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What is dbt?

dbt Labs 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 Blazent?

Achieving an impressive 99% accuracy rate in your Configuration Management Database (CMDB) is essential, and maintaining this level consistently can significantly enhance operational efficiency. By drastically reducing the time needed to identify source systems for incidents, instantaneous resolution becomes possible, fostering a quicker response to issues. Ensuring complete visibility into risks and Service Level Agreement (SLA) exposure is crucial for effective management. Streamlining service billing processes helps to prevent underbilling and clawbacks while also minimizing manual efforts in billing and validation. Reducing maintenance and licensing costs associated with decommissioned and unsupported assets can lead to significant savings. Building trust and transparency is vital, as preventing major incidents and speeding up the resolution of outages strengthens stakeholder confidence. Addressing the complexities posed by Discovery tools while promoting integration throughout your IT ecosystem is necessary for improved functionality. Enhancing collaboration between IT Service Management (ITSM) and IT Operations Management (ITOM) allows for the merging of diverse IT data sets, which can create a more cohesive operational strategy. By securing a holistic understanding of your IT landscape through ongoing Configuration Item (CI) validation from a wide range of data sources, organizations can better manage their resources. Blazent stands out by ensuring exceptional data quality and reliability, delivering 100% accuracy across all aspects of your operations. Our commitment to transforming extensive IT and Operational Technology (OT) data into trusted information continually evolves to meet your organization's changing demands, reinforcing the importance of adaptability in today’s fast-paced technological environment.

Media

Media

Integrations Supported

Acryl Data
Amazon Redshift
Collate
DQOps
DataOps.live
GetDot.ai
Google Cloud BigQuery
Lightdash
Metaplane
Mode
OpenMetadata
Openbridge
Orchestra
Pantomath
PopSQL
Seekwell
Sifflet
TROCCO
Union Cloud
definity

Integrations Supported

Acryl Data
Amazon Redshift
Collate
DQOps
DataOps.live
GetDot.ai
Google Cloud BigQuery
Lightdash
Metaplane
Mode
OpenMetadata
Openbridge
Orchestra
Pantomath
PopSQL
Seekwell
Sifflet
TROCCO
Union Cloud
definity

API Availability

Has API

API Availability

Has API

Pricing Information

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

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard 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

Blazent

Date Founded

2000

Company Location

United States

Company Website

www.blazent.com

Categories and Features

Big Data

Your training encompasses information up until October 2023.

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Pipeline

dbt Labs is the driving force behind the transformation stage of contemporary data pipelines. After data is collected into a warehouse or lakehouse, dbt empowers teams to refine, structure, and document it, making it suitable for analytical purposes and artificial intelligence applications. With dbt, teams can: - Scale the transformation of unprocessed data using SQL and Jinja. - Manage pipeline orchestration through integrated dependency handling and scheduling features. - Foster trust by implementing automated testing and continuous integration protocols. - Map data lineage across models to expedite impact assessments. By incorporating software engineering methodologies into the development of pipelines, dbt Labs enables data teams to create dependable, production-ready pipelines, minimizing data liabilities and speeding up the time required to derive insights.

Data Preparation

dbt Labs revolutionizes data preparation by providing a structured and scalable approach that empowers teams to cleanse, transform, and organize raw data directly within the data warehouse. Rather than relying on isolated spreadsheets or cumbersome manual processes, dbt leverages SQL and adheres to software engineering best practices to ensure that data preparation is systematic, repeatable, and collaborative. With the capabilities offered by dbt, teams can: - Cleanse and standardize their data using reusable models that are version-controlled. - Consistently implement business logic across all data sets. - Ensure output accuracy through automated testing before data is made available to analysts. - Document and share context, ensuring that every prepared dataset is accompanied by lineage and definitions. By framing data preparation as a coding discipline, dbt Labs guarantees that the prepared datasets are not merely temporary solutions; they are reliable, governed, and production-ready resources that can grow alongside the business.

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Quality

Your knowledge is based on information available until October 2023.

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

ETL

dbt Labs revolutionizes the transformation aspect of ETL. Rather than depending on outdated pipelines or opaque transformation processes, dbt enables data teams to create, validate, and document transformations directly within the data warehouse or lakehouse. With dbt, teams are able to: - Convert raw data into analytics-ready models utilizing SQL and Jinja. - Ensure data integrity with integrated testing, version control, and continuous integration/continuous deployment (CI/CD). - Harmonize workflows among teams by using reusable models and collaborative documentation. - Take advantage of contemporary platforms such as Snowflake, Databricks, BigQuery, and Redshift for efficient transformation. By concentrating on the transformation layer, dbt Labs assists organizations in accelerating pipeline development timelines, minimizing data liabilities, and providing reliable insights more swiftly — enhancing the ingestion and loading processes within a modern ELT architecture.

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

Categories and Features

Data Quality

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

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