Domo is a cloud-based software-as-a-service (SaaS) platform that provides business decision-makers with a simplified way to access real-time data and insights with minimal aid from IT staff. Domo integrates data from multiple cloud-based or on-premises sources (such as spreadsheets, social media accounts, and diverse databases) for business-transforming insights.
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 Domo data to Amazon Redshift
Load your Domo data to Google BigQuery
ETL all your Domo data to Snowflake
Move your Domo 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
Domo's End Points
Domo Secure, Unified Views of Your Business Data
Domo pulls together business data from disparate platforms and consolidates the information into a single, easy-to-understand view for company decision-makers, team members, and customers. As a hub between your different business solutions, Domo includes more than 1,000 out-of-the-box ETL (extract, transform, load) connectors to integrate live data from your cloud platforms. Domo also ingests data from your on-site and proprietary file systems. With bi-directional connectors, you can send data to Domo for analysis and return the data to the source systems. Finally, data federation allows you to query sensitive data from the source so it can remain secure behind your firewall.
Domo Extract, Transform Load (ETL)
Domo's ETL features extract, transform and load your data from diverse sources into a single, easy-to-analyze whole. With its built-in, drag-and-drop ETL solutions, you can define your data sources and customize how to join, transform, and enhance them (whether it's Redshift, Excel, MySQL, CSV, or hundreds of other formats) without knowing how to code in SQL. Through the automatic application of logic with every upload, your data will always be up to date. Plus, more tech-savvy users can use Domo to develop custom queries and implement advanced data science strategies.
Domo Instant, Actionable Business Insights
With Domo's predictive analytics tools and sophisticated alerting systems, your decision-makers will stay on top of new developments for more strategic and timely decision-making. Receive instant alerts as soon as KPIs hit designated thresholds. Natural-language processing allows you to query your data and receive an instant response through natural-language text bots. Finally, Domo offers deep insights related to your data through its machine learning and descriptive statistics module, which constantly looks for interesting correlations and insights within your data.
Domo Visualization Tools
Domo includes visualization tools turn your business insights into beautiful, accessible presentations. The platform's real-time data views load quickly for the largest datasets. Customizable visual presentations with drag-and-drop interfaces let you adjust colors, images, and explanatory text without knowing how to code. Build your visualizations once, and view updated information on any device, anywhere.
Domo Advanced Data Security and Compliance Features
Domo offers the latest in data security technology and data governance tools to ensure compliance with GDPR, SOC(1)/SOC(2), and ISO data compliance standards. The platform includes BYOK (bring your own key) data encryption capabilities with encryption keys that change more frequently, and access control options to grant personalized data permissions. Assign role-based access permissions and manage permissions on a large-scale with APIs.
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.