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
Mindtree's Decision Moments stands out as the pioneering data analytics platform that harnesses continuous learning algorithms to analyze extensive datasets. This groundbreaking sense-and-respond mechanism enables organizations to reveal valuable insights that evolve over time, thereby enhancing the value derived from their digital transformation efforts. As an agile and adaptable data intelligence platform, Decision Moments effectively alleviates technological complexities by seamlessly aligning with your organization’s pre-existing data analytics investments. Furthermore, it possesses the necessary flexibility to adjust in accordance with fluctuations in market conditions, technological advancements, or varying business requirements. To maximize the benefits and cost efficiencies associated with a data analytics platform, Decision Moments leverages Microsoft Azure services, including the Cortana Intelligence Suite, within a cloud-native framework. Ultimately, Mindtree’s Decision Moments equips your key decision-makers with the essential tools to interpret vast amounts of data sourced from diverse origins, ensuring they can make informed choices in a rapidly evolving landscape. This robust platform not only aids in immediate decision-making but also fosters a culture of continuous improvement within organizations.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
Yes
Cloudera
Yes
Microsoft Azure
Yes
AWS Glue
Yes
AWS IoT SiteWise
No
Amazon S3
Yes
Apache Airflow
Yes
Azure Cosmos DB
Yes
Azure SQL Database
Yes
DIGIT
No
Integrations
Amazon Web Services (AWS)
Yes
Cloudera
Yes
Microsoft Azure
Yes
AWS Glue
No
AWS IoT SiteWise
Yes
Amazon S3
No
Apache Airflow
No
Azure Cosmos DB
No
Azure SQL Database
No
DIGIT
Yes
Pricing Details
Consumption-based and annual fixed licensing fee are both available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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
No
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
Yes
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
Mindtree
Founded
1999
Country
India
Website
www.mindtree.com/services/data-and-intelligence/data-analytics-insights-and-action/data-analytics-platform
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
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
Yes
No-Code Sandbox
Yes
Predictive Analytics
Yes
Templates
No
