The Btrieve driver is a very powerful tool that allows all its users to connect with the databases that are Btrieve based directly from any place and any application which supports the connectivity of the ODBC. The access Btrieve databases virtually from anywhere through a standard ODBC interface driver. It is very easy to use the wire protocol passengers for the process of obtaining pervasive or the Btrieve databases. The user can connect to the pervasive SQL information system from anywhere that he desires. It has quick access and has life pervasive SQL information from the Analytics, reporting, ETL, custom apps, and last but not least the BI.
BI & Analytics
In the BI and Analytics, our drivers will offer you the fastest and the easiest way in which you can connect to the real-time Btrieve with the help of the BI, Analytics add later reporting and data visualization technology. They're able to provide the users an unmatched query performance that has comprehensive access to the Btrieve data as well as metadata seamlessly it can integrate with the favorite analytics tools of the users. The collectors that we provide will extend the favorite application of the user and provide live access to any data with established standards such as ODBC and the JDBC. They're able to deliver comprehensive access to the users and deliver access to the breadth, depth, and performance which is light years ahead. It can be easily integrated with the reporting tools and the BI, just like Microsoft power, Tableau, Qlik, Sisense, and many more. It can connect to all the applications of the BI and has access to more than 200 Enterprise data sources.
ETL, Replication, & Warehousing
The full form of ETL is an extract, transform, and load. It is a general process for copying data from one source into a destination system that will represent the data differently in a different context. The process of the extract transform and load became a very popular concept in the year 1970 and it is also used in the data warehousing process. The process of data extraction involves extracting the data from the data that are homogeneous and heterogeneous. An ETL system that is properly designed can extract data from the source system and can be used together and later delivered data in a presentation-ready format for the developers to create the application and the end-user to make decisions. This system commonly integrates data from different applications or systems. The integration options that we provide are Btrieve deliver and are very powerful data movement.
The process of data management is the practice of collecting, keeping, and securely using the data, efficiently, and cost-effectively. The main purpose and goal of data management are to help people, the organization, and the connected things to optimize the use of data within certain bounds of regulations and norms. A data management strategy that is robust is very important than ever in any organization which is increasingly relying on intangible assets to create value. The formal data management strategy can address the activity of every user as well as administrator along with their capabilities of managing data technology, and then demanding of the regulatory requirements and the need for an organization to obtain every value from its data.
Workflow & Automation Tools
It is the easiest way in which the user can incorporate with the Btrieve from anywhere in wishes to. The user can connect from the tools of the BPM and the information migration along with the ESB and the iPaaS.
Developer Tools & Technologies
In this case, the user can develop and build quality software that has higher quality than what it was earlier.
Data virtualization is basically and logical data layer which can integrate all the Enterprise data siloed across different systems, and it manages the unified data for security and governance, and it can deliver all these to business users in real-time. It provides a virtual approach for the process of accessing, managing as well as developing, and later delivering data without the need for replicating it in a physical repository. This can integrate data regardless of the format, location, or the latency of it. It can provide the centralized secure layer to discover, search, and govern the unified data along with its relationships. It can deliver integrated information on the applications which are used by business users.