Average Ratings 0 Ratings
Average Ratings 6 Ratings
Description
5X is a comprehensive data management platform that consolidates all the necessary tools for centralizing, cleaning, modeling, and analyzing your data. With its user-friendly design, 5X seamlessly integrates with more than 500 data sources, allowing for smooth and continuous data flow across various systems through both pre-built and custom connectors. The platform features a wide array of functions, including ingestion, data warehousing, modeling, orchestration, and business intelligence, all presented within an intuitive interface. It efficiently manages diverse data movements from SaaS applications, databases, ERPs, and files, ensuring that data is automatically and securely transferred to data warehouses and lakes. Security is a top priority for 5X, as it encrypts data at the source and identifies personally identifiable information, applying encryption at the column level to safeguard sensitive data. Additionally, the platform is engineered to lower the total cost of ownership by 30% when compared to developing a custom solution, thereby boosting productivity through a single interface that enables the construction of complete data pipelines from start to finish. This makes 5X an ideal choice for businesses aiming to streamline their data processes effectively.
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 S3
Yes
Azure Cosmos DB
Yes
Azure SQL Database
Yes
Databricks
Yes
Google Cloud BigQuery
Yes
PostgreSQL
Yes
Snowflake
Yes
AdRoll
Yes
Adobe Commerce
Yes
Amazon MSK
Yes
Integrations
Amazon S3
Yes
Azure Cosmos DB
Yes
Azure SQL Database
Yes
Databricks
Yes
Google Cloud BigQuery
Yes
PostgreSQL
Yes
Snowflake
Yes
AdRoll
No
Adobe Commerce
No
Amazon MSK
No
Pricing Details
$350 per month
Free Trial
No
Free Version
Yes
Pricing Details
Consumption-based and annual fixed licensing fee are both 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
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
No
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
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
5X
Founded
2020
Country
United States
Website
www.5x.co/data-sources
Vendor Details
Company Name
FirstEigen
Founded
2015
Country
United States
Website
firsteigen.com/databuck/
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Business Intelligence
Ad Hoc Reports
No
Benchmarking
No
Budgeting & Forecasting
No
Dashboard
No
Data Analysis
No
Key Performance Indicators
No
Natural Language Generation (NLG)
No
Performance Metrics
No
Predictive Analytics
No
Profitability Analysis
No
Strategic Planning
No
Trend / Problem Indicators
No
Visual Analytics
No
Dashboard
Annotations
No
Data Source Integrations
No
Functions / Calculations
No
Interactive
No
KPIs
No
OLAP
No
Private Dashboards
No
Public Dashboards
No
Scorecards
No
Themes
No
Visual Analytics
No
Widgets
No
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No
Embedded Analytics
Ad hoc Query
No
Application Development
No
Benchmarking
No
Dashboard
No
Interactive Reports
No
Mobile Reporting
No
Multi-User Collaboration
No
Self Service Analytics
No
Streaming Analytics
No
Visual Workflow Management
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
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
