Scalable Standards Based Architecture that Grows with Your Organization

Scalability is a central design tenet – AQUARIUS can be deployed on a non-server-based Windows operating systems with a simple SQL Server Express database or on Windows Server Clusters with hot offsite disaster failover underpinned by an Oracle Enterprise cluster on Linux, UNIX, or Solaris
Based on World Wide Web Consortium (W3C) standards such as XML and XOP
Supported scripting languages (C# and VB.NET) are standard .NET languages eliminating the need to learn proprietary languages
All external interfaces to the system are easily accessed via SOAP and REST web services, and database reporting access is via standard SQL
Database schema in English with VerboseCamalCapitalized table and field names.

Centralized and Optimized Database Storage

Store all your data in a single central database optimized to handle the high traffic demands of continuous monitoring programs – time series can be appended and queried thousands of times faster than from conventional relational database storage
Concurrency and data version control ensures that users working on data are on the current version and cannot overwrite each other’s changes, including users who may have taken data into the field and who sync updates back to the AQUARIUS Server at a later date
Centralized data storage allows for a redundant performance or hot failover backup cluster, which means stronger data security.
Data is stored in either an Oracle (10g or 11g) or MS SQL Server (2008 R2 or 2008 Express) database. The database table schema is straightforward and is designed with an emphasis on readability – all table and field names use verbose CamelCapitalization names in English to help database administrators quickly learn the AQUARIUS Server database system
Future access to datasets using basic standard structured query language (SQL) is easy – table value (SQL Server) or pipeline (Oracle) functions are available to allow any data consumer to simply query for a dataset in relational format.

Centralized and Optimized Database Storage