Fraoula Data AuditorFraoula
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Related Products
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About
Fraoula Data Auditor is a data quality assessment and schema-auditing product for data engineering, analytics, governance, and compliance teams. It reviews data structures and sample records for schema drift, field-type mismatches, null-rate issues, anomalous values, and other rule violations, then presents findings in a risk report with suggested corrective actions. Teams can use it to evaluate pipelines that feed warehouses, analytics, risk systems, or AI workloads, including in finance and healthcare. The available workflows include a short browser-based assessment and broader audits, with cloud-hosted and self-hosted deployment options. Results help teams identify data risks and plan remediation before downstream use.
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About
A low-code no-code approach to data quality. SaaS for flexibility, affordability, ease of integration, and efficient support. High standards of encryption, identity management, role-based access control, data governance, and compliance standards. Advanced ML models for detecting row-value data anomalies. Models will evolve and adapt to users' business and data needs. Add any number of data sources, records, and attributes. Well-equipped for unpredictable volume spikes. Support batch and streaming processing. Data is constantly monitored to provide real-time notifications, with zero impact on pipeline performance. Seamless boarding, integration, and investigation experience. Telmai is a platform for the Data Teams to proactively detect and investigate anomalies in real time. A no-code on-boarding. Connect to your data source and specify alerting channels. Telmai will automatically learn from data and alert you when there are unexpected drifts.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data engineering, data platform, analytics engineering, governance, security, compliance, and enterprise architecture teams in regulated industries. Best suited for Fintech, Healthtech, financial services, insurance, healthcare technology, and other organizations operating high-throughput or compliance-sensitive data pipelines.
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Audience
Developers and teams looking for a solution to connect, analyze and get alerted about their data
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and VideosNo images available
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Screenshots and Videos |
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Pricing
$0
A free tier is available. A 14-day pilot is paid; enterprise pricing is discussed with the sales team.
Free Version
Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationFraoula
Founded: 2024
United States
www.fraoula.co
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Company InformationTelmai
United States
www.telm.ai/product-overview
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Categories |
Categories |
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Integrations
Amazon Redshift
Supported
Amazon S3
Supported
Apache Airflow
Supported
Apache Kafka
Supported
Google Cloud BigQuery
Supported
Snowflake
Supported
Amazon Kinesis
Not Supported
Amazon Simple Queue Service (SQS)
Not Supported
Apache Spark
Not Supported
Azure Blob Storage
Not Supported
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Integrations
Amazon Redshift
Supported
Amazon S3
Supported
Apache Airflow
Supported
Apache Kafka
Supported
Google Cloud BigQuery
Supported
Snowflake
Supported
Amazon Kinesis
Supported
Amazon Simple Queue Service (SQS)
Supported
Apache Spark
Supported
Azure Blob Storage
Supported
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