Wave Financial Drivers & Connectors
for Data Integration

Connect to live Wave Financial data from reporting tools, databases, and custom applications through standards-based drivers. Easily integrate Wave Financial data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.


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BI & Analytics



Our drivers offer the fastest and easiest way to connect real-time Wave Financial data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Wave Financial data and metadata, and seamlessly integrate with your favorite analytics tools.

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations



Alteryx Designer: Prepare, Blend, and Analyze Wave Financial in Alteryx Designer (ODBC) Amazon QuickSight: Build Interactive Dashboards from Wave Financial Data in Amazon QuickSight Aqua Data Studio: Connect to Wave Financial in Aqua Data Studio AWS Databricks: Process & Analyze Wave Financial Data in Databricks (AWS) Birst: Build Visualizations of Wave Financial in Birst BIRT: Design BIRT Reports on Wave Financial Clear Analytics: Build Charts with Wave Financial in Clear Analytics DBxtra: Build Dashboards with Wave Financial in DBxtra Domo: Create Datasets from Wave Financial in Domo Workbench Dundas BI: Build Dashboards with Wave Financial in Dundas BI Excel (on Mac OS): Work with Wave Financial Data in MS Excel on Mac OS X FineReport: Feed Wave Financial into FineReport IBM Cognos BI: Create Data Visualizations in Cognos BI with Wave Financial Infragistics Reveal: Analyze Wave Financial Data in Infragistics Reval JasperServer: Create Wave Financial Reports on JasperReports Server Jaspersoft BI Suite: Connect to Wave Financial in Jaspersoft Studio JReport Designer: Integrate with Wave Financial in JReport Designer Klipfolio: Create Wave Financial-Connected Visualizations in Klipfolio KNIME: Enable the Wave Financial JDBC Driver in KNIME LINQPad: Working with Wave Financial in LINQPad Microsoft SSAS: Build an OLAP Cube in SSAS from Wave Financial MicroStrategy: Connect to Live Wave Financial Data in MicroStrategy through Connect Server MicroStrategy: Use the CData JDBC Driver for Wave Financial in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Wave Financial in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Wave Financial in MicroStrategy Web OBIEE: Wave Financial Reporting in OBIEE with the Wave Financial JDBC Driver pandas: Use pandas to Visualize Wave Financial in Python Pentaho Report Designer: Integrate Wave Financial in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Wave Financial Power BI Service: Visualize Live Wave Financial Data in the Power BI Service Power Pivot: Access Wave Financial Data in Microsoft Power Pivot Power Query: Access Wave Financial Data in Microsoft Power Query QlikView: Connect to and Query Wave Financial in QlikView over ODBC R: Analyze Wave Financial in R (JDBC) R: Analyze Wave Financial in R (ODBC) RapidMiner: Connect to Wave Financial in RapidMiner Redash: Build Wave Financial-Connected Dashboards in Redash SAP Analytics Cloud: Analyze Wave Financial Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Wave Financial SAP Crystal Reports: Publish Reports with Wave Financial in Crystal Reports SAS: Use the CData ODBC Driver for Wave Financial in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for Wave Financial in SAS JMP Sisense: Visualize Live Wave Financial in Sisense Spago BI: Connect to Wave Financial in SpagoBI Tableau: Visualize Wave Financial in Tableau Desktop Tableau Cloud: Build Wave Financial Visualizations in Tableau Cloud Tableau Server: Publish Wave Financial-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize Wave Financial in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize Wave Financial Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on Wave Financial from Spotfire Server

ETL, Replication, & Warehousing



From drivers and adapters that extend your favorite ETL tools with Wave Financial connectivity to ETL/ELT tools for replication — our Wave Financial integration solutions provide robust, reliable, and secure data movement.

Connect your RDBMS or data warehouse with Wave Financial to facilitate operational reporting, offload queries and increase performance, support data governance initiatives, archive data for disaster recovery, and more.


Popular Data Warehousing Integrations



Amazon Redshift: Automated Continuous Wave Financial Replication to Amazon Redshift Amazon S3: Automated Continuous Wave Financial Replication to Amazon S3 Apache Airflow: Bridge Wave Financial Connectivity with Apache Airflow Apache Camel: Integrate with Wave Financial using Apache Camel Apache Cassandra: Automated Continuous Wave Financial Replication to Apache Cassandra Apache Kafka: Automated Continuous Wave Financial Replication to Apache Kafka Apache NiFi: Bridge Wave Financial Connectivity with Apache NiFi Apache NiFi Batch Operations: Perform Batch Operations with Wave Financial Data in Apache NiFi Azure Data Lake: Automated Continuous Wave Financial Replication to Azure Data Lake Azure Synapse: Automated Continuous Wave Financial Replication to Azure Synapse BIML: Use Biml to Build SSIS Tasks to Replicate Wave Financial to SQL Server CloverDX: Connect to Wave Financial in CloverDX (formerly CloverETL) Couchbase: Automated Continuous Wave Financial Replication to Couchbase CSV: Automated Continuous Wave Financial Replication to Local Delimited Files Databricks: Automated Continuous Wave Financial Replication to Databricks FoxPro: Work with Wave Financial in FoxPro Google AlloyDB: Automated Continuous Wave Financial Replication to Google AlloyDB Google BigQuery: Automated Continuous Wave Financial Replication to Google BigQuery Google Cloud SQL: Automated Continuous Wave Financial Replication to Google Cloud SQL Google Data Fusion: Build Wave Financial-Connected ETL Processes in Google Data Fusion Heroku / Salesforce Connect: Replicate Wave Financial for Use in Salesforce Connect HULFT Integrate: Connect to Wave Financial in HULFT Integrate IBM DB2: Automated Continuous Wave Financial Replication to IBM DB2 Informatica Cloud: Integrate Wave Financial in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for Wave Financial Jaspersoft ETL: Connect to Wave Financial in Jaspersoft Studio Microsoft Access: Automated Continuous Wave Financial Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous Wave Financial Replication to Azure SQL Microsoft Power Automate: Build Wave Financial-Connected Automated Tasks with Power Automate (Desktop) MongoDB: Automated Continuous Wave Financial Replication to MongoDB MySQL: Automated Continuous Wave Financial Replication to MySQL Oracle Data Integrator: ETL Wave Financial in Oracle Data Integrator Oracle Database: Automated Continuous Wave Financial Replication to Oracle petl: Extract, Transform, and Load Wave Financial in Python PostgreSQL: Automated Continuous Wave Financial Replication to PostgreSQL Replicate to MySQL: Replicate Wave Financial to MySQL with PowerShell SAP HANA: Automated Continuous Wave Financial Replication to SAP HANA SingleStore: Automated Continuous Wave Financial Replication to SingleStore SnapLogic: Integrate Wave Financial with External Services using SnapLogic Snowflake: Automated Continuous Wave Financial Replication to Snowflake SQL Server: Automated Continuous Wave Financial Replication to SQL Server SQL Server Linked Server: Connect to Wave Financial Data as a SQL Server Linked Server SQLite: Automated Continuous Wave Financial Replication to SQLite Talend: Connect to Wave Financial and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to Wave Financial in UiPath Studio Vertica: Automated Continuous Wave Financial Replication to a Vertica Database

Workflow & Automation Tools



Connect to Wave Financial from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to Wave Financial data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and many more.

Popular Workflow & Automation Tool Integrations



Developer Tools & Technologies



The easiest way to integrate with Wave Financial from anywhere. Our Wave Financial drivers offer a data-centric model for Wave Financial that dramatically simplifies integration — allowing developers to build higher quality applications, faster than ever before. Learn more about the benefits for developers:



Popular Developer Integrations



.NET Charts: DataBind Charts to Wave Financial .NET QueryBuilder: Rapidly Develop Wave Financial-Driven Apps with Active Query Builder Angular JS: Using AngularJS to Build Dynamic Web Pages with Wave Financial Apache Spark: Work with Wave Financial in Apache Spark Using SQL AppSheet: Create Wave Financial-Connected Business Apps in AppSheet C++Builder: DataBind Controls to Wave Financial Data in C++Builder ColdFusion: Query Wave Financial in ColdFusion Using JDBC ColdFusion: Query Wave Financial in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on Wave Financial Delphi: DataBind Controls to Wave Financial Data in Delphi DevExpress: DataBind Wave Financial to the DevExpress Data Grid EF - Code First: Access Wave Financial with Entity Framework 6 EF - LINQ: LINQ to Wave Financial EF - MVC: Build MVC Applications with Connectivity to Wave Financial Filemaker Pro: Bidirectional Access to Wave Financial from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to Wave Financial from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with Wave Financial on Linux Google Apps Script: Connect to Wave Financial Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with Wave Financial Entities in Java IntelliJ: Connect to Wave Financial in IntelliJ JBoss: Connect to Wave Financial from a Connection Pool in JBoss JDBI: Create a Data Access Object for Wave Financial using JDBI JRuby: Connect to Wave Financial in JRuby Microsoft Power Apps: Integrate Live Wave Financial Data into Custom Business Apps Built in Power Apps NodeJS: Query Wave Financial Data in Node.js (via Connect Server) NodeJS: Query Wave Financial through ODBC in Node.js PHP: Access Wave Financial in PHP through Connect Server PHP: Natively Connect to Wave Financial in PHP PowerBuilder: Connect to Wave Financial from PowerBuilder PowerShell: Pipe Wave Financial to CSV in PowerShell PyCharm: Using the CData ODBC Driver for Wave Financial in PyCharm Python: Connect to Wave Financial in Python on Linux/UNIX React: Build Dynamic React Apps with Wave Financial Data Ruby: Connect to Wave Financial in Ruby RunMyProcess: Connect to Wave Financial Data in RunMyProcess RunMyProcess DSEC: Connect to Wave Financial in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to Wave Financial in SAPUI5 MVC Apps Servoy: Build Wave Financial-Connected Apps in Servoy Spring Boot: Access Live Wave Financial Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access Wave Financial in Python Tomcat: Configure the CData JDBC Driver for Wave Financial in a Connection Pool in Tomcat Unqork: Create Wave Financial-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for Wave Financial WebLogic: Connect to Wave Financial from a Connection Pool in WebLogic


When Only the Best Wave Financial Drivers Will Do

See what customers have to say about our products and support.



Frequently Asked Wave Financial Driver Questions

Learn more about Wave Financial drivers & connectors for data and analytics integration


The Wave Financial driver acts like a bridge that facilitates communication between various applications and Wave Financial, allowing the application to read data as if it were a relational database. The Wave Financial driver abstracts the complexities of Wave Financial APIs, authentication methods, and data types, making it simple for any application to connect to Wave Financial data in real-time via standard SQL queries.

Working with a Wave Financial Driver is different than connecting with Wave Financial through other means. Wave Financial API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain Wave Financial integration code moving forward.

By comparison, our Wave Financial Drivers offer codeless access to live Wave Financial data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Wave Financial data from any client application. Because our drivers conform to standard data interfaces like ODBC, JDBC, ADO.NET etc. they offer a consistent, maintenance-free interface to Wave Financial data. We manage all of the complexities of Wave Financial integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with Wave Financial, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData Wave Financial driver offers full-featured Wave Financial data connectivity. The CData Wave Financial drivers support extensive Wave Financial integration, providing access to all of the Wave Financial data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all Wave Financial data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

With our drivers and connectors, every data source is essentially SQL-based. The CData Wave Financial driver contains a full SQL-92 compliant engine that translates standard SQL queries into Wave Financial API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Wave Financial as possible. Any logic that can not be pushed to Wave Financial is handled transparently client-side by the driver/connector engine. Ultimately, this means that Wave Financial looks and acts exactly like a database to any client application or tool. Users can integrate live Wave Financial connectivity with ANY software solution that can talk to a standard database.

The Wave Financial drivers and connectors offer comprehensive access to Wave Financial data. Our Wave Financial driver exposes static and dynamic data and metadata, providing universal access to Wave Financial data for any enterprise analytics or data mangement use. To explore the Wave Financial driver data model, please review the edition-specific Wave Financial driver documentation.

Using the CData Wave Financial drivers and connectors, Wave Financial can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live Wave Financial data connectivity. Explore some of the more popular Wave Financial data integrations online.

Wave Financial Analytics is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify Wave Financial data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

Wave Financial data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate Wave Financial data any database or data warehouse, and maintain parity between systems with automated incremental Wave Financial replication. In addition, our Wave Financial drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. CData offers native Excel Add-Ins for Wave Financial integration. These Add-Ins provide live access to Wave Financial data directly from Microsoft Excel.