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.
|
About
The visual query designer lets you create new SQL queries by drag'n'drop, and represent off-the-shelf queries visually. It makes SQL query analysis, creation, and modification much simpler. Using FlySpeed SQL Query, you can build parameterized queries, and browse data from linked tables via foreign keys. Your queries will be saved along with the database connection right beside the database object tree, so you'll be able to continue your work from the point where you stopped last time. The history of SQL query execution is saved automatically; all the settings used during your last session will be restored the next time you start FlySpeed SQL Query. The special Portable version will allow you to keep your database connection settings and queries at your fingertips. Install FlySpeed SQL Query to your cloud folder, network or portable drive and get access to your data and settings from all of your workstations.
|
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
|
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.
|
|||
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
Software Developers, System Integrators
|
Audience
Developers looking for an SQL query tool for any database
|
Audience
Database developers and administrators
|
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
$69.00/developer
Free Version
Free Trial
|
Pricing
$49 one-time payment
Free Version
Free Trial
|
Pricing
$129.95
Free Version
Free Trial
|
Pricing
$100 per user/ month
Free Version
Free Trial
|
|||
Reviews/
|
Reviews/
|
Reviews/
|
Reviews/
|
|||
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 InformationFast Reports
Founded: 1998
United States
www.fast-report.com/en/product/fast-query-builder/
|
Company InformationActiveDBSoft
www.activedbsoft.com/overview-querytool.html
|
Company InformationDevart
Founded: 1997
United States of America
www.devart.com
|
Company Informationdbt Labs
Founded: 2016
United States
www.getdbt.com
|
|||
Alternatives |
Alternatives |
Alternatives |
Alternatives |
|||
|
|
||||||
|
|
||||||
|
|
|
|
||||
|
|
|
|
||||
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. |
|||
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
Amazon Redshift
Braight
Cake AI
Collate
Dagster
DataHub
DataOps.live
Decube
Delphi
Flyte
|
Integrations
Amazon Redshift
Braight
Cake AI
Collate
Dagster
DataHub
DataOps.live
Decube
Delphi
Flyte
|
Integrations
Amazon Redshift
Braight
Cake AI
Collate
Dagster
DataHub
DataOps.live
Decube
Delphi
Flyte
|
Integrations
Amazon Redshift
Braight
Cake AI
Collate
Dagster
DataHub
DataOps.live
Decube
Delphi
Flyte
|
|||
|
|
|
|
