dbt

dbt

dbt Labs
Visit Website

About

Prolog is a logic programming language associated with artificial intelligence and computational linguistics. Prolog has its roots in first-order logic, a formal logic, and unlike many other programming languages, Prolog is intended primarily as a declarative programming language, the program logic is expressed in terms of relations, represented as facts and rules. A computation is initiated by running a query over these relations. Prolog was one of the first logic programming languages and remains the most popular such language today, with several free and commercial implementations available. The language has been used for theorem proving, expert systems, term rewriting, type systems, and automated planning, as well as its original intended field of use, natural language processing. Modern Prolog environments support the creation of graphical user interfaces, as well as administrative and networked applications.

About

SQL is a domain-specific programming language used for accessing, managing, and manipulating relational databases and relational database management systems.

About

Simple, fast, safe, and compiled. For developing maintainable software. Simple language for building maintainable programs. You can learn the entire language by going through the documentation over a weekend, and in most cases, there's only one way to do something. This results in simple, readable, and maintainable code. This results in simple, readable, and maintainable code. Despite being simple, V gives a lot of power to the developer and can be used in pretty much every field, including systems programming, webdev, gamedev, GUI, mobile, science, embedded, tooling, etc. V is very similar to Go. If you know Go, you already know 80% of V. Bounds checking, No undefined values, no variable shadowing, immutable variables by default, immutable structs by default, option/result and mandatory error checks, sum types, generics, and immutable function args by default, mutable args have to be marked on call.

About

dbt Labs helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, analysts and engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, 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 reduce data debt, increase trust, and accelerate insights 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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone in need of a declarative language for theorem proving, expert systems, term rewriting, and more

Audience

Developers and database admins

Audience

Developers interested in a language for building maintainable programs

Audience

SQL users looking for a ETL solution to engineer data transformations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

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

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Prolog
Founded: 1972
en.wikipedia.org/wiki/Prolog

Company Information

SQL
Founded: 1974
sourceforge.net/software/product/SQL/

Company Information

V Programming Language
United States
vlang.io

Company Information

dbt Labs
Founded: 2016
United States
www.getdbt.com

Alternatives

XAML

XAML

Microsoft

Alternatives

dbt

dbt

dbt Labs

Alternatives

Alternatives

QML

QML

Qt
Swift

Swift

Apple
Racket

Racket

Racket Language
Zig

Zig

Zig Software Foundation

Categories

Categories

Categories

Categories

dbt Labs powers the transformation layer of modern data pipelines. Once data has been ingested into a warehouse or lakehouse, dbt enables teams to clean, model, and document it so it’s ready for analytics and AI. With dbt, teams can: - Transform raw data at scale with SQL and Jinja. - Orchestrate pipelines with built-in dependency management and scheduling. - Ensure trust with automated testing and continuous integration. - Visualize lineage across models for faster impact analysis. By embedding software engineering practices into pipeline development, dbt Labs helps data teams build reliable, production-grade pipelines — reducing data debt and accelerating time to insight.

dbt Labs brings rigor and scalability to data preparation by enabling teams to clean, transform, and structure raw data directly in the warehouse. Instead of siloed spreadsheets or manual workflows, dbt uses SQL and software engineering best practices to make data preparation reliable, repeatable, and collaborative. With dbt, teams can: - Clean and standardize data with reusable, version-controlled models. - Apply business logic consistently across all datasets. - Validate outputs through automated tests before data is exposed to analysts. - Document and share context so every prepared dataset comes with lineage and definitions. By treating data preparation as code, dbt Labs ensures that prepared datasets aren’t just quick fixes — they’re trusted, governed, and production-ready assets that scale with the business.

ETL

dbt Labs modernizes the “T” in ETL. Instead of relying on legacy pipelines or black-box transformations, dbt empowers data teams to build, test, and document transformations directly inside the data warehouse or lakehouse. With dbt, teams can: - Transform raw data into analytics-ready models using SQL and Jinja. - Ensure reliability with built-in testing, version control, and CI/CD. - Standardize workflows across teams with reusable models and shared documentation. - Leverage modern platforms like Snowflake, Databricks, BigQuery, and Redshift for scalable transformation. By focusing on the transformation layer, dbt Labs helps organizations shorten pipeline development cycles, reduce data debt, and deliver trusted insights faster — complementing ingestion and loading tools in a modern ELT stack.

Big Data Features

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

Data Lineage Features

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 Preparation Features

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

ETL Features

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

Integrations

BlazeSQL
Chat2DB
Dolt
ERNIE X1
Five
GPT-4o mini
Gemini 1.5 Pro
Gemini 2.5 Pro
Hex
Kiro
Kognitos
OnSpace
OpenAI o1-mini
Reportql
Snipplr
TeamStation
Transpose
Turso
definity
{CodeStore}

Integrations

BlazeSQL
Chat2DB
Dolt
ERNIE X1
Five
GPT-4o mini
Gemini 1.5 Pro
Gemini 2.5 Pro
Hex
Kiro
Kognitos
OnSpace
OpenAI o1-mini
Reportql
Snipplr
TeamStation
Transpose
Turso
definity
{CodeStore}

Integrations

BlazeSQL
Chat2DB
Dolt
ERNIE X1
Five
GPT-4o mini
Gemini 1.5 Pro
Gemini 2.5 Pro
Hex
Kiro
Kognitos
OnSpace
OpenAI o1-mini
Reportql
Snipplr
TeamStation
Transpose
Turso
definity
{CodeStore}

Integrations

BlazeSQL
Chat2DB
Dolt
ERNIE X1
Five
GPT-4o mini
Gemini 1.5 Pro
Gemini 2.5 Pro
Hex
Kiro
Kognitos
OnSpace
OpenAI o1-mini
Reportql
Snipplr
TeamStation
Transpose
Turso
definity
{CodeStore}
Claim Prolog and update features and information
Claim Prolog and update features and information
Claim SQL and update features and information
Claim SQL and update features and information
Claim V Programming Language and update features and information
Claim V Programming Language and update features and information