MySQL

Use Flowgear's pre-built connector to integrate with MySQL

Product description

MySQL is an open source Relational Database Management System (RDBMS) that uses Structured Query Language (SQL).

Flowgear has Connectors for querying and updating data in MySQL tables.

Use the Flowgear platform to increase your productivity and profitability while delivering customer excellence!

Benefits of using this connector

  • Integrations quickly become a critical component in a business so stability is incredibly important.

    Third Party endpoints like MySQL are frequently updated, which if unmanaged, can result in downtime. Hand-coded integrations require frequent review or dependence on a third party integrator making it difficult to avoid breaking changes.

    The Flowgear MySQL is a robust wrapper around the underlying API or database and new versions of this Connector are shipped as the vendor releases updates. This approach minimizes overhead and ensures integrations remain functional across vendor product updates.
  • Avoid complex API documentation, deliver solutions in 25% of the time compared to hand code.

    Each Flowgear connector includes a set of Samples.

    These samples visually surface all the features, objects and fields made available by the MySQL API, including any customized objects.

    Example: "Create Contact" quickly filter through 3500 Salesforce Objects.

    See Video – Salesforce Samples
  • Avoid down-time or disruption caused by brittle hand coded solutions or plug-ins
  • Connectors and workflows are frequently updated and maintained
  • Speed of deployment – 75% faster than hand coding
  • All your current and future integrations are built and maintained on one platform
  • Achieve a conservative cost reduction of between 40% - 60% as compared with a hand coded equivalent
  • Empowers non-technical team members to understand and contribute to the process
  • Let Flowgear handle automation so you can focus on growing your business
  • Improve security, reliability and control the process end-end
  • Automate acquisition of data from any app, service, file, or database
  • Code-free, visual mapping of data
  • No FTP or file -based intermediaries
  • Data is encrypted in transit and at rest
  • Integrate with both on-premises and cloud-based systems (or a hybrid thereof)
  • Secure, API-led platform, 100% compliant with GDPR and other data privacy laws
  • Execute bulk inserts or updates without using hand-written INSERT or UPDATE statements
  • Essential for any data mining, data analytics or big data solution in order to discover patterns in large data sets
  • MySQL Connectors can be run in-cloud, or on-premise using a Flowgear DropPoint, without additional drivers

Complimentary Proof of Concept

Not sure how the MySQL integration would work on your own systems? Test before you buy!

See the MySQL integration in action with our complimentary proof of concept. Register for our free trial and the Flowgear integration experts will build a free proof of concept workflow based on your own integration requirements. No credit card needed and no obligation! We're happy to demonstrate how Flowgear's enterprise-grade integration platform can be applied to your organization and how a single workflow can boost your productivity and profitability.

Yes, I want my free proof of concept

Frequently used with

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Popular examples and use cases

  • Run SQL queries against a MySQL database & return the result in an XML document
  • Execute bulk inserts or updates on a database

How to videos

Enterprise API to ConnectWise Manage

Use Case: Capture real-time data from external sources to log service tickets in ConnectWise Manage using Flowgear’s Enterprise API.

Shared workflow examples

Help articles

  • MySQL Query

    Executes SQL Queries against a MySQL database and returns the results as an XML Document. Can be run In-Cloud and requires no additional drivers
  • MySQL Table Update

    Provides an efficient way for executing bulk insert/update on a database without having to hand-write INSERT or UPDATE statements