Pendo is a cloud-based software-as-a-service (SaaS) platform that integrates your application and webpage usage analytics with feedback, guidance, and communication from end-users. The solution empowers you to understand the way customers are using your product, how they feel about it, and what their experiences are like without overburdening your engineering team. Pendo provides your development team with the insights they need to dramatically improve applications, websites, and user experiences. The platform also keeps your customers informed about product enhancements and key developments as you release them.
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 Pendo data to Amazon Redshift
Load your Pendo data to Google BigQuery
ETL all your Pendo data to Snowflake
Move your Pendo 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
Pendo's End Points
Pendo User Metrics
Pendo includes tools to track metrics on total web traffic, user engagement, session length, per session page views, scrolling behavior, bounce and rates, conversion figures, standard user actions, actions that lead to conversion, and more. Pendo also monitors where your traffic is coming from, how people enter your site, and at which point they leave. Then it presents the data in elegant, easy-to-understand visual reports.
Pendo User Sentiment Surveys
Pendo allows you to deploy NPS and polls directly to users in-application to produce better and more accurate results. You can target specific users based on product interactions or user characteristics to obtain the specific feedback you require. Pendo's user sentiment surveys empower you to combine survey responses with user behavior data to gain a more three-dimensional understanding of your customers. By merging quantitative and qualitative survey data, you'll gain a clearer picture of what pleases and displeases users to reveal actionable opportunities to adjust your products for improved customer conversion, increased retention, and more profitable business results.
Pendo offers built-in ETL (extract, transform, load) connections to integrate with a wide variety of platforms such as Slack, Segment, Fivetran, Fullstory, LaunchDarkley, Google BigQuery, DOMO, Drift, Looker, Amazon Redshift, Salesforce, UserVoice, WordPress, Zapier, Zendesk, and more.
Pendo Product Improvement Roadmapping
Pendo includes tools to coordinate your team around a central planning roadmap informed by the metrics and insights the platform generates. Roadmapping features include the ability to visualize your product development strategy and organize your plans around product enhancements, timeline, team, and market segment. You can also manage which teams can access different views of the plan, and streamline views for stakeholders so they're overload with information. Pendo's drag-and-drop functionality empowers non-tech-savvy users to create and manage roadmaps.
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.