Ratings and Reviews 6 Ratings
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What is DataBuck?
Ensuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.
What is Cogniteev?
We provide an intuitive Data Access Automation Platform aimed at creating customized data sets and derivative applications, including search engines and data dashboards, which facilitate a better understanding and utilization of data. Our cutting-edge solutions enable organizations to obtain the information they need in a way that aligns with their requirements, ultimately boosting performance and supporting the achievement of their business goals. By employing sophisticated crawlers and connectors, we navigate through websites, preferred cloud services, and internal systems to collect the crucial information and data specified by your unique business criteria. This functionality allows for effortless reintegration into your current internal data systems, significantly enhancing the efficiency of data usage. With our platform, you not only gain access to essential insights but also have the ability to harness them for informed strategic decisions that promote growth, ensuring that your organization stays ahead in a competitive landscape. Additionally, our services are tailored to adapt to the evolving needs of your business, making them an essential asset for long-term success.
Integrations Supported
AWS Glue
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Azure Cosmos DB
Azure SQL Database
Cloudera
Databricks
Google Cloud BigQuery
Google Cloud Dataflow
Integrations Supported
AWS Glue
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Azure Cosmos DB
Azure SQL Database
Cloudera
Databricks
Google Cloud BigQuery
Google Cloud Dataflow
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
FirstEigen
Date Founded
2015
Company Location
United States
Company Website
firsteigen.com/databuck/
Company Facts
Organization Name
Cogniteev
Company Location
France
Company Website
www.cogniteev.com
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates