Geckoboard vs Looker

Overview

Geckoboard

Stacks94

Followers80

Votes7

Looker

Stacks632

Followers656

Votes9

Geckoboard vs Looker: What are the differences?

Developers describe Geckoboard as "Beautiful data dashboards, fast. View your key data in one place". From uptime and analytics to check-ins, Geckoboard is a hosted dashboard that’s available on any screen with a browser. Geckoboard monitors your businesses vital signs. 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.

Geckoboard and Looker are primarily classified as "Business Dashboards" and "Business Intelligence" tools respectively.

Some of the features offered by Geckoboard are:

A widget for every occasion.- We have native widgets that can bring in your CRM, Email, Infrastructure, Project Management, Sales & Finance, Social Media and Web Analytics data on to your Geckoboard.
Create your own widgets- Import your own data into a range of pre-built visualisations – from pie charts, to funnels and bullet graphs
Use our Custom Widgets API to create custom charts and widgets for your own dashboards, visualising your own data on Geckoboard.

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

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

"Takes a little bit to set up, once done, it's all yours" is the top reason why over 5 developers like Geckoboard, while over 2 developers mention "Real time in app customer chat support" as the leading cause for choosing Looker.

According to the StackShare community, Looker has a broader approval, being mentioned in 71 company stacks & 7 developers stacks; compared to Geckoboard, which is listed in 36 company stacks and 5 developer stacks.

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CLI (Node.js)

Manual

Advice on Geckoboard, Looker

Mohan

CEO at UPJAUNT

Nov 10, 2020

Needs adviceon

Firebase

Google BigQuery

Data 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

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

Michael

CTO at Barsala

Oct 2, 2020

Needs advice

Our engineering team is deciding which data warehouse to integrate with our system, and the BI tool to interface with it.

Preliminary question - Is it best practice to try and consolidate all data to be analyzed in one location (warehouse) then have the BI tool just interface with that one source to draw insights? Know some BI tools can connect to multiple but not sure if that's a crutch until teams are able to create a single destination for all of their data

Business Requirements

We're looking to create dashboards for each company KPI - with the primary KPI as the highlight of the dashboard, then other downstream metrics that impact it alongside of it
We're looking to sync data across the platforms we work with: Stripe, Twilio, Sendgrid, Salesforce, Facebook Ads, Google Ads, Paypal, Business Amazon account (not AWS)
For the BI tool, we want to be able to share dashboards, connect different API's and databases, have flexible date ranges, and a nice to have is easy to interface with if team members don't know SQL

Current stack

Segment to route user events to Google Adwords, Facebook Ads, Mixpanel, and S3
Mixpanel to analyze web and mobile metrics
Fullstory for enhanced mobile and web visibility
Salesforce as a CRM - majority of our data lies within here

Current thoughts

AWS Redshift seems to be well adopted, integrate with most tools, and we're already building on AWS so it seems to make sense. BigQuery seemed more expensive and Snowflake didn't seem terrible but wasn't in AWS ecosystem
Looker has looked the most impressive on the BI tool side, but open to discussion
We're looking to do this alongside other projects with an in-house engineer and a contractor - we're a bit limited on the technical resources and we're looking to at least get a first pass in and eventually enhance the integration as we have bandwidth

Guidance / advice is appreciated, even if it's only for data warehousing or BI tools specifically (and not both)

6.15k views6.15k

Comments

Detailed Comparison

Geckoboard	Looker
Build and share real-time business dashboards without the hassle. Geckoboard integrates directly with over 80 different tools and services to help you pull in your data and get a professional-looking dashboard in front of others in minutes.	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.
Get up and running quickly with 80+ integrations with popular tools, including spreadsheets, Google Analytics, Salesforce and Zendesk; Make data easy to understand with straightforward out-of-the-box visualisations; Comprehensive filters let you show the exact metrics you care about; Design custom dashboards with a simple drag-and-drop interface; Share a quick link to your live dashboard; Invite teammates to view or create dashboards; Schedule dashboard screenshots to regularly be sent out over email or to a Slack channel; Access responsive dashboards on your mobile device; Display and manage dashboards on an office TV; Restrict access by IP address	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 94	Stacks 632
Followers 80	Followers 656
Votes 7	Votes 9
Pros & Cons
Pros 7 Takes a little bit to set up, once done, it's all yours	Pros 4 Real time in app customer chat support 4 GitHub integration 1 Reduces the barrier of entry to utilizing data Cons 3 Price
Integrations
Airbrake Jenkins ProfitWell Salesforce Gorgias Pivotal Tracker Highrise Flurry Twilio FreshDesk	No integrations available

What are some alternatives to Geckoboard, Looker?

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'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: 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

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

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

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

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 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

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.

Related Comparisons

Some of the features offered by Geckoboard are:

A widget for every occasion.- We have native widgets that can bring in your CRM, Email, Infrastructure, Project Management, Sales & Finance, Social Media and Web Analytics data on to your Geckoboard.
Create your own widgets- Import your own data into a range of pre-built visualisations – from pie charts, to funnels and bullet graphs
Use our Custom Widgets API to create custom charts and widgets for your own dashboards, visualising your own data on Geckoboard.

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

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

Geckoboard vs Looker