CData Drivers for Elasticsearch streamline data integration by providing bi-directional connectivity to live Elasticsearch services. These drivers facilitate easy access to real-time Elasticsearch data from various BI, analytics, reporting, ETL, and custom applications. Offering comprehensive support for popular protocols like ODBC, JDBC, and ADO.NET, the drivers enable users to seamlessly connect to and manage Elasticsearch data from a wide range of tools and applications, enhancing flexibility and efficiency.
In BI and analytics, CData Drivers excel by delivering unmatched query performance, ensuring comprehensive access to Elasticsearch data and metadata. seamlessly integrates with favorite analytics tools, offering a robust solution for users seeking efficient connectivity and data utilization in BI and reporting scenarios. For ETL, replication, and warehousing needs, CData Drivers extend the capabilities of tools, providing reliable and secure data movement between Elasticsearch and various RDBMS or data warehouse platforms.
Developers benefit from the simplicity of integration provided by CData Drivers for Elasticsearch, allowing them to build high-quality applications swiftly. The drivers offer a data-centric model for Elasticsearch, making it easier for developers to work with Elasticsearch data from diverse development technologies. Additionally, CData Drivers support data virtualization, offering a virtual database abstraction on top of Elasticsearch data and supporting advanced features such as query federation through capabilities for query delegation and predicate pushdown.
This package includes the following components:
Bi-Directional Connectivity: Enable seamless integration with live Elasticsearch services from BI, analytics, reporting, ETL tools, and custom applications.
Versatile Integration: Easily access real-time Elasticsearch data from various locations, supporting BI, Analytics, Reporting, ETL, and custom applications.
BI & Data Visualization: Connect to Elasticsearch data effortlessly from any BI or reporting tool, ensuring efficient utilization of real-time data for analytics and visualization.
ETL & Replication: Simplify ETL and data replication processes to any RDBMS or Data Warehouse, enhancing data movement, reliability, and security.
Data Management: Work directly with Elasticsearch data using popular database management tools, supporting protocols like ODBC, JDBC, and ADO.NET.
Workflow & Automation Integration: Seamlessly integrate Elasticsearch into popular workflow and automation software, supporting tools like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, and Talend.
Developer Tools & Technologies: Facilitate easy integration with Elasticsearch from various development technologies, offering a data-centric model for streamlined application development.
Data Virtualization: Provide a virtual database abstraction on top of Elasticsearch data, supporting features like query federation through advanced capabilities for query delegation and predicate pushdown.
Comprehensive Support: Support a wide range of protocols, including ODBC, JDBC, and ADO.NET, ensuring straightforward connection and management of Elasticsearch data from diverse applications.
Query Performance: Deliver unmatched query performance in BI and analytics scenarios, ensuring efficient access to Elasticsearch data and metadata.
Security: Ensure secure connectivity and data movement, supporting a reliable and secure integration between Elasticsearch and RDBMS or data warehouse platforms.
Ease of Use: Simplify the integration process for developers, allowing them to build high-quality applications swiftly and efficiently.
Support for Popular Applications: Enable connectivity with popular data migration, ESB, iPaaS, and BPM tools, expanding integration possibilities with tools like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, and Talend.
