Was ist CoolaData?
Cooladata is an end-to-end solution for gaming that lets you stream, unify, analyze, visualize and share all of your data to empower marketing, product and data teams to better convert, retain and grow your customers and make smarter decisions, faster. For data teams at small to mid-sized gaming companies considering building their own data warehouse for behavioral analysis, Cooladata gives them a solution as powerful and flexible at a fraction of the cost.
Wer verwendet CoolaData?
Online gaming, mobile gaming, social gaming, online betting, casino gaming, embedded games. Companies with multiple games realize the need for a unified data platform. Welcome to Cooladata.
Wo kann CoolaData bereitgestellt werden?
Cloud, SaaS, webbasiert
Über den Anbieter
- Cooladata
- Ansässig in Portland, USA
- 2012 gegründet
- 24/7 Live-Support
Sprachen
Englisch
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Über den Anbieter
- Cooladata
- Ansässig in Portland, USA
- 2012 gegründet
- 24/7 Live-Support
Sprachen
Englisch
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Bewertungen über CoolaData
Ronnie M.
Excellent customer support, smooth onboarding and we started getting valuable insights immediately.
Kommentare: We were trying to build a BI platform over BigQuery, which is a great platform but still requires a lot of management and this took much longer than we wanted just to get off the ground. Working with CoolaData allowed us to get up and running very quickly and start gaining insights and implement BI related features for our customers. I'm especially happy with the modular, layered design of the system, allowing us to quickly build and embed reports and dashboards using wizards, but also allowing us to customize the underlying SQL or rewrite it from scratch when we need more control.
Vorteile:
The onboarding was very simple and quick. Took us an hour to first event on the system and less than 2 weeks to full integration with our system in production for both internal and external uses. The customer success team was extremely helpful throughout this process - both their availability and technical ability were excellent. This allowed us to quickly resolve issues and question during the integration and going forward.
Nachteile:
The documentation is a bit sparse, but since customer success was so helpful this was not much of an issue.
Guy R.
Great service one stop shop for all our Big Data analytics
Vorteile:
fast integration everything is in one place good performance for quires which runs over hundreds of millions rows great team! helping with any issue or request with real personal touch
Nachteile:
would love to see more features added into the service such machine learning capabilities for real time decision based on historical data already in the service
Andrea E.
I use Cooladata to investigate how our company's clients behave in using our application
Kommentare: Better understanding of user behaviour
Vorteile:
The speed of response, the ability to integrate different sources of data, and the Cooladata Customer Support.
Nachteile:
Not easy to use for those who don't have a basic knowledge of the CQL language in order to take full advantage of the platform's potential.
Andrew S.
Excellent UI and customer support....two things you won't get with competitors
Kommentare: Product insight at price point we wouldnt get elsewhere....it scales
Vorteile:
UI is v friendly for non SQL type users (+ ability to write raw sql for advanced users), makes it extremely easy to expose super interesting data points we don't get anywher else
Nachteile:
Occasional speed of load times, API doesnt provide enough feedback of why things go wrong (better documentation and error codes required for devs)
Thedath K.
Cooladata - The coolest BI tool you will ever find
Vorteile:
# Great support # CoolaSQL - you don't need to worry about time filtering anymore # Beautiful graphs # Has cohort analysis (lack in most popular BI tools) # Vital integration support (Red-Shift, etc..)
Nachteile:
There should be timezone configuration option in the project. That way, same reports/dashboards in different projects, will show the graphs according to their local time. This option has to be in the graphs embedding also.