Average Ratings 6 Ratings
Average Ratings 0 Ratings
Description
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
Description
Pitchly goes beyond merely showcasing your data; we empower you to harness its full potential. Unlike other enterprise data solutions, our comprehensive warehouse-to-worker approach animates your business data, paving the way for a future where work is fundamentally driven by data, including content production. By converting repetitive content tasks from manual processes to data-driven methodologies, we significantly improve both accuracy and efficiency, allowing employees to focus on more valuable initiatives. When you create data-driven content with Pitchly, you take control of the process. You can establish brand templates, streamline your workflows, and benefit from instant publishing backed by the dependability and precision of real-time data. From tombstones and case studies to bios, CVs, and reports, Pitchly clients can manage, organize, and enhance all their content assets seamlessly within one intuitive library. This unified approach not only simplifies content management but also ensures that your outputs are consistently high-quality and timely.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AWS Glue
Yes
Amazon S3
Yes
Amazon Web Services (AWS)
Yes
Apache Airflow
Yes
Azure Cosmos DB
Yes
Azure SQL Database
Yes
Cloudera
Yes
Databricks
Yes
Google Cloud BigQuery
Yes
Google Cloud Dataflow
Yes
Integrations
AWS Glue
No
Amazon S3
No
Amazon Web Services (AWS)
No
Apache Airflow
No
Azure Cosmos DB
No
Azure SQL Database
No
Cloudera
No
Databricks
No
Google Cloud BigQuery
No
Google Cloud Dataflow
No
Pricing Details
Consumption-based and annual fixed licensing fee are both available.
Free Trial
No
Free Version
No
Pricing Details
$25 per user per month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
FirstEigen
Founded
2015
Country
United States
Website
firsteigen.com/databuck/
Vendor Details
Company Name
Pitchly
Founded
2014
Country
United States
Website
www.pitchly.com
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
Yes
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Governance
Access Control
No
Data Discovery
No
Data Mapping
No
Data Profiling
No
Deletion Management
No
Email Management
No
Policy Management
No
Process Management
No
Roles Management
No
Storage Management
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
Yes
Master Data Management
No
Match & Merge
No
Metadata Management
No
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Reporting
Customizable Dashboard
Yes
Data Source Connectors
Yes
Drag & Drop
Yes
Drill Down
Yes
Email Reports
No
Financial Reports
No
Forecasting
Yes
Marketing Reports
Yes
OLAP
No
Report Export
Yes
Sales Reports
No
Scheduled / Automated Reports
Yes
