QueryObject System Version 3.20 Now Available; Delivers Enhanced Security, Ease of Use, and Openness for Internet Data Analysis.

Business/Technology Editors

ROSLYN HEIGHTS, N.Y.--(BUSINESS WIRE)--May 22, 2001

QueryObject Systems(R) Corporation (AMEX: OBJ), a leader in analytical infrastructures for the Information Economy, today announced the general availability of Version 3.20 of its scaleable Internet data mart technology, the QueryObject System(R) (QOS). QOS is the leading solution for providing high speed, highly scaleable access to multi-dimensional business data over the Internet.

In addition to overall enhancements to the speed, scope and scale of system performance, V3.20 further refines the process for building and maintaining QueryObject analytical environments with new java-based prototyping and design "wizards." V3.20 also increases data security with augmented security capabilities down to the category level, allowing administrators to control access to specific data records by specific users, and supports analysis of the resulting QueryObject data marts via any analytical "front-end" - such as Cognos PowerPlay, BusinessObjects or Brio - which uses the ODBO (OLE/DB for OLAP) industry data access standard.

"We had three key goals for this release, ease of use, security and openness - all based on enhancement requests from customers," said QueryObject Chairman and CEO Robert Thompson. "With this latest version, QueryObject data marts are even faster for users to prototype, build and deploy, while containing much higher levels of data security."

"The new ODBO interface means that QueryObject's can now support simultaneous use by a whole variety of popular Business Intelligence tools using either the traditional relational query style via ODBC or JDBC, or full multi-dimensional analysis via OLE/DB for OLAP," Thompson added. "With this release we continue to enhance QueryObject's position of analytical data mart of choice for highly scaleable Internet applications."

Overview of V3.20's capabilities:

V3.20 offers a number of key upgrades over previous versions of

the QueryObject System:

Security Features

V3.20 provides granular level security. The QueryObject

Administrator can now grant user access rights based on a data

dimension, or based on a unique category or unique value within a

dimension.

Usability Features

QueryObject Engine Control Panel: V3.20 provides Administrators

with the ability to build QueryObjects remotely by logging into

the QueryObject Engine from another workstation or from a laptop

computer while traveling.

Range Wizard: With the new Range Wizard, the Administrator can

automatically generate ranges by specifying the method to be used

and the number of ranges to be generated.

SQL Wizard: V3.20 includes a new SQL Wizard to simplify the

process of selecting data from single or multiple table relational

databases.

Direct QueryObject Merge: QueryObject Build and QueryObject Merge

can be used together to allow data to be incrementally added to a

QueryObject. This facilitates the building of "rolling"

environments that can add updated data and simultaneously drop

outdated data.

New Metric Types: V3.20 now supports minimum, maximum and average

as metric types.

Custom Calculations: QueryObject Administrators now have the

ability to encapsulate their own business rules within a

QueryObject to create custom calculations at the record level.

Open System Features

ODBO Access: V3.20 adds ODBO access to the existing ODBC, JDBC and

OLE/DB interfaces. This means that QueryObject data marts can now

work with the complete range of Web-based and client server BI

tools supporting either relational style queries or OLAP style

analysis from within the same data mart.

Oracle8 Support: V3.20 adds support for Oracle 8 and 8i databases

to the list of 22 other data sources that are supported through

native drivers.

QueryObject Analyzer:

This latest version of QueryObject's default data browser adds

important new functionality such as the ability for users to

analyze multiple dimensions on a single axis, apply multiple level

filters and perform their own calculations.

About the QueryObject System(R)

The QueryObject System (QOS) enables data intensive organizations such as telecommunications, financial services, retail and e-businesses, to achieve a competitive advantage by rapidly analyzing large amounts of critical business data over the Internet.

QOS is the first true data structure for the Information Economy, employing extremely efficient, highly distributable multidimensional data sets to:

-- Shatter the speed limitations of current business intelligence (BI) tools

-- Enhance the scope of analytical applications

-- Redefine the scale of traditional data marts

This can be achieved while enhancing the efficiency of existing BI infrastructure and maintaining data security and privacy.

About QueryObject Systems Corporation

A publicly held company headquartered in Roslyn Heights, NY, QueryObject Systems Corporation (AMEX: OBJ) is dedicated to building the infrastructure for the Information Economy. Its scaleable, Web-based analytical technologies are available worldwide through a network of authorized distributors.

For more information about QueryObject Systems Corporation and its technologies, visit the company's Web-site at http://www.queryobject.com.

QueryObject System is a registered trademark and QueryObject, QueryObject Analyzer, internetQueryObject, iQO, QueryObjectexchange and QOxchange are trademarks of QueryObject Systems Corporation. All other trademarks and registered trademarks referenced in this document are the property of their respective holders.

This press release contains certain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are intended to be covered by the safe harbors created hereby. Investors are cautioned that all forward-looking statements involve risks and uncertainty, including without limitation, the Company's development as a software products company, and the ability of certain partnerships to aid in that growth; the capability of the company's products to perform as optimized analytical data marts; and the ability of the company's products to support the performance of other business intelligence tools. Although the Company believes that the assumptions underlying the forward-looking statements contained herein are reasonable, any of the assumptions could be inaccurate, and therefore, there can be no assurance that the forward-looking statements included in this press release will prove to be accurate. In light of the significant uncertainties inherent in the forward-looking statements included herein, the inclusion of such information should not be regarded as a representation by the Company or any other person that the objectives and plans of the Company will be achieved.