Available Now: The Definitive Guide to Building Data Products
Enhance your SQLMesh deployment with the only integrated reliability solution designed for large-scale, business-critical workflows. SYNQ ensures seamless SQLMesh performance, with full deployment in just 30 minutes.
SYNQ delivers an end-to-end data quality workflow, enabling you to build scalable, reliable data products on top of SQLMesh.
Enable a cross-team ownership model by assigning data responsibilities across teams and domains. Utilize your SQLMesh metadata to route alerts, deploy monitors, and define data products.
SYNQ data products leverage exposures and groups to clarify issue prioritization at scale.
Gain insight into data flow, not just between tables and models, but also across domains and teams.
Efficiently route alerts to relevant teams across data, engineering, and business operations.
SYNQ streamlines your incident workflow—covering everything from issue detection and impact assessment to resolution and post-incident analysis.
SYNQ’s bi-directional integration with essential tools like PagerDuty, OpsGenie, Jira, and Linear ensures real-time feedback loops and streamlined collaboration, allowing teams to address issues proactively and maintain continuous data reliability.
Avoid wading through logs from multiple tools and debug issues in a single view.
Uncover upstream failures through incident lineage, displaying all data assets involved in an outage.
Understand which data products, teams and specific data assets are impacted to assess severity of potential incidents.
Merge lineage and code into a single workflow and debug issues across hundreds of lines of SQL code with ease. Historically, this is an experience only software engineers have enjoyed. But that’s all changing.
orders AS (
SELECT
order_id,
customer_id,
order_date
FROM orders
),
order_items AS (
SELECT
order_id,
product_id,
quantity,
unit_price
FROM order_items
),
order_items_total AS (
SELECT
order_id,
SUM(quantity * unit_price) AS total
FROM order_items
GROUP BY order_id
),
SELECT
customer_id,
SUM(total) AS value,
NTILE(4) OVER (ORDER BY value) AS value_quartile
FROM orders
JOIN order_items_total USING (order_id)
GROUP BY customer_id...
SELECT
order_id,
customer_id,
order_date
FROM fivetran.orders
...
SELECT
order_id,
product_id,
quantity,
unit_price
FROM fivetran.order_items
Synq lineage understands how data flows through layers of CTEs and subqueries and where in code the logic exactly is, accelerating planning, refactoring and debugging workflows.