- Metabase vs looker software#
- Metabase vs looker code#
- Metabase vs looker license#
However, Metabase's data modeling functionality is very limited, giving you only the most basic ability to define logic and relationships between data models. This Looker alternative lets you ask questions about your data and displays answers in formats that make sense, whether that's a bar graph or a detailed table. Metabase is an open-source business intelligence tool that makes analytics accessible to everyone without knowledge of SQL.
Strong permission control but complicated for small companies. Young product with some features still in progress. Seamless dbt integration: Perform data modeling and transformation at dbt layer, and push those definitions to Holistics BI layer. Define business logic, modeling and datasets using Holistics's custom DSL language (similar to LookML) for analytics. Git version control available: Commit your analytics code to Git and track every change, perform branching, code reviews to ensure accurate analytics workflow. Powerful delivery capabilities via Email/Slack Schedule and Alerts, Shareable links and Embedded Analytics. ETL & automated workflow with numerous integrations. Powerful data modeling for scalable data analytics stack. Centralized data management that prevents data knowledge from being locked to a few individuals. Self-service analytics with a drag-and-drop interface for non-technical users. Dashboards and data logic can also be serialized into code and checked into Git version control repository. Based on these predefined logics, business users can perform self-service data exploration, build their own reports, and get accurate analytics without repeatedly involving data analysts. With Holistics, data teams can create and govern a central definition of business metrics and data logic. Holistics is a powerful self-service analytics platform providing a centralized data modeling approach for BI teams. Sisense - A programmatic business intelligence platform that's designed to empower business users with data. Microsoft Power BI - A powerful, full-featured business intelligence and analytics service that includes data modeling, built on a Microsoft-centric stack. Qlik Sense - A dynamic self-service analytics and visualization tool that's relatively affordable. Metabase - An open-source business intelligence tool that makes analytics accessible to those without knowledge of SQL. Holistics - An all-in-one data platfrom with an integrated data modeling layer. But it requires an Enterprise License for this use-case. You may want to consider checking Metabase. It works with most databases / data warehouses (BigQuery, Redshift, Snowflake, Postgres, MySQL, etc) and has a simple and powerful UI and UX that lets anyone in your company ask their own questions.
Metabase is open source analytics software that makes it easy to ask questions of your data. Metabase | | REMOTE | Full-time | All Roles We're hiring for multiple positions across the team.
Ask HN: Tools to visualize data in SQL database?. Other open source tools like Lightdash and Superset exist which we may add to the stack as our data team grows. We chose Metabase because of it’s open source offering and easy to use interface. To analyze the data stored in Snowflake and Postgres, we use Metabase. Reference Data Stack for Data-Driven Startups. Try its built with node and uses plugins. Integration/extension/plugin system in Nodejs You sure looker isn't the issue? I just tried to check them out and is getting blocked by every browser due to an expired SSL certificate. If you aren’t familiar with Looker, it’s a BI platform that allows people who don’t “speak SQL” to analyze and visualize data.Ĩ0%+ Discrepancy between Ads Manager & Looker? LookML is Looker’s data modeling language. Spectacles is a continuous integration (CI) tool designed to validate your project’s LookML. Five Data Quality Tools You Should Know. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. The Data Stack Journey: Lessons from Architecting Stacks at Heroku and Mattermostįor Growth and larger, I would recommend Looker. 
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams.ĭashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Dbt for Data Quality Testing & Alerting at FINN
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