Semarchy Data Platform (SDP) Reviews & Ratings

Semarchy Data Platform (SDP)

4.7 out of 5 stars
Company Website for Semarchy Data Platform (SDP)

Ratings and Reviews 1 Rating

Total 4 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

Ratings and Reviews 64 Ratings

Total 4.5 out of 5 stars
ease 4 out of 5 stars
features 4.5 out of 5 stars
design 4.5 out of 5 stars
support 4.5 out of 5 stars

What is TimeXtender?

INGEST. TRANSFORM. DELIVER. ALL THROUGH ONE TOOL. Create a data framework that can ingest, refine, structure, and deliver dependable, high-quality data as swiftly and efficiently as possible, all through a single, low-code interface. EVERY DATA INTEGRATION FUNCTION YOU REQUIRE IN A SINGLE PACKAGE. TimeXtender effortlessly enhances and speeds up your data framework, allowing you to develop a complete data solution in mere days instead of months, eliminating expensive delays and interruptions. Wave farewell to an assortment of mismatched tools and systems. Embrace a comprehensive data integration solution designed for flexibility and responsiveness. Harness the complete power of your data with TimeXtender. Our all-encompassing platform enables organizations to construct resilient data infrastructures while optimizing data processes, thus empowering each member of your team to contribute effectively. With TimeXtender, not only does data management become easier, but it also fosters collaboration across departments, ensuring everyone is aligned and informed. This transformative approach to data integration allows for a more strategic and insightful use of the information at your disposal.

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.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
Microsoft Azure
BenefitNet
DataForce
DataMart
Deloitte Cascade Suite
Kinective Migrate
Micropole
Microsoft 365
NTT Cloud Communications
Quasar AI
SQL Server
Sharedien
Visma Nova
Waypoint

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
Microsoft Azure
Experian Email Verification
Google Cloud Platform
Jitterbit

API Availability

Has API

API Availability

Pricing Information

$1,600/month
TimeXtender's pricing is based on how many instances you use each day. Our consumption-based pricing model means there is no subscription fee, no user fees, and no fees to "unlock" individual features. You only pay for what you actually use, and not a dollar more.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TimeXtender

Date Founded

2006

Company Location

United States, Denmark

Company Website

www.timextender.com

Company Facts

Organization Name

Semarchy

Date Founded

2011

Company Location

United States

Company Website

www.semarchy.com

Categories and Features

Data Analysis

Not specified

Data Integration

Not specified

Data Management

Not specified

Data Quality

Not specified

Data Warehouse

Not specified

ETL

Data Analysis
Data Filtering
Data Quality Control
Match & Merge
Metadata Management
Version Control

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

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