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  4. Video Marketing And Analytics
  5. Looker vs Wistia

Looker vs Wistia

OverviewDecisionsComparisonAlternatives

Overview

Wistia
Wistia
Stacks85
Followers48
Votes0
Looker
Looker
Stacks632
Followers656
Votes9

Looker vs Wistia: What are the differences?

Developers describe Looker 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. On the other hand, Wistia is detailed as "Video hosting, built for businesses". Host, manage, and track your videos with the best video marketing tools.

Looker and Wistia are primarily classified as "Business Intelligence" and "Video Marketing and Analytics" tools respectively.

Some of the features offered by Looker are:

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

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

  • Player Controls
  • No ads!
  • Video SEO

DigitalOcean, 9GAG, and CircleCI are some of the popular companies that use Looker, whereas Wistia is used by Mailchimp, Zumba, and Implisit. Looker has a broader approval, being mentioned in 71 company stacks & 7 developers stacks; compared to Wistia, which is listed in 37 company stacks and 4 developer stacks.

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Advice on Wistia, Looker

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
Michael
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
Wei
Wei

CTO at Flux Work

Jan 8, 2020

Decided

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

230k views230k
Comments

Detailed Comparison

Wistia
Wistia
Looker
Looker

It is designed exclusively to serve companies using video on their websites for marketing, support, and sales.

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.

Player controls;No ads;Video SEO;Video heatmaps & engagement graphs;Social sharing;Call-to-action;Captions;Javascript player API;Javascript player events;Data API;Upload API;Stats API;Construct an embed code guide;Embedding options;Responsive design;Playlist API;Upload widgets
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
85
Stacks
632
Followers
48
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
Integrations
Tumblr
Tumblr
WordPress
WordPress
HubSpot
HubSpot
Salesforce Sales Cloud
Salesforce Sales Cloud
Shopify
Shopify
Zapier
Zapier
Weebly
Weebly
Blogger
Blogger
Squarespace
Squarespace
Basecamp
Basecamp
No integrations available

What are some alternatives to Wistia, 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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