Related Products
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About
ThinkSQL is a powerful, cross-platform relational database management system designed for modern operating systems and hardware. It aims to comply fully with the ISO SQL standard to provide an open and flexible SQL server for your applications. Compliance with the SQL standard means it supports transactions, sub-selects, views, set operators (union, except, intersect), access privileges and comprehensive referential constraints to ensure the integrity of your data. ThinkSQL uses a multi-versioning engine to provide consistent views of data and concurrent access to rows without locking. The server also has stored procedures and functions (using the standard syntax), and has support for large multimedia objects. It's easy to install, runs on Windows ® and Linux ®, and has native ODBC, JDBC™, dbExpress™ and Python drivers so your applications can connect directly from any platform.
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About
TurboSQL is a blazing-fast, AI-powered SQL desktop application designed to enhance developer productivity. Built on the Tauri framework, it offers near-native performance, ensuring that queries run instantly. It features a keyboard-first design, allowing users to execute actions swiftly without relying on a mouse. With smart organization capabilities, developers can neatly arrange their queries into folders and files, mirroring a typical coding environment. TurboSQL's built-in AI assistant can generate SQL queries from plain English, explain complex SQL statements, and autocomplete queries intelligently based on the database schema. The user interface is minimalistic and supports dark mode, providing a clean and enjoyable workspace. TurboSQL supports unlimited database connections and emphasizes a fully secure, local-first experience. It's tailored for developers who seek speed, simplicity, and efficiency in their SQL workflows.
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About
VectorDB is a lightweight Python package for storing and retrieving text using chunking, embedding, and vector search techniques. It provides an easy-to-use interface for saving, searching, and managing textual data with associated metadata and is designed for use cases where low latency is essential. Vector search and embeddings are essential when working with large language models because they enable efficient and accurate retrieval of relevant information from massive datasets. By converting text into high-dimensional vectors, these techniques allow for quick comparisons and searches, even when dealing with millions of documents. This makes it possible to find the most relevant results in a fraction of the time it would take using traditional text-based search methods. Additionally, embeddings capture the semantic meaning of the text, which helps improve the quality of the search results and enables more advanced natural language processing tasks.
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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
Companies searching for a solution to manage and improve their database operations
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Audience
Software developers and data analysts looking for a tool to streamline their database querying and management tasks
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Audience
Anyone in need of a tool to save, search, store, manage, and retrieve text
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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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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
$25 per month
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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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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Company InformationThinkSQL
United Kingdom
www.thinksql.co.uk
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Company InformationTurboSQL
United States
www.turbosql.co
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Company InformationVectorDB
United States
vectordb.com
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Categories |
Categories |
Categories |
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RDBMS Features
Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization
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Integrations
JSON
Lamatic.ai
MariaDB
MySQL
PostgreSQL
Python
SQL
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