Rapidminer MonarchSiemens
|
dataloader.ioMuleSoft
|
|||||
Related Products
|
||||||
About
Rapidminer Monarch is a Siemens no-code data preparation solution that helps teams clean, transform, and structure data from nearly any source. It allows users to turn information from PDFs, spreadsheets, text reports, databases, and complex files into usable rows and columns for reporting, analytics, machine learning, and other applications. The platform is designed to empower non-technical users to complete data preparation tasks quickly while reducing manual errors. Rapidminer Monarch provides auditable change histories and clear data lineage so teams can trust how data was prepared and transformed. It also supports automated reconciliation workflows, legacy data migration, pre-built apps for business systems, and enterprise deployment through Rapidminer Monarch Server. With drag-and-drop tools, scalable automation, and reliable governance, Rapidminer Monarch helps organizations deliver structured, trusted data faster.
|
About
Use the most popular data loader for Salesforce to quickly and securely import, export and delete unlimited amounts of data for your enterprise. Get started quickly with our simple, 100% cloud solution. Use your existing Salesforce credentials to log into dataloader.io without the hassle of downloading an application. dataloader.io’s uses oAuth 2.0 so you can get started quickly without compromising security. Spend less time mapping data from the source file to the Salesforce fields with features such as auto-mapping, keyboard shortcuts and search filters. Export related objects through a single pull, removing the manual and redundant work required to pull multiple datasets and reassociate them in Excel. Import and export data directly from Box, DropBox, FTP and SFTP repositories quickly and easily. Schedule tasks to import and export data automatically on an hourly, daily, weekly or monthly basis. dataloader.io is powered by MuleSoft’s Anypoint Platform.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Rapidminer Monarch is best suited for business analysts, finance teams, audit teams, data teams, operations groups, and enterprises that need no-code data preparation, PDF and Excel extraction, reconciliation automation, data lineage, and governed data workflows
|
Audience
Users that need to synchronize and share Salesforce data across applications.
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
$99/month/user
https://dataloader.io/pricing
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Pros & Cons from Real UsersPros
Cons
|
||||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationSiemens
Founded: 1847
Germany
www.siemens.com/en-us/products/rapidminer/monarch/
|
Company InformationMuleSoft
Founded: 2006
United States
dataloader.io
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
|
|
|
|||||
|
|
|
|||||
Categories |
Categories |
|||||
Data Preparation Features
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
|
Data Cleansing Features
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation
|
|||||
Integrations
MuleSoft Anypoint Platform
Rapidminer
Rapidminer Knowledge Studio
Rapidminer Panopticon
Rapidminer SLC
Salesforce
Thru
Vertica
|
Integrations
MuleSoft Anypoint Platform
Rapidminer
Rapidminer Knowledge Studio
Rapidminer Panopticon
Rapidminer SLC
Salesforce
Thru
Vertica
|
|||||
|
|
|