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Description
Capital One Slingshot is a powerful solution for cloud data platform management and optimization, designed to aid organizations in enhancing their utilization of Snowflake and Databricks. By offering improved visibility into financial and computational expenditures, it facilitates continuous monitoring, dynamic rightsizing, and AI-driven suggestions that aim to eliminate waste and inefficiencies while boosting overall performance. The platform features detailed dashboards and reports that track costs, usage, and performance trends, and it enables the allocation of expenses to specific business units through custom tagging. Additionally, proactive alerts inform users of credit usage and unexpected cost increases. Slingshot's recommendation engine thoroughly assesses workloads to optimize warehouse sizes, proposes adjustments to schedules, and identifies inefficient queries through its Query Advisor, ultimately enhancing SQL performance. Furthermore, it automates the optimization of Databricks jobs by leveraging machine learning models and supports comprehensive management and governance through customizable workflows and controls, making it a versatile tool for modern data operations. The integration of these features empowers organizations to achieve greater efficiency and cost-effectiveness in their data management strategies.
Description
Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.
API Access
Has API
API Access
Has API
Integrations
AWS Lambda
Amazon CloudWatch
Amazon EC2
Amazon EKS
Amazon Elastic Block Store (EBS)
Asana
Azure Databricks
Azure Virtual Machines
GitLab
Google Compute Engine
Integrations
AWS Lambda
Amazon CloudWatch
Amazon EC2
Amazon EKS
Amazon Elastic Block Store (EBS)
Asana
Azure Databricks
Azure Virtual Machines
GitLab
Google Compute Engine
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$10 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Capital One
Founded
1994
Country
United States
Website
www.capitalone.com/software/products/slingshot/
Vendor Details
Company Name
Sedai
Country
United States
Website
www.sedai.io/platform
Product Features
Cloud Cost Management
Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting
Product Features
Cloud Cost Management
Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting
Cloud Management
Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval
Incident Management
Audit Trail
Corrective Actions (CAPA)
Disaster Recovery
IT Incident Management
Incident Reporting
OSHA Compliance
Root-Cause Diagnosis
Safety Management
Task Management
Ticket Management
IT Alerting
Alert Noise Reduction
Alert Routing
Dynamic Notifications
Enriched Incident Context
Escalation Policies
Incident History Audit
Multi-User Alerting
Multiple Alert Types
On-Call Management
Rich HTML Email Notifications
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
