Hack your Database like a Pro

Productivity tools for your relational database system

Visual Xtractor
FREE!
Transform your SQL query results into regular and inline charts
With manually entered SQL queries and limited number of SQL builders.
Horizontal Inline Bars
Dozens of Chart Types
Quick Chart Creation
No Intermediate Repositories
No Need for Coding
Multiple Chart Themes
Builtin and Custom Images
Inline Spark Charts
Fast Chart Recipes
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Query Xtractor
FREE!
Design your SQL queries with our friendly universal query builder
With no chart builders and independent model diagrams
Visual Query Builder
Universal Query Generator
Pivot/Unpivot Queries
Emulated Grouping Sets
Drill-Down on Relationships
Sort with Nulls
Window Functions
Parameterized Queries
Nested Aggregates
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Model Xtractor
FREE!
Extract rich and flexible ER models from any relational database
With no query builders, query generator and chart support.
Instant Model Extraction
Enhanced Data Models
Expandable Relationship Items
Custom Joins and Chains
Custom Aliases
Generic Model Views
Universal Database Support
Collapsible Shapes
Multiple Themes
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Data Xtractor

Data Xtractor = Visual Xtractor + Query Xtractor + Model Xtractor

What People Say

Scott Clark

Scott Clark

VOI Consulting

"Model Xtractor was a breeze to learn, and Query Xtractor has some built-in safety features, which came in very handy."

Lenny Zhurbilo

Lenny Zhurbilo

Staples

"We were searching for query tool to replace Brio and Query Xtractor looked very promising for us."

Alexandru Sasu

Alexandru Sasu

Softpedia

"Sophisticated enough to handle a broad range of databases, and intuitive enough to be a learning tool for beginners."

Our Latest Posts

Neo4j Graph Algorithms: (5) Link Prediction Algorithms

Link Prediction algorithms or rather functions help determine the closeness of a pair of nodes. The computed scores can then be used to predict new relationships between them. This visual presentation of the Neo4j graph algorithms is focused on quick understanding and less implementation details. With small reusable samples, for less time-consuming labs.

Neo4j Graph Algorithms: (4) Community Detection Algorithms

Community detection algorithms are used to evaluate how groups of nodes are clustered or partitioned, as well as their tendency to strengthen or break apart. This visual presentation of the Neo4j graph algorithms is focused on quick understanding and less implementation details. With small reusable samples, for less time-consuming labs.

Neo4j Graph Algorithms: (3) Similarity Algorithms

Similarity algorithms compute the similarity of pairs of nodes using different vector-based metrics. This visual presentation of the Neo4j graph algorithms is focused on quick understanding and less implementation details. With small reusable samples, for less time-consuming labs.