Average Ratings 0 Ratings
Average Ratings 6 Ratings
Description
We empower businesses to make informed decisions, uncover new opportunities, and maintain a competitive advantage through our cutting-edge data and analytics services in today's data-driven world. By harnessing the capabilities of data science and AI, we facilitate business growth, utilizing machine learning, algorithms, and statistical methods for insightful decision-making. Transforming your ideas into reality is our specialty, as we provide tailored web and mobile app development services that bring your vision to life. In the realm of cybersecurity, we excel by integrating analytics into our protective measures, offering automated monitoring, detection, and responsive solutions to ensure the security of your digital assets. Our customized cloud solutions are designed to unlock the full potential of cloud technology, providing seamless integration, scalability, and security that accelerates your digital transformation and encourages innovation. Additionally, we are at the forefront of advancing digital assets and blockchain technology, enabling businesses to embrace the future of capital markets with confidence and assurance. The fusion of technology and creativity is what drives us to deliver exceptional results for our clients.
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.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
AWS Glue
No
Amazon S3
No
Apache Airflow
No
Azure Cosmos DB
No
Azure SQL Database
No
Cloudera
No
Conga Orchestrate
Yes
Databricks
No
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
AWS Glue
Yes
Amazon S3
Yes
Apache Airflow
Yes
Azure Cosmos DB
Yes
Azure SQL Database
Yes
Cloudera
Yes
Conga Orchestrate
No
Databricks
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Consumption-based and annual fixed licensing fee are both available.
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
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
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Aretec
Founded
2005
Country
United States
Website
aretec.ai/
Vendor Details
Company Name
FirstEigen
Founded
2015
Country
United States
Website
firsteigen.com/databuck/
Product Features
Enterprise Search
AI / Machine Learning
No
Faceted Search / Filtering
No
Full Text Search
No
Fuzzy Search
No
Indexing
No
Text Analytics
No
eDiscovery
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
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
