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Description
The Hybrid Data Pipeline stands out as the preferred solution for organizations that understand that how they access and utilize data is a key factor in gaining a competitive edge today. Featuring an extensive library of data connectors, it enhances data management through identity-based access controls that are applicable to both teams and individuals and offers universal client connectivity options such as ODBC, JDBC, OData, and REST, among others. As companies navigate intricate hybrid data environments due to corporate compliance policies, it can be challenging to maintain clear visibility over data access and to control the rising costs associated with data management, security, and compliance. With the Hybrid Data Pipeline, DataDirect simplifies this process by providing a streamlined gateway that facilitates access control without the need for sharing database credentials or managing local installations. The platform also excels in identity management, allowing organizations to provision data sources effectively and manage user and role-based access, which fosters improved security and governance. By leveraging this innovative solution, businesses can not only enhance their data management practices but also ensure compliance and security are maintained efficiently.
Description
Utilize a single platform to ensure that your asset, operational, and business data can seamlessly interact. We enable organizations across diverse sectors to simplify processes, eliminate obstacles, and enhance the speed of value realization through integrated solutions that effectively merge Physical (IoT/IIoT/OT) and Application (IT) data. With our platform, you can securely handle the ingestion of OT, IoT, IIoT, and business application data from a variety of disconnected systems, protocols, networks, and formats. Moreover, you can enrich contextual information, manage metadata, conduct transformations, and employ data mapping to work with standardized data models and schemas. This integration allows for the flow of data to various endpoints, supporting application and process logic, storage, data analysis, and both physical and digital automation efforts. Reekoh Accelerate™ stands out as a hybrid integration platform that treats data from both physical and digital assets with utmost importance. It equips users with a robust and flexible toolset for managing devices and data, as well as streamlining business workflows and automation processes to drive efficiency. By leveraging these capabilities, organizations can unlock the full potential of their data assets.
API Access
Has API
API Access
Has API
Integrations
Microsoft 365
AVEVA PI System
AWS Elastic Load Balancing
ActiveMQ
Amazon CloudWatch
Amazon Kinesis
Amazon S3
Amazon SES
Apache Kafka
Azure Industrial IoT
Integrations
Microsoft 365
AVEVA PI System
AWS Elastic Load Balancing
ActiveMQ
Amazon CloudWatch
Amazon Kinesis
Amazon S3
Amazon SES
Apache Kafka
Azure Industrial IoT
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
Progress
Founded
1981
Country
United States
Website
www.progress.com/connectors/cloud-data-integration
Vendor Details
Company Name
Reekoh
Founded
2015
Country
Australia
Website
reekoh.com
Product Features
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Product Features
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking