dbt Reviews & Ratings

dbt

5.0 out of 5 stars
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 4 Ratings

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 4.5 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 dbt?

dbt is the leading analytics engineering platform for modern businesses. By combining the simplicity of SQL with the rigor of software development, dbt allows teams to: - Build, test, and document reliable data pipelines - Deploy transformations at scale with version control and CI/CD - Ensure data quality and governance across the business Trusted by thousands of companies worldwide, dbt Labs enables faster decision-making, reduces risk, and maximizes the value of your cloud data warehouse. If your organization depends on timely, accurate insights, dbt is the foundation for delivering them.

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

Azure Marketplace
AccessOwl
Analytify AI
Braight
Databricks
Decube
Flyte
Fraoula Data Auditor
Google Cloud BigQuery
MetricSign
Openbridge
Orchestra
Seekwell
TROCCO
Validio
Zenlytic
Zipher
intermix.io
nao

Integrations Supported

Azure Marketplace
Amazon Web Services (AWS)

API Availability

API Availability

Pricing Information

$100 per user/ month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

dbt Labs

Date Founded

2016

Company Location

United States

Company Website

www.getdbt.com

Company Facts

Organization Name

Semarchy

Date Founded

2011

Company Location

United States

Company Website

www.semarchy.com

Categories and Features

Big Data

Collaboration
Data Cleansing

Data Catalog

Not specified

Data Engineering

Not specified

Data Integration

Not specified

Data Lineage

Database Change Impact Analysis
Filter Lineage Links

Data Modeling

Not specified

Data Pipeline

Not specified

Data Preparation

Collaboration Tools
Data Blending
Data Cleansing

Data Quality

Not specified

DataOps

Not specified

ETL

Data Filtering
Data Quality Control

Semantic Layer

Not specified

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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