About Amplitude
Amplitude is a behavioral analytics platform that allows you to better understand user behavior for product intelligence related to your websites, mobile apps, and more. By offering a holistic, in-depth view of user engagement and activity, Amplitude isn't just about page views and click statistics. It tracks every user action, displays it in a single view, and lets you zoom into the data to understand why users are acting in a specific way.
About Amazon Kinesis
Amazon Kinesis is a powerful analytics solution that overcomes the batch-processing challenges of Hadoop — and similar solutions — which don't allow real-time precision in decision-making because they can't rapidly process high volumes of streaming data. With its ability to process hundreds of terabytes of streaming data per hour, Kinesis allows you to develop apps that rely on real-time data to fuel AI analytics, machine learning insights, and other applications. Kineses enables instant responses by eliminating the delay associated with batch processing.
Popular Use Cases
Bring all your Amplitude data to Amazon Redshift
Load your Amplitude data to Google BigQuery
ETL all your Amplitude data to Snowflake
Move your Amplitude data to MySQL
Bring all your Amazon Kinesis data to Amazon Redshift
Load your Amazon Kinesis data to Google BigQuery
ETL all your Amazon Kinesis data to Snowflake
Move your Amazon Kinesis data to MySQL
Amplitude's End Points
Amplitude Insights and Analytics for Web and App Developers
Track every detail of user activity to derive deep, Sactionable insights that help you improve your websites, apps, and product offerings. Amplitude analyzes user engagement actions to reveal which features your customers use most, what elements are causing problems, who is using your apps, how they're using them, and more. This provides the data your development team needs to make informed changes and updates. Explore the minutia of individual user actions, and search for specific or generic lists to track event streams. With the deep insights from Amplitude, you'll discover how to give users more of what they want, and less of what they don't, while attracting more customers and boosting long-term user retention.
Amplitude Behavioral Cohorts
Define customized user groups according to their behaviors, actions, event streams, user characteristics, and other properties. Then view statistics for specific cohorts and user categories with visually stunning graphs related to sales funnels, user retention, and event segmentation.
Amplitude User Retention Analytics
Explore statistics that show how often users come back to your app or website following specific events and actions. Track the frequency with which a specific user performed a specific action. This will help you understand what features and elements keep users coming back, and which features promote engagement and long-term retention. Define threshold benchmarks that promote long-term retention to grow your apps and websites.
Amplitude Advanced Search Capabilities
Amplitude saves all dashboards, charts, cohorts, and notebooks as searchable objects. This gives you a big-picture view of how team members are using Amplitude. Team leaders can use the search drawer filter options to browse existing dashboards and other metrics to understand the insights and metrics their team members are developing and working with.
Amplitude Dashboard Features
Save multiple visualizations, graphs, and reports in a single page view instead of creating each report individually. Amplitude lets you merge cross-project charts within the same dashboard to facilitate side-by-side comparisons. Dashboards also feature a sidebar for easy access to custom reports.
Amplitude Slack Integration
Amplitude's ready-made Slack integration features allow you to share insights with your team faster and easier. Links to cohorts, charts, and dashboards automatically appear as stunning visual previews when you paste them into the Slack messaging app.
Amazon Kinesis's End Points
Amazon Kinesis Video Streams
Amazon Kineses Video Streams allow you to safely ingest streaming video data from millions of linked devices into AWS for machine learning, analytical, and other processing purposes. The platform then encrypts, stores, and indexes the video data so you can access video with simple APIs, play live video streams, and offer on-demand playback. When incorporating this technology with Amazon Rekognition Video, TensorFlow, ApacheMxNet, and OpenCV, Amazon Kineses Video Streams makes it possible to build video analytics and computer vision processes into your applications.
Amazon Kinesis Data Streams
By capturing, processing, and storing data streams, Amazon Kinesis offers a real-time data streaming solution to ingest large amounts of information from hundreds of thousands — even millions — of sources at the gigabytes-per-second scale. The massive scalability of this solution lets you capture and produce immediate analytics on data pertaining to financial transactions, database event streams, location tracking data, clickstreams, social media activity, and more. Since the availability of streaming data happens in milliseconds, the platform enables real-time analytics of this information for instant detection of anomalies, dynamic price adjustments, precise dashboard metrics, and more.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose provides a simple and durable way to pull your streaming data into data warehouses, data lakes, and analytics solutions. Due to its compatibility with Splunk, Amazon Redshift, Amazon S3, and Amazon Elasticsearch Service, Kinesis Data Firehose empowers real-time data analytics for the dashboarding and BI tools you've come to trust. Fully managed and automatically scaling, you can use Firehose to encrypt, batch, transform, and compress your information before ingestion to boost security and save on disk space.
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics helps users without programming knowledge to analyze data streams with SQL or Java. For team members who know SQL, an SQL editor and templates are available for creating streaming applications or querying streaming data. Meanwhile, those with Java knowledge can develop more nuanced streaming applications that perform real-time data transformations and analytical processes.
