Microsoft Data Quality Services
Data quality tools
Data center management software
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$15,123 per 2-core pack
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What is Microsoft Data Quality Services
Microsoft Data Quality Services (DQS) is a data quality and matching component for Microsoft SQL Server that supports profiling, cleansing, standardization, and de-duplication of structured data. It is typically used by data stewards and database/BI teams to improve the quality of reference and master data used in reporting and downstream applications. DQS centers on building knowledge bases and applying rules to validate and correct data, with integration options through SQL Server Integration Services (SSIS). It is primarily deployed in Microsoft-centric, on-premises SQL Server environments.
Native SQL Server integration
DQS is built into the SQL Server ecosystem and works closely with SQL Server databases and SSIS for batch cleansing and matching workflows. This reduces the need for separate connectors and runtime infrastructure in Microsoft-centric environments. Teams that already operate SQL Server can align DQS operations with existing database administration, security, and deployment practices.
Rule-based knowledge bases
DQS uses knowledge bases to store domains, rules, and reference data that drive validation, standardization, and correction. Data stewards can curate these rules over time to reflect organizational standards (for example, allowed values, formats, and synonyms). This approach supports repeatable, auditable cleansing behavior across multiple datasets.
Built-in matching and de-duplication
DQS includes matching policies to identify duplicates and near-duplicates using configurable similarity and survivorship-style decisions. It supports common use cases such as consolidating customer, vendor, or product records prior to analytics or migration. For organizations that need core de-duplication within SQL Server tooling, it can reduce reliance on separate data-quality platforms.
Primarily on-prem SQL Server
DQS is tied to SQL Server deployments and is not designed as a cloud-native, multi-tenant data quality service. Organizations standardizing on cloud data platforms may find the operational model and integration patterns less aligned with modern ELT pipelines. This can increase complexity when data quality needs to run across multiple cloud applications and warehouses.
Limited application data operations
Compared with dedicated data operations hubs, DQS focuses on cleansing and matching rather than orchestrating bi-directional synchronization across many SaaS systems. It does not function as a broad operational data layer for CRM/marketing/customer success tools. Teams needing cross-application identity resolution and continuous sync may require additional tooling.
Product lifecycle constraints
DQS is a legacy SQL Server feature set and its roadmap and investment level can be more constrained than newer Microsoft data services. Some organizations report a preference for newer platform services for governance and data quality patterns. This can create long-term planning risk if an organization expects rapid feature evolution or cloud-first capabilities.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Enterprise | $15,123 (open no-level price) per 2-core pack | Includes Data Quality Services (DQS) — DQS is supported in Enterprise edition. Evaluation deployment available (180-day eval). For production use, Enterprise is required for DQS. |
| Standard (per 2-core pack) | $3,945 (open no-level price) per 2-core pack | Standard edition listed on SQL Server pricing page; however DQS is not listed as supported in Standard (see notes). |
| Standard (Server) | $989 (open no-level price) per server | Server + CAL licensing option for Standard. |
| Standard (CAL) | $230 per CAL (open no-level price) | Client Access License option for Standard. |
| Developer | Free | Developer edition includes DQS (supported) and is available as a free download but is intended for development/testing, not production. |
| Express | Free | Express edition is free but does NOT include DQS (per feature support matrix). |
Notes: DQS is a feature of Microsoft SQL Server (installed as part of SQL Server). DQS is removed in SQL Server 2025 and is supported in SQL Server 2022 and earlier. Prices above are the SQL Server 2022 "open no-level" list prices as shown on Microsoft's official pricing page. Evaluation (trial) availability: Enterprise edition offers an evaluation deployment (180 days) per Microsoft documentation.
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Microsoft Corporation
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1975
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