Blazer vs Looker: What are the differences?
Blazer: Share data effortlessly with your team. Works with PostgreSQL and MySQL. Share data effortlessly with your team; Looker: 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.
Blazer and Looker can be categorized as "Business Intelligence" tools.
Some of the features offered by Blazer are:
- Secure - works with your authentication system
- Variables - run the same queries with different values
- Linked Columns - link to other pages in your apps or around the web
On the other hand, Looker provides the following key features:
- Zero-lag access to data
- No limits
- Personalized setup and support
Blazer is an open source tool with 2.19K GitHub stars and 279 GitHub forks. Here's a link to Blazer's open source repository on GitHub.
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.
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 dataBusiness 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
- 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
- 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)
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.
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.
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