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What is Soda?

Soda assists in the management of data operations by detecting problems and notifying the appropriate personnel. With its automated and self-serve monitoring features, no data or individual is overlooked. By offering comprehensive observability across your data workloads, you can proactively address potential issues. Furthermore, data teams can identify problems that may escape automation's notice. The self-service functionalities ensure extensive coverage is maintained for data monitoring needs. Timely alerts are sent to the relevant individuals, enabling business teams to diagnose, prioritize, and resolve data challenges effectively. Importantly, your data remains securely within your private cloud, as Soda monitors it at the source while only storing metadata within your cloud environment. This way, Soda provides a robust solution for ensuring the integrity and reliability of your data operations.

What is Amazon Lookout for Metrics?

To effectively detect irregularities in business metrics, it is crucial to minimize false positives through the application of machine learning (ML). By clustering similar outliers, one can delve into the root causes of these anomalies for a thorough examination. Summarizing these underlying issues and ranking them based on severity ensures that organizations can address the most critical problems first. The integration with AWS databases, storage solutions, and third-party SaaS applications enables ongoing monitoring of metrics and anomaly detection. Additionally, implementing customized automated alerts and responses when anomalies are detected boosts operational efficiency significantly. The Lookout for Metrics tool employs ML to automatically identify anomalies in both business and operational data, while also uncovering their root causes. Detecting unexpected anomalies poses a challenge, especially since conventional methods typically depend on manual processes that often introduce errors. Lookout for Metrics alleviates this complexity, empowering users to identify and analyze data inconsistencies without specialized knowledge in artificial intelligence (AI). Furthermore, this tool enables the monitoring of unusual variations in subscriptions, conversion rates, and revenue, promoting a proactive stance against sudden market shifts. By harnessing sophisticated machine learning approaches, businesses can greatly enhance the precision of their anomaly detection endeavors, ultimately leading to better decision-making and more resilient operations. This strategic application of technology thus not only improves detection but also fosters a culture of continuous improvement within organizations.

Media

Media

Integrations Supported

Amazon Redshift
1Sol
AWS Lambda
Alation
Amazon CloudWatch
Amazon S3
Amazon Simple Notification Service (SNS)
Apache Airflow
Azure Synapse Analytics
Collibra
DataOps.live
Databricks Data Intelligence Platform
Google Cloud BigQuery
Kestra
Metaphor
STRM
Slack
Snowflake

Integrations Supported

Amazon Redshift
1Sol
AWS Lambda
Alation
Amazon CloudWatch
Amazon S3
Amazon Simple Notification Service (SNS)
Apache Airflow
Azure Synapse Analytics
Collibra
DataOps.live
Databricks Data Intelligence Platform
Google Cloud BigQuery
Kestra
Metaphor
STRM
Slack
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Soda

Date Founded

2018

Company Location

Belgium

Company Website

www.soda.io

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/lookout-for-metrics/

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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