Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Trifacta's Cloud Dataprep is an advanced data service designed for the visual exploration, cleansing, and preparation of both structured and unstructured datasets, facilitating analysis, reporting, and machine learning tasks. Its serverless architecture allows it to operate at any scale, eliminating the need for users to manage or deploy infrastructure. With each interaction in the user interface, the system intelligently suggests and forecasts your next ideal data transformation, removing the necessity for manual coding. As a partner service of Trifacta, Cloud Dataprep utilizes their renowned data preparation technology to enhance functionality. Google collaborates closely with Trifacta to ensure a fluid user experience, which bypasses the requirement for initial software installations, separate licensing fees, or continuous operational burdens. Fully managed and capable of scaling on demand, Cloud Dataprep effectively adapts to your evolving data preparation requirements, allowing you to concentrate on your analytical pursuits. This innovative service ultimately empowers users to streamline their workflows and maximize productivity.
Description
Enhance your analytics, data migration, and master data management (MDM) projects with the SAP Agile Data Preparation tool. This application allows you to efficiently convert your data into actionable insights, streamlining your access to and understanding of data shapes, thus increasing your productivity and agility beyond your expectations. The Cloud Service's Usage Metric is measured by the number of Users, defined as individuals who prepare, manage, and oversee data sets or perform data stewardship tasks within the service. Each subscription requires customers to purchase an annual foundation subscription, which comes in increments of 64 GB of memory per year, with a maximum capacity of 512 GB annually. This structured approach ensures that organizations can scale their data needs effectively while maintaining high performance and efficiency.
API Access
Has API
No
API Access
Has API
No
Integrations
Acterys
No
Asignet
Yes
Data Secure
No
GlobalSUITE
Yes
Google Cloud BigQuery
Yes
Google Cloud Platform
Yes
Google Cloud Storage
Yes
Google Sheets
Yes
Hosted Graphite
Yes
Neptune DXP
No
Integrations
Acterys
Yes
Asignet
No
Data Secure
Yes
GlobalSUITE
No
Google Cloud BigQuery
No
Google Cloud Platform
No
Google Cloud Storage
No
Google Sheets
No
Hosted Graphite
No
Neptune DXP
Yes
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/dataprep
Vendor Details
Company Name
SAP
Founded
1972
Country
Germany
Website
assets.cdn.sap.com/agreements/product-use-and-support-terms/cls/en/sap-agile-data-preparation-supplement-english-v2-2016.pdf
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 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
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Data Cleansing
Address/ZIP Code Cleaning
Yes
Charting
Yes
Data Consolidation / ETL
Yes
Data Mapping
Yes
Multi Data Format Support
Yes
Phone/Email Validation
No
Raw Data Ingestion
Yes
Sample Testing
Yes
Validation / Matching / Reconciliation
Yes
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