It also allows connections through third party applications such as Green Plum and Amazon Athena.ĭata modeling is based on LookML, a machine learning framework that delivers powerful features and a flexible framework for analytics. However, with a rich and open set of APIs and native connectors, Looker pulls data from any SQL database as well as popular platforms and applications like Magento, GSuite, LinkedIn, Shopify, ADP, Snowflake and Zendesk. It offers highly rated apps, including one for CRM.Īn obvious advantage of Looker is that it ties into Google products, including BigQuery. Tableau is a clear winner for use on desktops as well as iOS and Android mobile devices. This allows it to accommodate large volumes of data. In addition, the platform offers Snowflake and dimensional data models that connect to data warehouses and other repositories. There are data science integrations, dashboard application integrations and embedded analytics capabilities that can be tied to web portals and customer-facing products. Yet, it also can pull data from Dropbox, Box, Google Drive, OneDrive and many other file and data storage repositories.Īs part of Salesforce, Tableau delivers integrated BI with the popular CRM platform. The Tableau solution delivers native collectors for a wide array of sources and applications, including Microsoft Excel, SQL Server, Google BigQuery, Snowflake, SAP HANA, Salesforce, Splunk and Amazon Redshift. Tableau: Comparing Data Integration and Modeling Looker prevails over Tableau in two key categories: content creation and consumption.Īlso see: Top Data Visualization Tools Looker vs. It delivers a rich array of highly adaptable and attractive visualizations for technical and line-of-business users, and it offers an extensive modeling language. The solution provides a visually appealing and flexible dashboard (Looks) that connects to numerous data sources and cloud frameworks. The Looker BI platform, now part of Google Cloud, delivers sophisticated yet user friendly drag-and-drop data modeling, though the application tends to focus more heavily on the needs of IT teams and BI analysts.Ĭloud-only Looker pulls data from a centralized and dedicated database, and thus offers real-time visibility and a single source of truth. Tableau has an edge over Looker in areas such as interactive visual exploration and analytics dashboards. While the platform is ideal for data scientists and more technical users, it’s easy enough for business users to use. The images are easy to modify, adjust and adapt as trends change. Visualizations are presented via a desktop app in the form of graphics, charts, infographics, heat maps, clusters and numerous other representations. The platform offers unsurpassed flexibility along with advanced tools for handling almost any type of data and level of complexity, across industries. What makes Tableau so appealing for so many businesses is the ability to view a rich and varied array of data visualizations. With this in mind, here’s a look at the strengths, weaknesses and potential use cases for Looker and Tableau.Īlso see: Best Data Analytics Tools Looker vs. As with any software, it’s important to understand how your organization consumes and processes data, what objectives you have and what each of these packages offers. Yet there are key differences between the two platforms. In addition, both Looker and Tableau are highly rated by user communities, including in key areas such as security and access controls, the quality of technical support and the strength of the peer user community. Looker and Tableau are two premier business intelligence and data analytics applications. Both deliver a remarkable array of powerful features and capabilities, including strong data ingestion, sophisticated dashboards, rich data visualizations and leading-edge features that tap machine learning (ML).
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