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Description
Our innovative automated data operations platform empowers businesses to decrease or reassign the full-time staff required for their data management tasks. Traditionally, this has been a labor-intensive and costly endeavor, but our solution consolidates everything into a user-friendly package that streamlines the process and leads to substantial cost savings. Many organizations struggle to maintain data quality due to the overwhelming volume of problematic data they handle daily. By implementing our platform, companies transition into proactive entities regarding data integrity. With comprehensive visibility over incoming data and an integrated alert system, our platform guarantees adherence to your data quality standards. As a groundbreaking solution, we have transformed numerous expensive manual workflows into a cohesive platform. The BettrData.io platform is not only easy to implement but also requires just a few simple configurations to get started. This means that businesses can swiftly adapt to our system, ensuring they maximize efficiency from day one.
Description
Ingext enables real-time transformation, analysis, metrics, and alert notifications as integral components of data collection. This capability ensures that incoming data to a Security Information and Event Management (SIEM) or Application Performance Monitoring (APM) system is immediately usable, thereby minimizing complexity and delays while effectively managing interruptions and bottlenecks. The platform allows for a seamless flow of data that can be continuously utilized, emphasizing the importance of having operational data available as soon as it is generated. Users can quickly initiate their experience by accessing a trial through the AWS marketplace. Ingext prioritizes the secure and straightforward connection to your data sources, ensuring that the information is delivered in a comprehensible format. Additionally, the processing feature enhances, enriches, and verifies the integrity of your data. The architecture allows for the independent linking of streaming processing to both data sources and destinations, referred to as sinks, which simplifies debugging and improves clarity. By focusing on these aspects, Ingext streamlines the entire data handling process, making it more efficient and effective. Ultimately, this approach empowers organizations to harness their data's potential fully.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Databricks
Yes
Fluency SIEM
No
Snowflake
Yes
Integrations
Amazon Web Services (AWS)
Yes
Databricks
No
Fluency SIEM
Yes
Snowflake
No
Pricing Details
No price information 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
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
BettrData
Founded
2020
Country
United States
Website
bettrdata.io
Vendor Details
Company Name
Ingext
Country
United States
Website
ingext.io
Product Features
Data Cleansing
Address/ZIP Code Cleaning
No
Charting
No
Data Consolidation / ETL
No
Data Mapping
No
Multi Data Format Support
No
Phone/Email Validation
No
Raw Data Ingestion
No
Sample Testing
No
Validation / Matching / Reconciliation
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 Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
