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ease
features
design
support

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Write a Review

Description

Amazon Redshift is the preferred choice among customers for cloud data warehousing, outpacing all competitors in popularity. It supports analytical tasks for a diverse range of organizations, from Fortune 500 companies to emerging startups, facilitating their evolution into large-scale enterprises, as evidenced by Lyft's growth. No other data warehouse simplifies the process of extracting insights from extensive datasets as effectively as Redshift. Users can perform queries on vast amounts of structured and semi-structured data across their operational databases, data lakes, and the data warehouse using standard SQL queries. Moreover, Redshift allows for the seamless saving of query results back to S3 data lakes in open formats like Apache Parquet, enabling further analysis through various analytics services, including Amazon EMR, Amazon Athena, and Amazon SageMaker. Recognized as the fastest cloud data warehouse globally, Redshift continues to enhance its performance year after year. For workloads that demand high performance, the new RA3 instances provide up to three times the performance compared to any other cloud data warehouse available today, ensuring businesses can operate at peak efficiency. This combination of speed and user-friendly features makes Redshift a compelling choice for organizations of all sizes.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Baffle
DataLab
DataOps DataFlow
Datafi
Datazoom
DigDash
HubiFi
Layerup
Ledge
LightBeam.ai
Luzmo
Micromerce
Nucleon Database Master
Obviously AI
Salesforce Data 360
Sifflet
Veza
YepCode

Integrations

Amazon S3
Baffle
DataLab
DataOps DataFlow
Datafi
Datazoom
DigDash
HubiFi
Layerup
Ledge
LightBeam.ai
Luzmo
Micromerce
Nucleon Database Master
Obviously AI
Salesforce Data 360
Sifflet
Veza
YepCode

Pricing Details

$0.25 per hour
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/redshift/

Vendor Details

Company Name

Datadog

Founded

2010

Country

United States

Website

www.geteppo.com

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Product Features

AB Testing

Audience Targeting
Campaign Segmentation
Funnel Analysis
Heatmaps
Landing Pages / Web Forms
Multivariate Testing
Split Testing
Statistical Relevance Analysis
Surveys
Test Scheduling
Visual Editor

Test Management

Automation Integration
Collaboration Tools
Pass/Fail Results Tabulation
Reporting / Analytics
Requirements Management
Test Scheduling
Test Tracking
Time/Budget Tracking

Alternatives

Alternatives

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