About Azquo
Azquo is a data management platform that provides a shared, auditable data store accessible through spreadsheets.
Azquo is a data management platform designed to centralize and audit data that typically resides in disparate spreadsheets. Its core concept is a schema-free data store that organizes information using names and hierarchies, rather than rigid tables, allowing for flexible data integration from various sources. A key feature is its complete audit trail, where every value is traceable to its source, user, and timestamp. The platform integrates directly with Microsoft Excel, enabling two-way data flow so business users can continue working in a familiar environment. Azquo is also built to be compatible with AI agents for advanced data querying and analysis. The product is aimed at businesses in regulated industries or those needing defensible, accumulating data for forecasting, pricing, and reporting. Pricing is not publicly available and requires contacting the vendor for a demo. Support is available via email and phone.
Pros & Cons
- Allows users to work within the familiar Microsoft Excel interface.
- Provides a complete, built-in audit trail for every piece of data.
- Its schema-free design allows for flexible data loading and reorganization without IT intervention.
- Designed to be queried by AI agents, compounding knowledge from interactions.
- Data is organized by business concepts (names) in hierarchies, which is more intuitive than relational tables.
- Pricing information is not publicly available and requires a sales inquiry.
- The unique data model may have a learning curve for users accustomed to traditional relational databases.
- As a specialized tool, it may not be suitable for petabyte-scale raw analytical scans, for which a data warehouse is still recommended.
Features
Key features
Load data from various sources without needing to define a structure beforehand, organizing data by names and hierarchies instead of rigid tables.
Every value carries a complete provenance record, tracking who entered it, when, and from what source, ensuring data is always defensible.
Pull data into Excel for analysis and write values back to the central database, allowing users to work in a familiar spreadsheet environment.
The name/hierarchy data model is designed to be understood by AI agents, enabling them to query the database and compound knowledge over time.
Reports are standard Excel workbooks that reference Azquo names, automatically updating when underlying data changes without template edits.
Additional features
Organize data concepts like products, customers, and time periods into multiple hierarchies simultaneously for flexible analysis.
Numeric values are anchored to a set of names (their context) rather than fixed cells or rows, making the data structure resilient to change.
Accepts data from CSV or Excel files dropped directly into the system, which are then integrated into the central data store.
Integrate external data feeds (e.g., market data, weather) by attaching them to existing business hierarchies.
Access controls are based on the provenance of data, allowing for granular permissions on who can see or edit specific information.
Pricing
Countries & Languages
Interface languages
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About Azquo
Azquo is a data management platform that provides a shared, auditable data store accessible through spreadsheets.
Azquo Details
Azquo's In-App Market Place
Does Azquo have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
Pros & Cons
- Allows users to work within the familiar Microsoft Excel interface.
- Provides a complete, built-in audit trail for every piece of data.
- Its schema-free design allows for flexible data loading and reorganization without IT intervention.
- Designed to be queried by AI agents, compounding knowledge from interactions.
- Data is organized by business concepts (names) in hierarchies, which is more intuitive than relational tables.
- Pricing information is not publicly available and requires a sales inquiry.
- The unique data model may have a learning curve for users accustomed to traditional relational databases.
- As a specialized tool, it may not be suitable for petabyte-scale raw analytical scans, for which a data warehouse is still recommended.
Azquo's Support Options
Email Address
info@azquo.comContact
0203 424 5023Azquo's Alternatives
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