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  5. GoodData vs Looker

GoodData vs Looker

OverviewDecisionsComparisonAlternatives

Overview

GoodData
GoodData
Stacks28
Followers44
Votes0
Looker
Looker
Stacks632
Followers656
Votes9

GoodData vs Looker: What are the differences?

Developers describe GoodData as "We help businesses monetize big data". Get a closer look at all your business data at the same time so you can gain actionable insight into sales, marketing, customer engagement and more. On the other hand, Looker is detailed as "Pioneering the next generation of BI, data discovery & data analytics". We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.

GoodData and Looker can be categorized as "Business Intelligence" tools.

Some of the features offered by GoodData are:

  • Track all of your important business data in one place at the same time. Graphs and charts analyze changes in revenue, performance, website traffic, customer activity and more, and match these against your business goals.
  • Automatically segment your audiences, products, customer feedback and other important categories related to your business.
  • Set indicators to monitor the status of your business goals throughout the quarter. Goal indicators alert you when you’re on target, off pace and when something needs more attention to keep you on track, minimizing potential risks and surprises.

On the other hand, Looker provides the following key features:

  • Zero-lag access to data
  • No limits
  • Personalized setup and support

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Advice on GoodData, Looker

Mohan
Mohan

CEO at UPJAUNT

Nov 10, 2020

Needs adviceonFirebaseFirebaseGoogle BigQueryGoogle BigQueryData StudioData Studio

We are a consumer mobile app IOS/Android startup. The app is instrumented with branch and Firebase. We use Google BigQuery. We are looking at tools that can support engagement and cohort analysis at an early stage price which we can grow with. Data Studio is the default but it would seem Looker provides more power. We don't have much insight into Amplitude other than the fact it is a popular PM tool. Please provide some insight.

497k views497k
Comments
Lyndon
Lyndon

Sep 11, 2022

Decided

Looking for an environment to help with exploring behavioral data, and creating dashboards for an account-based marketing approach. As we dug into options, I learned of Looker Actions, which enabled us to send the results of queries to the Segment Track and Identify api's. This enabled me to easily send CRM data to marketing tools integrated via the Segment CDP. At the time, no other BI environment provided a similar capability to automatically activate data, rather than just visualize it.

27.4k views27.4k
Comments
Vojtech
Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

353k views353k
Comments

Detailed Comparison

GoodData
GoodData
Looker
Looker

Get a closer look at all your business data at the same time so you can gain actionable insight into sales, marketing, customer engagement and more.

We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.

Track all of your important business data in one place at the same time. Graphs and charts analyze changes in revenue, performance, website traffic, customer activity and more, and match these against your business goals.;Automatically segment your audiences, products, customer feedback and other important categories related to your business.;Set indicators to monitor the status of your business goals throughout the quarter. Goal indicators alert you when you’re on target, off pace and when something needs more attention to keep you on track, minimizing potential risks and surprises.;Easily understand correlations between key business metrics: Does more effort and cost drive higher value deals? Which marketing lead sources have the highest ROI and conversion?;Measure activity at every stage of the sales funnel to identify which actions were taken, when they were taken and how many people took those actions. Compare these changes against previous weeks and set goals to evaluate the effectiveness of your campaign over a specific period of time.;Display multiple sets of related data for easy comparison. Using this information, you can identify differentiators and opportunities, and eliminate variables in your decision-making process.
Zero-lag access to data;No limits;Personalized setup and support;No uploading, warehousing, or indexing;Deploy anywhere;Works in any browser, anywhere;Personalized access points
Statistics
Stacks
28
Stacks
632
Followers
44
Followers
656
Votes
0
Votes
9
Pros & Cons
No community feedback yet
Pros
  • 4
    Real time in app customer chat support
  • 4
    GitHub integration
  • 1
    Reduces the barrier of entry to utilizing data
Cons
  • 3
    Price

What are some alternatives to GoodData, Looker?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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