iasDB is an advanced database management system optimized for handling big data and ERP processes. It also supports handling of object oriented data. An enhanced version of well known, proven and widely used database engine PostgreSQL is utilized at the core of iasDB. In addition to all the features of PostgreSQL, iasDB provides many more advanced features for Canias and the other applications.
It provides businesses with the resources and expertise to safely deploy large-scale and highly available enterprise information systems. iasDB is available for customers and includes special features that focus on performance and operational reliability. iasDB database is highly efficient and fully compatible with all Canias products.
The iasDB, which is fully adapted to future developments of Canias in the fields of Artificial Intelligence and Big Data, has an architecture that will support the development of Canias technology in line with the latest developments in the ERP world.
iasDB runs on all major operating systems such as Linux, UNIX (AIX, BSD, HP-UX, SGI IRIX, Mac OS X, Solaris, Tru64), and Windows etc.
iasDB supports JSON, geospatial, XML, key-value, or most other structured, semi-structured, or unstructured data such as text, images, sounds, and videos.
The following features help speed up scans even when aggregating many rows, on searching text containing locale specific characters.
iasDB prevents data corruption and preserves the integrity of data at the transactional level.
Our iasDB is an object- oriented management system and compatible with ANSI-SQL 2008 and supports also a large part of the SQL standard
iasDB supports four standard procedural languages, which allows the users to write their own code in any of the languages and it can be executed by IASDB database server.
For most applications, data is a critical commodity. Storing data in one place is a risky proposition, so you need to have a strategy and a plan in place to ensure that you can recover from a failure as quickly as possible.
iasDB, offers various ways to archive and replicate the primary database for backup, high- availability, and load balancing scenarios.
With Big Data, IoT and ERP can be easily linked
Big Data offers a wide range of integration options for processes.
With the right tools, data can be measured and analyzed.
Processes can be simplified through appropriate automation.