›

A popular Looker alternative, Tableau is a Salesforce-powered business intelligence tool that uses its own in-memory data store. Here's what stands out: No-code, natural language queries. Data visualisations are intuitive and easy to interact with, which lets your whole team explore data.

Is Google dashboard free? ›

Unlock the power of your data with interactive dashboards and beautiful reports that inspire smarter business decisions. It's easy and free.

Does Google have a dashboard? ›

To access, users sign into a Google account with username and password. Once signed in, select Google account settings option in top right corner of the web page and then click on the Dashboard link titled View data stored with the account.

Is Google Analytics a Looker? ›

Companies who have upgraded to Google Analytics 4 can now easily deploy advanced analytics in Looker, allowing them to dig into customer behavior and engagement across devices and platforms.

Which tool is best for data visualization? ›

  • The Best Data Visualization Software of 2022.
  • Microsoft Power BI.
  • Tableau.
  • Qlik Sense.
  • Klipfolio.
  • Looker.
  • Zoho Analytics.
  • Domo.
18 Oct 2022

Does Tableau have a future? ›

The Future of Tableau Developers

With so much crucial data to deal with, small and large organizations need resources who can interact and analyze data based to gain vital insights from it. You will be amazed to know that Tableau is considered as the jewel among IT working professionals.

Can Looker handle big data? ›

Looker can query nested data, write user-defined functions, and leverage other BigQuery features.

Did Google by Looker? ›

Google has unified all its business intelligence tools under the Looker brand, it announced at Cloud Next 2022, its virtual user's conference. Looker will now be the face of all existing Google Cloud data analytics programs.

Can you use Python in Looker? ›

Looker SDK For Python. The Looker SDK for Python provides a convenient way to communicate with the Looker API available on your Looker server. The library requires python3. 6+ and is annotated using the typing module.

What database does Looker use? ›

Choose your database

Looker can connect with BigQuery, Redshift, Snowflake, and 50+ supported SQL dialects, so you can link to multiple databases, avoid database lock-in, and maintain multicloud data environments.

Can Looker connect to SQL? ›

Looker requires "SQL Server Authentication" on your MSSQL server. If your MSSQL server is configured as "Windows Integrated Authentication" only, change the server configuration to "Windows Integrated Authentication and SQL Server Authentication." If this is not set properly Looker will be unable to connect.

Can Looker write to database? ›

The platform for choice in database business intelligence

Looker writes efficient and reusable SQL directly to your database. Give your organization access to data so they can be informed at the point of decision.

Can Looker pull data from Google Sheets? ›

Connected Sheets for Looker brings connectivity between Google Sheets and the 60+ data sources available within Looker's open ecosystem. This integration creates a live connection between Looker and Sheets, so that 1) your data is always up to date, and 2) access is secured based on the user exploring the data.

Can Looker read JSON? ›

Looker doesn't have a native JSON field type.

Does Looker have an API? ›

The Looker API is a secure, "RESTful" application programming interface for managing your Looker instance and fetching data through the Looker data platform. With the Looker API, you can write applications or automation scripts to provision new Looker user accounts, run queries, schedule reports, etc.

How many rows can Looker handle? ›

Looker supports up to 5,000 rows and an unlimited number of columns for unpivoted queries. For browser performance, 50 or fewer columns is recommended.

Is Looker or Tableau easier to learn? ›

Bottom line: Consider Looker if your data teams need to easily build data modeling. If you need easy-to-learn visualization capabilities, especially for newer teams, consider Tableau.

How long does it take to learn Looker? ›

Somewhere between 4-6 weeks of full-time Looker work is probably enough if you're a quick learner.

What is better Tableau or Looker? ›

Based on the Looker vs. Tableau feature evaluation, Tableau ultimately holds the advantage in these requirement categories: data visualization, data management and data preparation. In comparison, Looker provides better analytics and data querying functions but falls short of Tableau's advantages.

What are the benefits of Looker? ›

Looker is a powerful business intelligence (BI) tool that can help a business develop insightful visualizations. It offers a user-friendly workflow, is completely browser-based (eliminating the need for desktop software) and facilitates dashboard collaboration.

Why do companies use Looker? ›

A data platform to power analytics across clouds, databases, and data warehouses. As a recognized leader in business intelligence, Looker can connect directly to your cloud or multicloud database environment to help create a single access point for all your data.

Why is Looker good? ›

Looker is an innovative BI product with its unique approach to data modeling. It is great for experienced data teams that have complex data modeling needs and appreciate maintainability and reusability.

How much does Looker cost per month? ›

Looker entry price is around $35K/year (~$2900/month). Add on: $30 for dashboard viewers, $60 for dashboard creators, and $120 for developer (who can write LookML) The $35K threshold has been around since 2018, so it's unlikely that the price point is any lower in 2022 (especially when you take in the inflation).

What programming language does Looker use? ›

Looker uses a model written in LookML to construct SQL queries against a particular database. LookML is a dependency language like make, as opposed to an imperative language like C or Ruby. LookML provides predefined data types and syntax for data modeling. LookML syntax has a structure that is clear and easy to learn.

What type of SQL is Looker? ›

Fundamentally, Looker is a tool that generates SQL queries and submits them against a database connection. Looker formulates SQL queries based on a LookML project that describes the relationship between tables and columns in the database.

Can I use Looker for free? ›

Looker Studio is a free tool that turns your data into informative, easy to read, easy to share, and fully customizable dashboards and reports.

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Author: Kimberely Baumbach CPA

Last Updated: 12/15/2022

Views: 5746

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Name: Kimberely Baumbach CPA

Birthday: 1996-01-14

Address: 8381 Boyce Course, Imeldachester, ND 74681

Phone: +3571286597580

Job: Product Banking Analyst

Hobby: Cosplaying, Inline skating, Amateur radio, Baton twirling, Mountaineering, Flying, Archery

Introduction: My name is Kimberely Baumbach CPA, I am a gorgeous, bright, charming, encouraging, zealous, lively, good person who loves writing and wants to share my knowledge and understanding with you.