Semarchy Data Platform (SDP)
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What is Semarchy Data Platform (SDP)?
Semarchy Data Platform (SDP) provides an enterprise data management environment that unifies data integration, master data management, data quality, and governance within a single platform. The solution is built around the concept of reusable Data Products that package business information, processing logic, and access interfaces into independently managed components. Each Data Product can contain data entities, validation rules, transformation pipelines, APIs, semantic models, and descriptive metadata that define how information is structured and consumed. Built-in ownership and lifecycle management capabilities help organizations maintain accountability and consistency as data assets evolve. SDP supports a DataOps-oriented development process in which engineers design solutions using Visual Studio Code, track changes through Git, and manage releases with continuous integration and deployment pipelines. Automated testing and rollback functionality enable teams to validate modifications and recover from unsuccessful deployments without disrupting established data workflows. AI-powered design assistance helps users create data models, configure business rules, and accelerate the development of governed data assets. Integrated governance functionality includes data lineage, access management, quality controls, and metadata management to support trusted information throughout its lifecycle. Organizations can deploy the platform as a managed SaaS solution, within self-hosted infrastructure, or natively in Snowflake, depending on their technical and operational requirements. By replacing fragmented data management tools with a unified, reusable architecture, Semarchy Data Platform helps enterprises reduce integration complexity, accelerate data delivery, and provide consistent information for analytics, applications, and business operations.
What is HighByte Intelligence Hub?
HighByte Intelligence Hub is a specialized Industrial DataOps software solution tailored for effective industrial data modeling, governance, and delivery.
This platform empowers mid-size to large industrial enterprises to enhance and expand their operational data usage across the organization by ensuring that this crucial information is contextualized, standardized, and safeguarded.
By deploying the software at the Edge, users can integrate and model real-time, transactional, and time-series data into a cohesive payload, providing contextualized and correlated insights to all necessary applications.
This approach not only accelerates analytics but also supports various Industry 4.0 applications, offering a robust digital infrastructure solution that is designed to scale effectively.
Ultimately, HighByte Intelligence Hub serves as a crucial tool for organizations looking to harness the full potential of their data in today’s competitive landscape.
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Azure Marketplace
CLEAN_Data
Experian Email Verification
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
AVEVA PI System
Apache Kafka
Aspen InfoPlus
Databricks
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
18,500 per year
HighByte Intelligence Hub is available as an annual subscription. All licenses include unlimited data models and pipelines as well as premium features like High Availability, PI System integration, the embedded MQTT Broker, UNS Client, REST Data Server, and MCP Services. Your license also includes access to version upgrades, beta releases, product documentation, and technical support throughout the subscription term.
Free Trial Offered?
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Supported Platforms
Windows
Mac
On-Prem
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
Company Facts
Organization Name
Semarchy
Date Founded
2011
Company Location
United States
Company Website
www.semarchy.com
Company Facts
Organization Name
HighByte
Date Founded
2018
Company Location
United States
Company Website
www.highbyte.com
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
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
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Product Data Management
Bill of Material Management
Document Management
Formula Management
Product Analytics
Product Lifecycle Management
Testing Management
Version Control
Categories and Features
Data Cleansing
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Raw Data Ingestion
Sample Testing
Data Management
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Data Quality
Data Discovery
Master Data Management
Metadata Management
DataOps
Not specified
ETL
Data Filtering
Data Quality Control
Metadata Management
Non-Relational Transformations
Version Control
Integration
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Manufacturing Analytics
Not specified
Manufacturing Intelligence
Aggregation
Contextualization
Propagation