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November 30, 2022
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Raw Query

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Query databases using natural conversation.
By unverified author Claim this AI
Raw Query is an artificial intelligence tool designed to facilitate direct communication with databases using conversational language. This tool allows users, whether they are developers or business intelligence professionals, to interact with their databases as if they were speaking to a colleague. By utilizing natural language processing, Raw Query simplifies complex database queries, data entry, updates, and exports without the need for traditional database querying languages or the development of internal tools.

The core functionality of Raw Query includes querying data, adding new data entries, and updating existing information. For instance, users can easily retrieve the email addresses of recent clients, insert new sales data, or modify client information directly through conversational inputs. This process not only minimizes the learning curve associated with database management but also significantly reduces the time typically spent on creating and managing multiple internal tools.

Raw Query's design emphasizes ease of use, with a simple setup process where users need only provide a connection string to begin interacting with their database. This accessibility makes it particularly appealing to non-technical users who require quick data interactions without deep technical expertise.

Moreover, Raw Query is adaptable to various business sizes and needs, offering several subscription plans that cater to different user volumes and database requirements. Each plan is tailored to accommodate everything from individual founders to large teams, ensuring scalability and flexibility.

This tool is particularly beneficial for users looking to streamline database management tasks, enhance productivity, and eliminate the traditional complexities associated with database interactions.
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Pricing

Pricing model
Freemium
Paid options from
$39/month
Billing frequency
Monthly
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Raw Query was manually vetted by our editorial team and was first featured on November 30th 2022.

Pros and Cons

Pros

In-built code editor
Built-in SQL optimizer
Advanced querying capabilities
Supports complex SQL codes
High speed query execution
Raw data manipulation
Data visualization features
Automated code generation
Real-time error detection
Syntax highlighting
Supports multiple databases
Code completion suggestions
Advanced filtering options
Support for variable binding
Structured and unstructured data handling
Analytical function support
Efficient data indexing
Statistical analysis capabilities
Handy query templates
Data security features
Concurrency control
Data version control
Scheduled execution of queries
Rollback and recovery support
Automatic query optimization
Drag and drop interface
Data partitioning support
Query execution plans
Data import and export
Easy debugging tools
Supports regular expressions
Transaction isolation levels
Multithreading support
Query progress monitor
Table and index partitioning
Stored procedures support
Explicit locking
Offline mode support
Cross-platform compatibility
Enables database tuning
Performance monitoring features

View 36 more pros

Cons

No multi-database support
Limited query optimization
No query history
Inadequate error handling
Lacks advanced analytic capabilities
No visualization tools
Poor syntax highlighting
Cannot handle large datasets
No import/export functionality
Limited database object manipulation

View 5 more cons

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Q&A

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