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.
Buffer is a web and mobile-based platform that allows you to manage all of your company's social media activities from a single place. With Buffer, you can design, schedule, and share content on Instagram, Facebook, LinkedIn, Pinterest, and Twitter — then analyze the results of your campaigns to measure their success and understand how your community is responding to them.
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
Bring all your Buffer data to Amazon Redshift
Load your Buffer data to Google BigQuery
ETL all your Buffer data to Snowflake
Move your Buffer data to MySQL
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.
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 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 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.
Buffer's social media publishing tools allow you to tailor and perfect your posts to fit the nuances of each social network your company uses. Use the platform to design drafts of your posts, collaborate with team members, finetune your strategy, and plan the timing of each post for maximum effectiveness — all from a single platform that gives you a bird's-eye view of your content-lineup.
Buffer's platform enhances business-to-customer interactions by expanding your ability to immediately respond to social media conversations, resolve customer problems, and collaborate with the right team members to create a better, more interactive experience between your audience and brand. With Buffer's shared team inbox, you can interact with customers on a one-on-one basis across all your social media platforms — be it Facebook, Twitter, or Instragam — from a single interface. Buffer also includes 'collision detection' features — that show which team members are viewing a conversation to prevent duplicate responses — and the ability to leave notes for others who might respond to the conversation later.
Buffer tracks data pertaining to all of your team's social media interactions — then uses this information to create performance reports that will help you improve customer engagement, grow your audience, and boost sales. With data on all of your social media platforms visible from a single, interactive analytics dashboard, everyone on your team has access to the information, metrics, and insights they need. Drill into statistics on individual posts and zoom out for general information. You can also customize reports to show specific team members exactly what they need to see.