About SQL Data Analysis
SQL Data Analysis is a data analysis software from Yohz Software that provides actionable insights from the SQL data sets quickly and easily. It combines grouping, OLE export access, OLE import access, and SQL blob export so users can efficiently analyze and work with their data. SQL Data Analysis includes features such as an SQL image viewer and an intuitive interface for improved usability. The software is designed for both novice and experienced data analysts, allowing them to perform complex queries and visualize results without significant overhead. Key capabilities: Grouping Access OLE Export Access OLE Import SQL Blob Export SQL Image Viewer Best for: data analysts that need to derive insights from SQL databases.
SQL Data Analysis (SDA) by Yohz Software presents itself as a capable and cost-effective desktop solution for analyzing SQL database content, appealing primarily to data analysts, business users, DBAs, and small- to medium-sized enterprises that rely heavily on structured data. Its core advantage lies in providing a seamless and interactive environment for querying, transforming, and exploring SQL datasets through rich features like analysis tables, pivot tables, sorting, filtering, grouping, and conditional formatting. Designed as an on-premise Windows application, SDA offers wide compatibility with numerous popular databases, including PostgreSQL, MySQL, Oracle, SQL Server, SQLite, and even legacy systems like Microsoft Access. This allows users to connect to virtually any data source that supports SQL or ODBC and begin analyzing data directly using custom queries. The software stands out for its user-friendly interface, built with intuitiveness in mind. Features such as drag-and-drop capabilities, real-time chart updates that reflect pivot table layout changes, and fully interactive tables allow users to manipulate and understand data with ease, even without deep technical expertise.
Pros & Cons
- Flexible Data Exploration: Offers grouping, sorting, filtering, and conditional highlighting to uncover patterns and trends.
- Pivot Table Support: Enables multi-dimensional analysis with customizable summaries and dimensions.
- Visualizations: Built-in charting tools help visualize trends and comparisons quickly.
- Multi-Format Export: Supports exporting to PDF, Excel, HTML, and XML—great for sharing insights.
- Broad Database Compatibility: Works with PostgreSQL, MySQL, Oracle, SQL Server, SQLite, Access, and more.
- Affordable Pricing: One-time license fee of USD 45 with a 14-day free trial—budget-friendly for individuals and small teams.
- No-Code Analysis: Designed for users who want to analyze SQL data without writing complex scripts.
- Windows-Only: Appears to be a desktop application with no mention of macOS or web-based access.
- No Real-Time Collaboration: Lacks cloud-based features for team collaboration or live dashboards.
- Limited Automation: Doesn’t mention scheduling, alerts, or integration with external tools or APIs.
- No AI/ML Features: Focuses on manual analysis—no predictive modeling or machine learning capabilities.
- Basic UI: While functional, the interface may feel dated or less modern compared to newer BI tools.
Features
Key features
Allows users to analyze data across various dimensions and gain new insights by arranging dimensions in rows or columns.
Enables users to visualize high-level summaries using charts that dynamically update based on the pivot table's layout.
Can connect to a wide range of database engines, including PostgreSQL, MySQL, Oracle, SQL Server, and Microsoft Access.
Users can highlight exceptional data values using flexible rules and formulas to quickly spot trends or anomalies.
Provides full access to the underlying transactional data even while slicing and dicing summaries in analysis tables and pivot tables.
Offers flexible options for sorting, filtering, grouping, and summarizing data sets to uncover new patterns.
Additional features
Imports data sets from various databases using SQL queries.
Analyzes data sets using analysis tables.
Analyzes data sets using pivot tables across various dimensions.
Groups columns in any desired order to summarize data and uncover patterns.
Creates summaries for any column, with multiple summary functions and views in group headers, footers, and column footers.
Highlights exceptional values using flexible rules and formulas.
Sorts one or more columns in ascending or descending order.
Filters each column to display specific data and allows for complex filtering rules.
Switches summary types by selecting different functions.
Creates and arranges multiple dimensions in rows or columns.
Groups dimension values to uncover new trends and patterns.
Provides full access to transactional data behind summaries in pivot tables.
Uses charts for high-level summaries, with charts updating dynamically with the pivot table layout.
Creates PDF reports from analyses.
Exports analysis to Excel, HTML, and XML files.
Arranges analysis tables, pivot tables, and charts in a customizable layout.
Connects to PostgreSQL, MySQL, MariaDB, Oracle, SQL Server, SQL Server Compact, SQL Azure, SQLite, Microsoft Access, Firebird, and ODBC-supported databases.
Pricing
Countries & Languages
Interface languages
Billing currencies
No reviews yet
Be the first to drop a review
Alternatives to SQL Data Analysis
ChemStat
ChemStat is a statistical analysis software for environmental data, designed for Windows. It helps analyze…
DewesoftX
DewesoftX is a data acquisition software from Dewesoft that provides comprehensive test and measurement monitoring…
DataFi Analytics Dashboard
DataFi Analytics Dashboard is a data management platform from DataFi that provides a unified interface…
Databricks Data Intelligence Platform
Databricks Data Intelligence Platform is a data analytics software from Databricks that powers AI-driven analytics…
Spot something wrong or outdated?
Suggest a correction — a reviewer verifies every change.
About SQL Data Analysis
SQL Data Analysis is a data analysis software from Yohz Software that provides actionable insights from the SQL data sets quickly and easily. It combines grouping, OLE export access, OLE import access, and SQL blob export so users can efficiently analyze and work with their data. SQL Data Analysis includes features such as an SQL image viewer and an intuitive interface for improved usability. The software is designed for both novice and experienced data analysts, allowing them to perform complex queries and visualize results without significant overhead. Key capabilities: Grouping Access OLE Export Access OLE Import SQL Blob Export SQL Image Viewer Best for: data analysts that need to derive insights from SQL databases.
SQL Data Analysis Details
SQL Data Analysis's In-App Market Place
Does SQL Data Analysis have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), CNY (¥), AUD (A$), CAD (C$), CHF (CHF), SEK (kr), SGD (S$), INR (₹), RUB (₽), MXN (Mex$)
Pros & Cons
- Flexible Data Exploration: Offers grouping, sorting, filtering, and conditional highlighting to uncover patterns and trends.
- Pivot Table Support: Enables multi-dimensional analysis with customizable summaries and dimensions.
- Visualizations: Built-in charting tools help visualize trends and comparisons quickly.
- Multi-Format Export: Supports exporting to PDF, Excel, HTML, and XML—great for sharing insights.
- Broad Database Compatibility: Works with PostgreSQL, MySQL, Oracle, SQL Server, SQLite, Access, and more.
- Affordable Pricing: One-time license fee of USD 45 with a 14-day free trial—budget-friendly for individuals and small teams.
- No-Code Analysis: Designed for users who want to analyze SQL data without writing complex scripts.
- Windows-Only: Appears to be a desktop application with no mention of macOS or web-based access.
- No Real-Time Collaboration: Lacks cloud-based features for team collaboration or live dashboards.
- Limited Automation: Doesn’t mention scheduling, alerts, or integration with external tools or APIs.
- No AI/ML Features: Focuses on manual analysis—no predictive modeling or machine learning capabilities.
- Basic UI: While functional, the interface may feel dated or less modern compared to newer BI tools.
SQL Data Analysis's Support Options
Email Address
support@yohz.comContact
6012-9714904SQL Data Analysis's Alternatives
ChemStat
ChemStat is a statistical analysis software for environmental data, designed for Windows. It helps analyze…
DewesoftX
DewesoftX is a data acquisition software from Dewesoft that provides comprehensive test and measurement monitoring…
DataFi Analytics Dashboard
DataFi Analytics Dashboard is a data management platform from DataFi that provides a unified interface…
Databricks Data Intelligence Platform
Databricks Data Intelligence Platform is a data analytics software from Databricks that powers AI-driven analytics…
