The Big Commerce allows the user to connect as well as dwell Big Commerce information from the programs that are reporting. The databases, Castor programs, and standard-based drivers. It allows the users to connect from anywhere he wishes to the Big Commerce Data and the access is vital information which is a Big Commerce from the apps of custom, BI, and Analytics ETL. The Big Commerce driver of JDBC allows the users to connect with the Big Commerce data which is live directly from any application which can support the connectivity of the JDBC. It rapidly creates and deploys the powerful Java application that can integrate with the software of Big Commerce Ecommerce. The specifications that it holds are that it has pure Java type 4/5 JDBC driver which has bi-directional access, the user can write SQL and get the Big Commerce Data, and can access Big Commerce by the standard of Java database connectivity. It is a cordless integration and has popular B, ETL tools, and reporting. It supports full Unicode for data, metadata as well as parameters. It also has support for or 32bit and 64 bit systems of operation. The features that the Big Commerce data holds are that the SQL has access to Big Commerce API V2 and the API V3. It has a powerful metadata query that enables the SQL like access to all the non-database sources, it can connect to the live data of Big Commerce for access in real-time, it provides the users secure connectivity with the help of the modern cryptography that includes the TLS1.2, SHA-256, ECC and few more.
BI & Analytics
The data connectivity tools that belong to us support the new area of Analytics as well as cognitive computing. It is demanded by the modern user that the applications retrieve and process massive data sets faster once inconceivable and the drivers have been specifically engineered as well as optimized for the process of data-intensive reporting as well as analyzing. They provide an unmatched query performance for all the users and provide comprehensive access to Big Commerce the metadata and data. It is also able to seamlessly integrate with the favorite Analytics tools of the user.
ETL, Replication, & Warehousing
In the section of ETL, reporting and warehousing the driver's and additives that you provide to the users are able to extend the favorite tools of the ETL the connectivity of the Big Commerce to the tools for replication in the ETL and the ELT. The Big Commerce integration that belongs to us provide solutions to the users in a robust, reliable, and movement of the temperatures very secured. The user and now connect to the RDBMS or the data warehouse with the use of the Big Commerce to facilitate the reporting operation, increase the performance, offload the queries, govern the data, and lastly archive data for the process of disaster recovery.
Data management is possible with the support of the popular database protocols such as ODBC, JDBC, and the ADO.NET it is very easy to connect as well as manage the data of the Big Commerce win within a wide range of database management and application. The process can happen by encouraging popular database protocols. Some of the most popular database management tools are DB Artisan, Apache Solr, MySQL Workbench, RazorSQL, SQuirrel, DB Artisan, DBeaver, and so on.
Workflow & Automation Tools
The user can connect to the Big Commerce data from the tools of the BPM, ESB, iPaaS, and data migration.
Developer Tools & Technologies
Big Commerce can be integrated with the simplest and easiest way from any place by the user. The driver's that we offer the user are of a version for the Big Commerce that makes the integration simplified and the user can find more advantageous for the program in the pragmatic integration of the API and the data API which is mainly a gateway to the operations which are data-driven and digital transformation.
In the process of data virtualization, our drivers will provide the users a database abstraction along with information in the Big Commerce that will encourage information virtualization attributes just like the federation through the push-down of the capabilities.