PiperrSaturam
|
||||||
Related Products
|
||||||
About
Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place.
|
About
Produce high quality data using Piperr’s pre-built data algorithms for multiple enterprise stakeholders: From IT to Analytics, From Tech & Data Science to LoBs. No Worries. If your Data platform is not already accommodated, we will build connectors at no cost. Piperr™ has a default dashboard with an elegant chart base. We also support Tableau, PowerBI, and other visualization tools. You can use our ML-augmented data algorithms or choose to bring your own trained ML models. No more Dataops turnaround. While your team focusses on AI Models, the data life-cycle can be left upto Piperr. Minimise your data operations turn-around time: From Acquisition to Test Data Management: with Piperr’s pre-packaged data apps. Piperr™ provides necessary tools to tame data chaos within an enterprise. Look no further than Piperr™ to solve all your data processing needs.
|
|||||
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
|
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
|
|||||
Audience
Data observability platform that helps companies prevent data catastrophes
|
Audience
Data Management platform for companies
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
|
|||||
Company InformationDatafold
United States
www.datafold.com
|
Company InformationSaturam
Founded: 2014
United States
www.piperr.io
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Data Management Features
Customer Data
Supported
Data Analysis
Supported
Data Capture
Supported
Data Integration
Supported
Data Migration
Supported
Data Quality Control
Supported
Data Security
Supported
Information Governance
Supported
Master Data Management
Supported
Match & Merge
Supported
|
||||||
Integrations
Amazon Redshift
Supported
Amundsen
Supported
Apache Airflow
Supported
Azure Databricks
Supported
DataHub
Supported
GitHub
Supported
GitLab
Supported
Google Cloud BigQuery
Supported
PagerDuty
Supported
PostgreSQL
Supported
|
Integrations
Amazon Redshift
Not Supported
Amundsen
Not Supported
Apache Airflow
Not Supported
Azure Databricks
Not Supported
DataHub
Not Supported
GitHub
Not Supported
GitLab
Not Supported
Google Cloud BigQuery
Not Supported
PagerDuty
Not Supported
PostgreSQL
Not Supported
|
|||||
|
|
|