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
With your own data shop, create new revenue streams from the data you already have. Narrative focuses on the fundamental principles that make buying or selling data simpler, safer, and more strategic. You must ensure that the data you have access to meets your standards. It is important to know who and how the data was collected. Access new supply and demand easily for a more agile, accessible data strategy. You can control your entire data strategy with full end-to-end access to all inputs and outputs. Our platform automates the most labor-intensive and time-consuming aspects of data acquisition so that you can access new data sources in days instead of months. You'll only ever have to pay for what you need with filters, budget controls and automatic deduplication.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon S3
Yes
AWS Glue
Yes
Amazon Web Services (AWS)
Yes
Apache Airflow
Yes
Azure Cosmos DB
Yes
Azure SQL Database
Yes
BIGDBM
No
Cloudera
Yes
Databricks
Yes
Facebook Ads
No
Integrations
Amazon S3
Yes
AWS Glue
No
Amazon Web Services (AWS)
No
Apache Airflow
No
Azure Cosmos DB
No
Azure SQL Database
No
BIGDBM
Yes
Cloudera
No
Databricks
No
Facebook Ads
Yes
Pricing Details
Consumption-based and annual fixed licensing fee are both available.
Free Trial
No
Free Version
No
Pricing Details
$0
Pricing is based on data transacted, processed, transferred, and stored.
Free Trial
No
Free Version
Yes
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
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
FirstEigen
Founded
2015
Country
United States
Website
firsteigen.com/databuck/
Vendor Details
Company Name
Narrative
Country
United States
Website
www.narrative.io
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
Big Data
Collaboration
Yes
Data Blends
Yes
Data Cleansing
Yes
Data Mining
No
Data Visualization
No
Data Warehousing
Yes
High Volume Processing
Yes
No-Code Sandbox
Yes
Predictive Analytics
No
Templates
No
Data Discovery
Contextual Search
Yes
Data Classification
Yes
Data Matching
Yes
False Positives Reduction
Yes
Self Service Data Preparation
Yes
Sensitive Data Identification
Yes
Visual Analytics
Yes
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
Yes
Data Migration
No
Data Quality Control
Yes
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
Yes
Data Science
Access Control
Yes
Advanced Modeling
No
Audit Logs
No
Data Discovery
Yes
Data Ingestion
Yes
Data Preparation
Yes
Data Visualization
No
Model Deployment
No
Reports
No
Data Warehouse
Ad hoc Query
Yes
Analytics
No
Data Integration
Yes
Data Migration
Yes
Data Quality Control
Yes
ETL - Extract / Transfer / Load
Yes
In-Memory Processing
No
Match & Merge
Yes
Database
Backup and Recovery
Yes
Creation / Development
Yes
Data Migration
No
Data Replication
No
Data Search
Yes
Data Security
Yes
Database Conversion
Yes
Mobile Access
No
Monitoring
No
NOSQL
Yes
Performance Analysis
No
Queries
Yes
Relational Interface
No
Virtualization
No
Virtual Data Room
Anonymity Management
No
Audit Trail
No
Collaboration
Yes
Data Protection
Yes
Data Storage Management
Yes
Document Tagging
No
Due Diligence Management
No
Procurement Management
Yes
Project Management
Yes
Role-Based Permissions
Yes
Secure Preview
Yes
