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Analytics and Big Data

Understand, grow, and retain your player base by making better design decisions with Game Analytics and Big Data solutions.

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Why build on AWS?

Personalize experiences

Undersrtand your players to deliver a tailored experience.  Track operational resources and optimize marketing executions based on data-driven analysis to maximize cost and success.

Scale data and storage with demand

When your game hits it big, AWS can scale to meet the volume and velocity of the data generated--all while paying only for what you need.

Handle data with complete security

Rest assured that your game data is in good hands with AWS’s highly redundant networking, low latency, and high throughput.

gt-db-zynga
“Our mission statement is to connect the world through games. And what we wanted to do is focus on building games, so our journey to AWS has spanned a bunch of use cases. In the case of our recent migration of our data warehousing to Amazon Redshift, we're seeing consistent ETL performance improvement by two times. With the new features, we can now scale as needed, and we're also able to do long-term analysis using experiments.”
—Bharath Anandaram, Data Architect, Zynga
Click each use case to learn more.
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    Ingest and analyze game data at scale

    Keep players engaged by implementing game improvements based on insights from analyzed player behavior.

    Building your Game Analytics Pipeline

    Traditional analytics solutions are complex to manage and scale. Depending on the size and maturity of your game studio, you may not have dedicated resources to manage this. Another challenge is that many managed service options keep different data sources completely separate. This makes it difficult to get insights across all of your data. And managed services often lack flexibility. For example, your unique game data may not fit into a standard message format or match specific tags or message types.

    Use the Game Analytics Pipeline as an out-of-the-box solution or as a reference implementation to launch a scalable analytics pipeline to ingest, store, analyze, and visualize gameplay-generated telemetry data. This solution is designed to provide a framework for ingesting game events into your data lake for analytics and storage, allowing you to focus on expanding the solution functionality rather than managing the underlying infrastructure operations.

    Get started with the implementation guide »

     

  • Gaming controller with lines and boxes expanding from it to represent insights

    Create actionable insights in real time

    Visualize data at scale to make more efficient and more informed real-time decisions.

    Creating a real-time analytics infrastructure for games

    Game developers need the most up-to-date information about player engagement. Speed is key, and success requires staying in the know with real-time analytics— whether it's identifying which in-game items are most frequently purchased, how advertising and in-app sales are performing, or discovering where players typically get stuck in different levels of your game.

    The Game Analytics Pipeline solution provides a real-time streaming analytics application. Developers can use raw application event data to generate custom metrics and identify key performance indicators (KPIs). You can also filter events with custom SQL, track usage behavior, and aggregate metrics to power live dashboards. The application uses Amazon Kinesis Data Analytics for SQL Applications to process streaming data and an AWS Lambda function to process analytics outputs. The AWS Lambda function publishes metrics to Amazon CloudWatch for storage and monitoring. And it’s integrated with Amazon Simple Notification Service (Amazon SNS) for notifications and alerts.

    The solution uses CloudWatch to monitor and log resources and store real-time metrics from Amazon Kinesis Data Analytics. Then, the solution deploys CloudWatch alarms to track AWS resource usage and alert subscribed administrators when issues are detected. By sending metrics to CloudWatch, the solution can rely on a single storage location for both real-time and AWS resource metrics.

    Learn more in the webinar »

Not sure where to start?

Get started using Game Analytics and Big Data with these helpful steps.

STEP 1

E-Learning

Why analytics and big data for games?

Understand what sources and types of game data to collect and how an analytics pipeline can be used to translate game data to answers.

Take the course »

STEP 2

AWS Solution

Game Analytics Pipeline solution

Support a serverless data pipeline by ingesting, analyzing, monitoring, and reporting game analytics data with the AWS CloudFormation template.

View the solution »

STEP 3

Workshop

Serverless Analytics for Games

Get interactive training on how to create a serverless analytics pipeline and integrate it into a game.

Get hands-on in the workshop »

STEP 4

Webinar

Create Real-Time Analytics Infrastructure

Learn how to make faster, better decisions in real-time, visualize trends as they happen, and effortlessly share live results with teams.

Watch the webinar »

Featured Customer Story

Rovio processes billions of daily events with analytics.

Explore the story »

Meet studios that innovate for their players with AWS

GameLoft
LEGO Legacy: Heroes Unboxed

Gameloft built and launched LEGO Legacy: Heroes Unboxed all on the AWS Cloud.

Explore the case study »

EPIC GAMES
 Seven Fortnite characters lined up against a blue background

Epic Games uses AWS to deliver Fortnite to 200+ million players around the world.

Explore the case study »

ZYNGA
Zynga

Zynga modernized its mobile game platform and leveled up its analytics and data science efforts with AWS.

Watch the video »

WB GAMES
Still from WB Games video

WB Games uses AWS to capture, ingest, analyze, and action insights to help developers become more agile with their storytelling. 

Explore the case study »

See related technical guides, webinars, white papers and much more.

BLOG
Generate custom game events from Unity integrated with the Game Analytics Pipeline

In this step-by-step tutorial, learn how to ingest data from games developed in the Unity game engine using the AWS .NET SDKs with the one-click deployable Game Analytics Pipeline solution to start setting up your own custom game analytics pipeline.

Read the blog »
WEBINAR
Getting started building a game analytics pipeline for faster, smarter decision-making

Learn how to build a Game Analytics Pipeline to help launch a scalable serverless data pipeline that ingests, stores, processes, and analyzes telemetry data generated from games and services.

Watch now »
Video Tutorial
Game Tech Video Series: Intro to Analytics

This is the first video in the Game Tech Tutorial Series about the Game Analytics Pipeline solution. Learn how to set up and use an analytics pipeline for your game.

Watch now »
BLOG
Implement an analytics pipeline for games

Learn how to ingest game data and visualize it in real time.

Read the blog »

New to AWS Game Tech?

Choose from a range of game developer courses, explore our ramp-up guide, or build your skills with a hands-on lab. 

Ready to start using AWS Analytics and Big Data?

Whether you’re a team of one or one thousand, we’d love to learn more about your game development needs.