STEP 1
Connect JSON and Microsoft SQL Server
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
JSON and Microsoft SQL Server Integration
Combine the built-in JSON node with Microsoft SQL Server on the WEXTL® visual workflow builder. Drop JSON anywhere in your Microsoft SQL Server automation to run its logic between steps — the two live side by side on the same canvas, so you build the whole flow visually without a single line of code.
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Learn about JSON and Microsoft SQL Server
Detailed info you need to know about JSON and Microsoft SQL Server integrations in WEXTL. Explore which modules apps support and how you connect them.
JSON
Read, build, and reshape JSON data. Parse text into workable items, assemble new JSON from your fields, combine results into one list, and convert to or from XML. [5]
Microsoft SQL Server
Read and change rows in a Microsoft SQL Server or Azure SQL database, run your own query, and start a workflow when new rows appear. Works with SQL Server 2016 or newer, Azure SQL Database, and Amazon RDS for SQL Server. [6]
How to connect JSON to Microsoft SQL Server
Set up your JSON and Microsoft SQL Server integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected JSON and Microsoft SQL Server nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between JSON and Microsoft SQL Server. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between JSON and Microsoft SQL Server work in WEXTL?
WEXTL exposes actions and triggers for JSON and Microsoft SQL Server that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
Microsoft SQL Server (built-in)JSON (built-in)
Microsoft SQL Server modules
- Delete rowsDelete the rows that match your conditions.M
- Execute a queryRun your own T-SQL, with values passed as parameters.M
- Insert a rowAdd a row to a table and get its new identity value back.M
- Select rowsRead rows from a table with simple conditions, a sort and a limit.M
- Update rowsChange the rows that match your conditions.M
- Watch rowsStart a workflow when new or changed rows appear in a table. Checks on your workflow schedule.M
JSON modules
- Aggregate to JSONCombine the results of a repeated step into a single JSON list.J
- Convert to JSONTurn a set of key/value pairs into a simple JSON output.J
- Create JSONBuild a JSON document from your mapped fields, with optional pretty formatting.J
- JSON to XMLConvert JSON data into an XML document, with control over element naming and formatting.J
- Parse JSONTurn JSON text into structured data, handing each list item to the next step on its own.J
- XML to JSONConvert an XML document into JSON data you can use in later steps.J
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with JSON and Microsoft SQL Server integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting JSON and Microsoft SQL Server.
Connect your JSON and Microsoft SQL Server accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when Microsoft SQL Server's "Watch rows" fires, WEXTL can "Aggregate to JSON" in JSON. JSON has 6 actions (including Aggregate to JSON, Convert to JSON, and Create JSON); Microsoft SQL Server has 5 actions (including Delete rows, Execute a query, and Insert a row). Add filters and transforms between steps when you need them. [1]
Yes — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. JSON-to-Microsoft SQL Server automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment JSON (or Microsoft SQL Server) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your JSON + Microsoft SQL Server automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the JSON and Microsoft SQL Server integration.
- JSON and Microsoft SQL Server integration source code, module specs and credentials implementation.
- Our JSON and Microsoft SQL Server integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for JSON and Microsoft SQL Server — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® visual workflow builder, anonymized data from our technical support team.
- JSON integration information
- Microsoft SQL Server integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library