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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Eppo streamlines the process of conducting effective and trustworthy experiments by automating the analysis, diagnostics, and investigations directly within your data warehouse. It provides a centralized dashboard where your entire team can monitor various aspects of each experiment, including the metrics affected, their current status, confidence intervals, and additional metadata. The platform allows you to analyze traffic splits, verify the setup, formulate hypotheses, and much more. Experiment data in Eppo is configured using SQL snippets, ensuring a consistent and reliable source of truth for all metrics involved. All necessary data calculations are performed within your warehouse, guaranteeing that no raw events exit your system. Additionally, setting up experiment assignments in Eppo is straightforward, utilizing SQL snippets that draw from your data warehouse. Regardless of whether you're utilizing LaunchDarkly or a custom-built solution, as long as the data resides in your warehouse, it can be leveraged by Eppo. Furthermore, Eppo produces clear and comprehensible reports, making it accessible for team members who may not have formal training in statistics to interpret and utilize effectively. This accessibility promotes collaboration and informed decision-making across diverse teams.

Description

Kater is designed specifically for both data experts and those curious about data. It ensures that all structured data products are readily accessible to anyone with a query, even if they have no experience with SQL. Kater's mission is to unify data ownership across various departments within your organization. Meanwhile, Butler securely interfaces with your data warehouse's metadata and elements, facilitating coding, data exploration, and much more. Enhance your data for artificial intelligence through features like automatic intelligent labeling, categorization, and data curation. Our services assist you in establishing your semantic layer, metric layer, and comprehensive documentation. Additionally, validated responses are compiled in the query bank to deliver smarter and more precise answers, enhancing the overall data experience. This holistic approach empowers users to leverage data more effectively across all business functions.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Google Cloud BigQuery Yes 
Snowflake Yes 
Amazon Redshift Yes 
SQL No 

Integrations

Google Cloud BigQuery Yes 
Snowflake Yes 
Amazon Redshift No 
SQL Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Datadog

Founded

2010

Country

United States

Website

www.geteppo.com

Vendor Details

Company Name

Kater.ai

Website

www.kater.ai

Product Features

AB Testing

Audience Targeting No 
Campaign Segmentation No 
Funnel Analysis No 
Heatmaps No 
Landing Pages / Web Forms No 
Multivariate Testing No 
Split Testing No 
Statistical Relevance Analysis No 
Surveys No 
Test Scheduling No 
Visual Editor No 

Test Management

Automation Integration No 
Collaboration Tools No 
Pass/Fail Results Tabulation No 
Reporting / Analytics No 
Requirements Management No 
Test Scheduling No 
Test Tracking No 
Time/Budget Tracking No 

Product Features

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