About
DbVisualizer is one of the world's most popular database editors.
With almost 7 million downloads and Pro users in 150 countries worldwide, it won't disappoint you. Free and Pro versions are available.
Developers, analysts, and DBAs use it to elevate their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data, auto-generate, write, and optimize queries, and so much more. It connects to all popular databases, such as MySQL, PostgreSQL, SQL Server, Oracle, Cassandra, Snowflake, SQLite, BigQuery, and 30+ others, and runs on all popular OSes (Windows, macOS, and Linux).
A powerful SQL editor with intelligent autocomplete, visual query builders, variables, and more. You can fully control window layouts, key bindings, UI theme, mark scripts, and database objects as favorites for quick access or even work outside of DbVisualizer. DbVisualizer is also built to meet rigorous security standards, all configurable within the product.
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About
FastQueryBuilder is an easy to use visual SQL query builder. It works with local and client-server databases.
Let's your customers create DB queries without SQL! FastQueryBuilder enables you to work with local and client-server databases by means of the BDE. It also allows you to work with other data-access components such as ADO, IBX and FIBPlus.
Main features:
- Supports Embarcadero (ex Borland and ex CodeGear) Delphi, C++Builder 4-7 and RAD Studio 2005-2009 and Lazarus.
- Displays a visual model of the query for use and editing.
- Possible to embed Visual Query Designer into any window in your application.
- Allows FastQueryBuilder designer to be integrated into any application window.
- Offers full visual customization of query parameters.
It is so simple to query a DB: open FastQueryBuilder -> make a query -> see the result.
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About
dbForge Query Builder for SQL Server is a professional tool for designing complex SQL queries in a visual mode using query diagrams and drag-and-drop capabilities. The tool enables SQL developers to quickly and accurately create sophisticated queries without manual code typing, including queries with numerous subqueries.
Key Features:
- SQL statement builder executes created queries and edits tables data
- Accelerate routine tasks with integrated AI Assistant
- Construct data manipulation queries without manual coding
- Auto Join of columns by primary/foreign key or name
- Combine a few queries to a sub-query via visual SQL editor
- Sort and filter data based on a custom complex criteria
- Reverse engineer queries it into a visual representation
- Use visual SQL query builder to profile designed queries
dbForge Query Builder for SQL Server significantly reduces the need for manual code ty
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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.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers, analysts and DBAs in need of a database tool solution to manage, edit and customize databases
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Audience
Software Developers, System Integrators
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Audience
Database developers and administrators
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Audience
SQL users looking for a ETL solution to engineer data transformations
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
$69.00/developer
Free Version
Free Trial
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Pricing
$129.95
Free Version
Free Trial
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Pricing
$100 per user/ month
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationDbVisualizer
Founded: 2003
Sweden
www.dbvis.com
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Company InformationFast Reports
Founded: 1998
United States
www.fast-report.com/en/product/fast-query-builder/
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Company InformationDevart
Founded: 1997
United States of America
www.devart.com
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Company Informationdbt Labs
Founded: 2016
United States
www.getdbt.com
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categoriesdbt 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 and columns for faster impact analysis. By embedding software engineering practices into pipeline development, dbt helps data teams build reliable, production-grade pipelines to accelerate time to insight, and deliver AI-ready data. dbt 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 ensures that prepared datasets aren’t just quick fixes — they’re trusted, governed, and production-ready assets that scale with the business. dbt modernizes the “T” in ETL: Transformation. 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 helps organizations shorten pipeline development cycles, reduce data debt, and deliver trusted insights faster — complementing ingestion and loading tools in a modern ELT stack. |
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Data Analysis Features
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
IDE Features
Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor
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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
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Integrations
C
Cake AI
Cargo
Dagster
Datafold
Elasticsearch
Flyte
HyperSQL DataBase
Java
Metaphor
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Integrations
C
Cake AI
Cargo
Dagster
Datafold
Elasticsearch
Flyte
HyperSQL DataBase
Java
Metaphor
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Integrations
C
Cake AI
Cargo
Dagster
Datafold
Elasticsearch
Flyte
HyperSQL DataBase
Java
Metaphor
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Integrations
C
Cake AI
Cargo
Dagster
Datafold
Elasticsearch
Flyte
HyperSQL DataBase
Java
Metaphor
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