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Description
Digital badging can often present challenges, but Canvas Credentials simplifies the process significantly. By utilizing this innovative solution, you can expedite your objectives while ensuring that competencies are validated, engagement is fostered, completion rates are enhanced, and enrollment numbers rise. Not only does this approach boost student enrollment and retention, but it also provides a streamlined method for learners to document and share their verified skills and accomplishments with prospective employers. Canvas Credentials stands out as the premier open and inclusive digital credentialing network, dedicated to fostering a more equitable society through the recognition of verified skills and achievements. With Canvas Credentials, issuing badges that are rich in data, easy to share, and verifiable is a seamless experience, making it the sole open digital credentialing solution that offers visual and stackable learning pathways. Furthermore, it allows for the integration of credentials from various platforms, enabling learners to effectively curate and display their skills and accomplishments, while educators and employers can verify and utilize this skills data to achieve educational and workforce objectives, ultimately enhancing collaboration between all stakeholders in the learning ecosystem.
Description
The Stackable data platform was crafted with a focus on flexibility and openness. It offers a carefully selected range of top-notch open source data applications, including Apache Kafka, OpenSearch, Trino, and Apache Spark. Unlike many competitors that either promote their proprietary solutions or enhance vendor dependence, Stackable embraces a more innovative strategy. All data applications are designed to integrate effortlessly and can be added or removed with remarkable speed. Built on Kubernetes, it is capable of operating in any environment, whether on-premises or in the cloud. To initiate your first Stackable data platform, all you require is stackablectl along with a Kubernetes cluster. In just a few minutes, you will be poised to begin working with your data. You can set up your one-line startup command right here. Much like kubectl, stackablectl is tailored for seamless interaction with the Stackable Data Platform. Utilize this command line tool for deploying and managing stackable data applications on Kubernetes. With stackablectl, you have the ability to create, delete, and update components efficiently, ensuring a smooth operational experience for your data management needs. The versatility and ease of use make it an excellent choice for developers and data engineers alike.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Airflow
Apache Druid
Apache HBase
Apache Hive
Apache Iceberg
Apache Kafka
Apache NiFi
Apache Spark
Apache ZooKeeper
Integrations
Amazon Web Services (AWS)
Apache Airflow
Apache Druid
Apache HBase
Apache Hive
Apache Iceberg
Apache Kafka
Apache NiFi
Apache Spark
Apache ZooKeeper
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
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
Instructure
Country
United States
Website
www.instructure.com/higher-education/products/canvas/canvas-credentials-digital-badges
Vendor Details
Company Name
Stackable
Founded
2020
Country
Germany
Website
stackable.tech/
Product Features
Product Features
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 Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
