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Coalesce Quality

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Software Status:Active

About Coalesce Quality

Coalesce Quality, formerly known as SYNQ, is a modern data quality & observability platform now integrated into the Coalesce data operating layer after Coalesce’s acquisition in 2026.

Coalesce Quality Details

Vendor
Coalesce
Year Launched
2022
Location
San Francisco, CA 94111, USA
Deployment
cloud, web browser
Training Options
documentation, demo
Countries Served
All Countries.
Languages
English
Users
Retail Store Managers, Inventory Managers, Sales Associates, Customer Service Representatives, IT Administrators., Data Engineers, Data Analysts, Machine Learning Engineers
Industries Served
Retail, Food and Beverage, Hospitality, Specialty Retail, Quick Service Restaurants, General Merchandise, Petroleum and Convenience Stores, Manufacturing, Advertising & Media
Tags
Integration, OneView Commerce, SynQ, Data Quality, Observability, Data Governance, Incident Management, Pipeline Monitoring

Coalesce Quality's In-App Market Place

Does Coalesce Quality have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), CAD (C$), AUD (A$), JPY (¥), CNY (¥), INR (₹), MXN (Mex$), BRL (R$), RUB (₽), ZAR (R), SGD (S$), HKD (HK$), CHF (Fr), SEK (kr), NZD (NZ$), KRW (₩), TRY (₺), TWD (NT$), THB (฿), NOK (kr), DKK (kr), PLN (zł), IDR (Rp), HUF (Ft), CZK (Kč), ILS (₪), CLP (CLP$), PHP (₱), AED (د.إ), COP (COL$), SAR (﷼), MYR (RM), VND (₫), NGN (₦), EGP (E£), PKR (₨), QAR (QR), KES (KSh), CRC (₡), ARS (AR$), KWD (د.ك), MAD (MAD), PEN (S/.), UAH (₴), RON (lei), UYU ($U), HRK (kn), BGN (лв), HUF (Ft), ISK (ISK), GTQ (Q), LKR (Rs), LBP (ل.ل), HNL (L), JOD (د.ا), BOB (Bs), DOP (RD$), LVL (Ls), SVC ($), UZS (сўм), XPF (₣), MUR (₨), CUP ($), KZT (₸), XCD (EC$), IDR (Rp), TTD (TT$), BSD (B$), JMD (J$).

Pros & Cons

  • Supports AI‑guided test recommendations reducing manual setup time.
  • Identifies root‑cause of data errors using lineage and execution metadata.
  • Automates incident management with clear ownership and resolution steps.
  • Scout agent proactively resolves issues, reducing engineering workload.
  • Provides unified view across catalog, quality and transformation contexts.
  • AI recommendations may need validation in complex pipelines.
  • Relies on cloud data platforms, limiting unsupported legacy systems.
  • Security configurations may be complex for strict compliance needs.
  • Unavailable offline or non‑cloud environments (SaaS focus).
  • Documentation specific to some advanced workflows is sparse.

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