Semarchy Data Platform (SDP)

Semarchy Data Platform (SDP)

Semarchy
4.7 out of 5 stars
dbt

dbt

dbt Labs
5.0 out of 5 stars
Visit Website for Semarchy Data Platform (SDP)
Learn More about dbt
Update Features for dbt
Add To Compare
Add To Compare
Semarchy Data Platform (SDP) dbt
Semarchy Data Platform (SDP):

About

Semarchy Data Platform (SDP) is a unified data management platform that delivers trusted enterprise data as governed, reusable Data Products. Instead of stitching together separate tools for master data, data quality, integration, and governance, SDP brings these capabilities together in one platform, by design. Every asset (entities, rules, pipelines, APIs, and semantic models) belongs to a Data Product with clear ownership, a versioned lifecycle, and self-describing metadata. Teams build once and reuse across operational systems, analytics, and applications. DataOps is built in: design in VS Code, version in Git, and deploy through CI/CD with testing and rollback. AI-assisted design speeds up modeling and rule configuration, while governance, lineage, and access control stay part of every step. Deploy as SaaS, self-hosted, or natively in Snowflake. The result: less tool sprawl, faster delivery, and data the business can trust.
dbt:

About

dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow. Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence.
Semarchy Data Platform (SDP):

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
dbt:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Semarchy Data Platform (SDP):

Audience

Data Leaders, Data Architects, Business Lines
dbt:

Audience

SQL users looking for a ETL solution to engineer data transformations
Semarchy Data Platform (SDP):

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported
dbt:

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported
Semarchy Data Platform (SDP):

API

Offers API Not Supported
dbt:

API

Offers API Not Supported
Semarchy Data Platform (SDP):

Screenshots and Videos

Play Video Semarchy Data Platform Master Data Management Match & Merge Semarchy - Data Modeling View more images or videos
dbt:

Screenshots and Videos

Play Video dbt Screenshot 1 dbt Screenshot 1 dbt Screenshot 1 dbt Screenshot 1 dbt Screenshot 1 View more images or videos
Semarchy Data Platform (SDP):

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
dbt:

Pricing

$100 per user/ month
Free Version Supported
Free Trial Supported
Semarchy Data Platform (SDP):

Reviews/Ratings

Overall 4.7 / 5
ease 4.1 / 5
features 4.3 / 5
design 4.5 / 5
support 4.4 / 5
dbt:

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.8 / 5
design 4.8 / 5
support 4.2 / 5
Semarchy Data Platform (SDP):

Pros from Real Users

Pros

  • With Semarchy, we avoid extra costs; we have our data architecture. Data management allows us to have a complete view. It is in-depth.
  • The MDM solution for Semarchy is excellent and uses band of data models to load the refined data into the MDM , The team have been very supportive in explaining the product and engaging with us for collaboration.
  • Unlike most Master Data Management solutions, this tool is easy to deploy and offers great features and functionalities making it one of the best in the market. The tool is secure and it is cloud based.
  • Using Semarchy xDM has been very fulfilling owing to what we can achieve with this tool. Everything from implementation to scaling the tool has always been flawless.
  • Setting up this tool and customizing it to meet your business needs was pretty easy. With many features, there is a lot we can achieve with this MDM solution .
  • Installing the tool was easy and I like that there are regular updates to keep the tool working perfectly. It comes with all the features of an MDM and never fails Customizing this tool is effortless.
  • Semarchy xDM comes with many perks. First, deployment is affordable and easy. The tool is very resourceful and therefore perfect as an MDM tool Scaling and using the tool is easy.
  • I have used Semarchy xDM and I like a few things First, the user interface is amazing. The dashboards is rich with great features and everything is where you would expect it to be.
  • I like that Semarchy xDM is ideal for businesses of all sizes thanks to the ease of scaling. The tool is easy to use and customize.
  • After using Semarchy xDM for close to two years, I can say the tool is very reliable, easy to use, and scaling is easy as well.
dbt:

Pros & Cons from Real Users

Pros

  • Ease of use and Features. Easy to setup, integrate, and get started quickly Less maintenance Out of the box CI/CD integration with Git Easy to learn.
  • - Credential and version management is offloaded to the cloud - Simple-to-use orchestration - Seamless state management - Integrated documentation and lineage - Collaborative development experience - Native CI/CD integration - Centralized logging and observability - Enterprise-grade access control and auditability - Easy environment management - Rapid onboarding for new users
  • We use dbt for our data transformations. It's been a game changer from a Data Engineering and Analytics Engineering standpoint. It has accelerated our migration from legacy systems and made our pipelines 80% faster. We have increased visibility in our projects, a catalog and many other data quality indicators.
  • dbt has been one of the most transformative tools in my data career. It gives teams a clean, maintainable way to translate business logic into reliable, production-grade data models. It standardizes the entire development lifecycle — modeling, testing, documentation, version control, CI/CD, and lineage — in a way that allows analytics engineers and data engineers to work with clarity and confidence. It’s the backbone of our governed analytics strategy. Exceptional developer workflow: Modular SQL, version control, built-in testing, documentation, and macros allow us to scale complex business logic with consistency and reliability. Scales with organizational change: dbt has allowed us to redesign core product and customer analytics with patterns that are resilient to future product launches and schema changes.

Cons

  • Limited product Usage metrics. Product usage insights/Metrics can be better. Metrics around AI usage by developers with in the product will help.
  • - Individual capabilities are not as robust as dedicated tools. for example, orchestration is simple to use but lacks the flexibility, customization, and advanced scheduling logic of dedicated orchestrators
  • I think that the pricing model can easily become a barrier. The cost per model run is a terrible bottleneck for us and affects our capacity to architect following best practices.
  • dbt IDE could be more flexible with Git operations. Advanced users would benefit from features like git stash, more granular branch management, and better conflict-resolution tools directly in the IDE. This would remove friction during rapid iteration or when working across multiple branches. More built-in patterns for complex incremental modeling would be helpful for teams dealing with very high data volumes and dynamic product schemas.
Semarchy Data Platform (SDP):

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported
dbt:

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported
Semarchy Data Platform (SDP):

Company Information

Semarchy
Founded: 2011
United States
www.semarchy.com
dbt:

Company Information

dbt Labs
Founded: 2016
United States
www.getdbt.com
Semarchy Data Platform (SDP):

Alternatives

Goldright Agile Data Manager

Goldright Agile Data Manager

Goldright GmbH
dbt:

Alternatives

DataHub

DataHub

4.5 out of 5 stars
Semarchy Data Platform (SDP):
Ataccama ONE

Ataccama ONE

Ataccama
dbt:
TIMi

TIMi

4.9 out of 5 stars
Semarchy Data Platform (SDP):
ON EBX

ON EBX

Cloud Software Group
dbt:
Dataiku

Dataiku

5.0 out of 5 stars
Semarchy Data Platform (SDP):
SCIKIQ

SCIKIQ

4.6 out of 5 stars
dbt:
Databricks

Databricks
Semarchy Data Platform (SDP):
Atlan

Atlan

View All
dbt:
SCIKIQ

SCIKIQ

4.6 out of 5 stars
View All
Semarchy Data Platform (SDP):

Categories

Data Discovery Supported
Data Governance Supported
Data Management Supported
Data Quality Supported
ETL Supported
Integration Supported
Master Data Management Supported
Product Data Management Supported
dbt:

Categories

Big Data Supported
Data Catalog Supported
Data Engineering Supported
Data Integration Supported
Data Lineage Supported
Data Modeling Supported
Data Pipeline Supported
Data Preparation Supported
Data Quality Supported
DataOps Supported
ETL Supported
Semantic Layer Supported
Semarchy Data Platform (SDP):

Data Quality Features

Address Validation Supported
Data Deduplication Supported
Data Discovery Supported
Data Profililng Supported
Master Data Management Supported
Match & Merge Supported
Metadata Management Supported

ETL Features

Data Analysis Supported
Data Filtering Supported
Data Quality Control Supported
Job Scheduling Supported
Match & Merge Supported
Metadata Management Supported
Non-Relational Transformations Supported
Version Control Supported
Show More Features

Data Discovery Features

Contextual Search Supported
Data Classification Supported
Data Matching Supported
False Positives Reduction Supported
Self Service Data Preparation Supported
Sensitive Data Identification Supported
Visual Analytics Supported

Data Governance Features

Access Control Supported
Data Discovery Supported
Data Mapping Supported
Data Profiling Supported
Deletion Management Supported
Email Management Supported
Policy Management Supported
Process Management Supported
Roles Management Supported
Storage Management Supported

Data Management Features

Customer Data Supported
Data Analysis Supported
Data Capture Supported
Data Integration Supported
Data Migration Supported
Data Quality Control Supported
Data Security Supported
Information Governance Supported
Master Data Management Supported
Match & Merge Supported

Integration Features

Dashboard Supported
ETL - Extract / Transform / Load Supported
Metadata Management Supported
Multiple Data Sources Supported
Web Services Supported

Master Data Management Features

Data Governance Supported
Data Masking Supported
Data Source Integrations Supported
Hierarchy Management Supported
Match & Merge Supported
Metadata Management Supported
Multi-Domain Supported
Process Management Supported
Relationship Mapping Supported
Visualization Supported

Product Data Management Features

Bill of Material Management Supported
Document Management Supported
Formula Management Supported
Product Analytics Supported
Product Lifecycle Management Supported
Testing Management Supported
Version Control Supported
dbt:

ETL Features

Data Analysis Not Supported
Data Filtering Supported
Data Quality Control Supported
Job Scheduling Not Supported
Match & Merge Not Supported
Metadata Management Not Supported
Non-Relational Transformations Not Supported
Version Control Not Supported
Show More Features

Big Data Features

Collaboration Supported
Data Blends Not Supported
Data Cleansing Supported
Data Mining Not Supported
Data Visualization Not Supported
Data Warehousing Not Supported
High Volume Processing Not Supported
No-Code Sandbox Not Supported
Predictive Analytics Not Supported
Templates Not Supported

Data Lineage Features

Database Change Impact Analysis Supported
Filter Lineage Links Supported
Implicit Connection Discovery Not Supported
Lineage Object Filtering Not Supported
Object Lineage Tracing Not Supported
Point-in-Time Visibility Not Supported
User/Client/Target Connection Visibility Not Supported
Visual & Text Lineage View Not Supported

Data Preparation Features

Collaboration Tools Supported
Data Access Not Supported
Data Blending Supported
Data Cleansing Supported
Data Governance Not Supported
Data Mashup Not Supported
Data Modeling Not Supported
Data Transformation Not Supported
Machine Learning Not Supported
Visual User Interface Not Supported
Semarchy Data Platform (SDP):

Integrations

Azure Marketplace Supported
AccessOwl Not Supported
Apache Ossie Not Supported
Braight Not Supported
CLEAN_Data Supported
Cuckoo Not Supported
DQOps Not Supported
Dagster Not Supported
Datakin Not Supported
Decube Not Supported
Dosi Not Supported
Fraoula Data Auditor Not Supported
Matia Not Supported
Openbridge Not Supported
Paradime Not Supported
Seekwell Not Supported
Snowflake Not Supported
Zipher Not Supported
definity Not Supported
intermix.io Not Supported
Show More Integrations
View All 10 Integrations
dbt:

Integrations

Azure Marketplace Supported
AccessOwl Supported
Apache Ossie Supported
Braight Supported
CLEAN_Data Not Supported
Cuckoo Supported
DQOps Supported
Dagster Supported
Datakin Supported
Decube Supported
Dosi Supported
Fraoula Data Auditor Supported
Matia Supported
Openbridge Supported
Paradime Supported
Seekwell Supported
Snowflake Supported
Zipher Supported
definity Supported
intermix.io Supported
Show More Integrations
View All 65 Integrations
dbt:
Claim dbt and update features and information
Claim dbt and update features and information