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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Discover the reasons why leading companies are turning to the Crux external data automation platform to enhance their external data integration, transformation, and monitoring without the need for additional personnel. Our cloud-native technology streamlines the processes of ingesting, preparing, observing, and consistently delivering any external dataset. Consequently, this enables you to receive high-quality data precisely where and when you need it, formatted correctly. Utilize features such as automated schema detection, inferred delivery schedules, and lifecycle management to swiftly create pipelines from diverse external data sources. Moreover, boost data discoverability across your organization with a private catalog that links and matches various data products. Additionally, you can enrich, validate, and transform any dataset, allowing for seamless integration with other data sources, which ultimately speeds up your analytics processes. With these capabilities, your organization can fully leverage its data assets to drive informed decision-making and strategic growth.

Description

TYPO is an innovative solution designed to enhance data quality by correcting errors at the moment they are entered into information systems. In contrast to conventional reactive tools that address data issues post-storage, TYPO leverages artificial intelligence to identify mistakes in real-time right at the initial point of entry. This capability allows for the immediate rectification of errors before they can be saved and potentially cause issues in downstream systems and reports. TYPO's versatility means it can be employed across various platforms, including web applications, mobile devices, and data integration tools. Additionally, it monitors data as it flows into your organization or remains stored within the system. TYPO offers a thorough overview of data sources and entry points, encompassing devices, APIs, and user interactions with applications. When the system detects an error, users receive an alert and are empowered to make corrections on the spot. By utilizing advanced machine learning algorithms to pinpoint errors, TYPO eliminates the need for ongoing management and implementation of data rules, allowing organizations to focus more on their core functions. Ultimately, TYPO enhances overall data integrity and operational efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Amazon Web Services (AWS)
Blotout
Google Cloud Platform
Meltano
Microsoft Azure
SQL
Snowflake

Integrations

Amazon S3
Amazon Web Services (AWS)
Blotout
Google Cloud Platform
Meltano
Microsoft Azure
SQL
Snowflake

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Crux

Founded

2017

Country

United States

Website

www.cruxdata.com

Vendor Details

Company Name

Typo

Country

United States

Website

www.typo.ai/

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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