Amazon Quicksight vs Amplitude vs Interana

Overview

Amplitude

Stacks888

Followers701

Votes36

Interana

Stacks5

Followers13

Votes0

Amazon Quicksight

Stacks207

Followers394

Votes5

Amazon Quicksight vs Amplitude vs Interana: What are the differences?

Key Differences between Amazon Quicksight, Amplitude, and Interana

Data Visualization Capabilities: Amazon QuickSight primarily focuses on providing interactive data visualization tools with features like drag-and-drop functionality for creating dashboards and charts. In contrast, Amplitude is designed specifically for product analytics, offering advanced event tracking and user behavior analysis capabilities. Interana, on the other hand, is more specialized in handling time-series data and providing real-time analytics for large datasets.
Integration Options: Amazon QuickSight offers seamless integration with various data sources such as Amazon Redshift, RDS, and S3, making it an ideal choice for organizations using AWS services. Amplitude, on the other hand, integrates well with web and mobile applications to track user interactions and behavior. Interana, being focused on time-series data, integrates with data platforms like Kafka and Hadoop for handling high-volume streaming data.
User-Friendliness and Ease of Use: Amazon QuickSight is known for its ease of use with a user-friendly interface suitable for non-technical users. Amplitude, on the other hand, requires some technical knowledge to set up event tracking and data analysis. Interana, with its complex data processing capabilities, is more suitable for data analysts and engineers who require in-depth analysis of large datasets.
Cost and Pricing Model: Amazon QuickSight offers a pay-per-session pricing model, allowing users to pay only for the actual usage of the software. Amplitude, on the other hand, follows a tiered pricing structure based on the number of MAUs (Monthly Active Users). Interana typically offers enterprise-level pricing customized based on the specific requirements of the organization.
Real-Time Analytics Capabilities: While Amazon QuickSight and Amplitude offer real-time data visualization capabilities to some extent, Interana is specifically designed for real-time analytics, making it more suitable for organizations requiring immediate insights into streaming data. Amazon QuickSight and Amplitude may have slight delays in processing and visualizing real-time data due to their broader focus on data visualization and analysis.
Scalability and Performance: Amazon QuickSight is highly scalable and can handle large datasets efficiently with its cloud-based architecture. Amplitude is optimized for user behavior analysis but may face scalability challenges with extremely large datasets. Interana, being specialized in time-series data, offers high performance and scalability capabilities for handling complex analytics tasks on massive datasets.

In Summary, the key differences between Amazon QuickSight, Amplitude, and Interana lie in their focus on data visualization capabilities, integration options, user-friendliness, pricing models, real-time analytics capabilities, and scalability/performance features.

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Detailed Comparison

Amplitude	Interana	Amazon Quicksight
Amplitude provides scalable mobile analytics that helps companies leverage data to create explosive user growth. Anyone in the company can use Amplitude to pinpoint the most valuable behavioral patterns within hours.	Interana is a solution for exploring, monitoring, and sharing data about your product, customers, and business. Run it on premises or in the cloud, share with tens to thousands of co-workers, and scale from millions to trillions of events.	Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.
Real-time user analytics, including funnels, retention, flexible user segmentation, and revenue analysis.; Microscope: Explore the user behavior behind any data point. Compare the behavior of engaged vs. churned users.; Growth Discovery Engine: Identify behaviors that are predictive of retention or conversion and drive explosive user growth.; Direct SQL Access via Amazon Redshift: Get access to all of your raw data with zero work on your end.	-	Pay-per-session pricing; Deliver rich, interactive dashboards for your readers; Explore, analyze, collaborate; SPICE (super-fast, parallel, in-memory, calculation engine); ML Insights
Statistics
Stacks 888	Stacks 5	Stacks 207
Followers 701	Followers 13	Followers 394
Votes 36	Votes 0	Votes 5
Pros & Cons
Pros 11 Great for product managers 9 Easy setup 6 Efficient analysis 2 Behavioral cohorts 2 Chart edits get their own URLs Cons 4 Super expensive once you're past the free plan	No community feedback yet	Pros 1 Better integration with aws 1 More features (table calculations, functions, insights) 1 Good integration with aws Glue ETL services 1 Dataset versionning 1 Super cheap Cons 1 Very basic BI tool 1 Only works in AWS environments (not GCP, Azure)
Integrations
Looker Segment Urban Airship Amazon Redshift Mode Optimizely Periscope	Kafka Amazon S3 Azure Storage Segment	Amazon RDS Amazon S3 Amazon Aurora Amazon Redshift

What are some alternatives to Amplitude, Interana, Amazon Quicksight?

Mixpanel

Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience.

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'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: 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

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.

CleverTap

We help over 3500 brands, including Jio, Cleartrip, BookMyShow, Curiosity, McDonalds, Sony, DC Comics, and Denver Broncos understand app behavior, and make their marketing data-driven.

Countly

Countly is a product analytics solution and innovation enabler that helps organizations track product performance and user journey and behavior across mobile, web, and desktop applications.

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

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 is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Related Comparisons

Amazon Quicksight vs Amplitude vs Interana: What are the differences?

Key Differences between Amazon Quicksight, Amplitude, and Interana

Data Visualization Capabilities: Amazon QuickSight primarily focuses on providing interactive data visualization tools with features like drag-and-drop functionality for creating dashboards and charts. In contrast, Amplitude is designed specifically for product analytics, offering advanced event tracking and user behavior analysis capabilities. Interana, on the other hand, is more specialized in handling time-series data and providing real-time analytics for large datasets.
Integration Options: Amazon QuickSight offers seamless integration with various data sources such as Amazon Redshift, RDS, and S3, making it an ideal choice for organizations using AWS services. Amplitude, on the other hand, integrates well with web and mobile applications to track user interactions and behavior. Interana, being focused on time-series data, integrates with data platforms like Kafka and Hadoop for handling high-volume streaming data.
User-Friendliness and Ease of Use: Amazon QuickSight is known for its ease of use with a user-friendly interface suitable for non-technical users. Amplitude, on the other hand, requires some technical knowledge to set up event tracking and data analysis. Interana, with its complex data processing capabilities, is more suitable for data analysts and engineers who require in-depth analysis of large datasets.
Cost and Pricing Model: Amazon QuickSight offers a pay-per-session pricing model, allowing users to pay only for the actual usage of the software. Amplitude, on the other hand, follows a tiered pricing structure based on the number of MAUs (Monthly Active Users). Interana typically offers enterprise-level pricing customized based on the specific requirements of the organization.
Real-Time Analytics Capabilities: While Amazon QuickSight and Amplitude offer real-time data visualization capabilities to some extent, Interana is specifically designed for real-time analytics, making it more suitable for organizations requiring immediate insights into streaming data. Amazon QuickSight and Amplitude may have slight delays in processing and visualizing real-time data due to their broader focus on data visualization and analysis.
Scalability and Performance: Amazon QuickSight is highly scalable and can handle large datasets efficiently with its cloud-based architecture. Amplitude is optimized for user behavior analysis but may face scalability challenges with extremely large datasets. Interana, being specialized in time-series data, offers high performance and scalability capabilities for handling complex analytics tasks on massive datasets.

Amazon Quicksight vs Amplitude vs Interana

Overview