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Description
With Rupert's no-code custom alerts, you can easily discover actionable insights, anomalies, or exceptions that matter to you and send them straight to Slack. Take advantage of your data warehouse or BI dashboards by utilizing Rupert's adaptable, no-code monitoring and alerting solutions. In just a few minutes, you can establish monitoring for any metric or event that interests you. By employing dynamic thresholds, you can combine various rules to create more impactful alerts tailored to your needs. Furthermore, you can refine alerts by using breakdowns and filters to achieve the desired level of detail or data segmentation. Select from a variety of options such as period-over-period comparisons, moving averages, anomaly detection, and more from our extensive no-code trigger library. Recipients will receive complete context on alerts, as you can easily include additional data from your warehouse alongside the monitored metric or event. You also have the capability to embed programmable action buttons within alerts, allowing you to create custom URLs or utilize native integrations with platforms like Jira and Salesforce. This comprehensive approach ensures that your alerts are not only informative but also actionable, driving better decision-making.
Description
A low-code, no-code strategy enhances data quality management. This software-as-a-service (SaaS) model offers flexibility, cost-effectiveness, seamless integration, and robust support options. It maintains rigorous standards for encryption, identity management, role-based access control, data governance, and compliance. Utilizing advanced machine learning algorithms, it identifies anomalies in row-value data, with the capability to evolve alongside the unique requirements of users' businesses and datasets. Users can incorporate numerous data sources, records, and attributes effortlessly, making the platform resilient to unexpected increases in data volume. It accommodates both batch and streaming processing, ensuring that data is consistently monitored to provide real-time alerts without affecting pipeline performance. The platform offers a smooth onboarding, integration, and investigation process, making it accessible to data teams aiming to proactively spot and analyze anomalies as they arise. With a no-code onboarding process, users can simply connect to their data sources and set their alerting preferences. Telmai intelligently adapts to data patterns, notifying users of any significant changes, ensuring that they remain informed and prepared for any data fluctuations.
API Access
Has API
API Access
Has API
Integrations
Amazon Redshift
Google Cloud BigQuery
Snowflake
Amazon Kinesis
Amazon S3
Amazon Simple Queue Service (SQS)
Apache Airflow
Apache Kafka
Apache Spark
Azure Blob Storage
Integrations
Amazon Redshift
Google Cloud BigQuery
Snowflake
Amazon Kinesis
Amazon S3
Amazon Simple Queue Service (SQS)
Apache Airflow
Apache Kafka
Apache Spark
Azure Blob Storage
Pricing Details
$199 per month
Free Trial
Free Version
Pricing Details
No price information available.
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
Rupert
Country
United States
Website
www.hirupert.co
Vendor Details
Company Name
Telmai
Country
United States
Website
www.telm.ai/product-overview
Product Features
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
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management