Best Data Lineage Tools for SQL Server
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Compare the Top Data Lineage Tools that integrate with SQL Server as of July 2025
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This a list of Data Lineage tools that integrate with SQL Server. Use the filters on the left to add additional filters for products that have integrations with SQL Server. View the products that work with SQL Server in the table below.
What are Data Lineage Tools for SQL Server?
Data lineage tools are software solutions designed to track and visualize the flow of data through various stages of its lifecycle, from origin to destination. These tools help organizations understand the data's journey, transformations, and dependencies across different systems and processes. They offer features such as data mapping, impact analysis, and auditing to ensure data accuracy, compliance, and governance. By providing detailed insights into data movement and transformations, data lineage tools enable better decision-making, troubleshooting, and optimization of data workflows. They are essential for maintaining data integrity and transparency in complex data environments. Compare and read user reviews of the best Data Lineage tools for SQL Server currently available using the table below. This list is updated regularly.
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1
AnalyticsCreator
AnalyticsCreator
Enhance data governance with comprehensive lineage tracking capabilities, offering clear visibility into the origin and transformations of your data. This improved transparency ensures compliance with auditable lineage trails and facilitates faster root cause analysis for data quality issues. Quickly identify and resolve data quality problems with actionable insights. With AnalyticsCreator, improve transparency, compliance, and data trust by providing a detailed lineage trail for your entire data ecosystem. Empower teams to perform impact analysis and make informed decisions faster with a visual overview of data dependencies and flow. -
2
Sifflet
Sifflet
Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset. -
3
Datameer
Datameer
Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. Speed up your analytics workflow by transforming datasets to answer ad-hoc questions and support operational dashboards. Empower everyone on your team with our SQL or Drag-and-Drop to transform your data in an intuitive and collaborative workspace. And best of all, everything happens in Snowflake. Datameer is designed and optimized for Snowflake to reduce data movement and increase platform adoption. Some of the problems Datameer solves: - Analytics is not accessible - Drowning in backlog - Long development -
4
Immuta
Immuta
Immuta is the market leader in secure Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, securing, and monitoring data. Data-driven organizations around the world trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA. Immuta is the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. The company's hyperscale data management platform provides data scientists with rapid, personalized data access to dramatically improve the creation, deployment and auditability of machine learning and AI. -
5
Dataedo
Dataedo
Discover, document and manage your metadata. Dataedo is equipped with multiple automated metadata scanners that connect to various database technologies, extract data structures and metadata, and load them into the metadata repository. With a few clicks, build a catalog of your data and describe each element. Decrypt table and column names with business-friendly aliases, provide meaning and purpose of data assets with descriptions and user-defined custom fields. Use sample data to learn what data is stored in your data assets. Understand the data better before using it and make sure that the data is good quality. Ensure high data quality with data profiling. Democratize access to knowledge about data. Build data literacy, democratize data and empower everyone in your organization to make better use of your data with a lightweight on-premises data catalog. Boost data literacy through a data catalog.Starting Price: $49 per month -
6
Secoda
Secoda
With Secoda AI on top of your metadata, you can now get contextual search results from across your tables, columns, dashboards, metrics, and queries. Secoda AI can also help you generate documentation and queries from your metadata, saving your team hundreds of hours of mundane work and redundant data requests. Easily search across all columns, tables, dashboards, events, and metrics. AI-powered search lets you ask any question to your data and get a contextual answer, fast. Get answers to questions. Integrate data discovery into your workflow without disrupting it with our API. Perform bulk updates, tag PII data, manage tech debt, build custom integrations, identify the least used resources, and more. Eliminate manual error and have total trust in your knowledge repository.Starting Price: $50 per user per month -
7
Weld
Weld
Create, edit and organize your data models. No need to get yet another data tool for your data models. Create and manage them in Weld. Packed with features that will make creating your data models a breeze: smart autocomplete, code folding, error highlighting, audit logs, version control and collaboration. Plus, we use the same text editor as VS Code – it's fast, powerful and easy on the eye. Your queries are organized in an easily searchable and accessible library. Audit logs also let you see when the query was last updated, and by who. Weld Model supports materializing models as tables, incremental tables, views, or a custom materialization of your design. Run all your data operations in one simple platform – with help from a dedicated team of data analysts.Starting Price: €750 per month -
8
Ataccama ONE
Ataccama
Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data. -
9
Metaplane
Metaplane
Monitor your entire warehouse in 30 minutes. Identify downstream impact with automated warehouse-to-BI lineage. Trust takes seconds to lose and months to regain. Gain peace of mind with observability built for the modern data era. Code-based tests take hours to write and maintain, so it's hard to achieve the coverage you need. In Metaplane, you can add hundreds of tests within minutes. We support foundational tests (e.g. row counts, freshness, and schema drift), more complex tests (distribution drift, nullness shifts, enum changes), custom SQL, and everything in between. Manual thresholds take a long time to set and quickly go stale as your data changes. Our anomaly detection models learn from historical metadata to automatically detect outliers. Monitor what matters, all while accounting for seasonality, trends, and feedback from your team to minimize alert fatigue. Of course, you can override with manual thresholds, too.Starting Price: $825 per month -
10
Blindata
Blindata
Blindata covers all the functions of a Data Governance program: Business Glossary, Data Catalog & Data Lineage build an integrated and complete view on your Data. Data Classification module gives a semantic meaning to the data while the Data Quality, Issue Management & Data Stewardship modules improve the reliability and trust on data. Moreover, privacy compliance can leverage specific features: registry of processing activities, centralized privacy note management, consent registry with Blockchain integrated notarization. Blindata Agent can connect to different data sources, collecting metadata such data structures (Tables, Views, Fields, …), data quality metrics, reverse lineage, etc. Blindata has a modular and entirely API based architecture allowing systematic integration with the most critical business systems (DBMS, Active Directory, e-commerce, Data Platforms). Blindata is available as SaaS, can be installed “on Premise” or purchased on AWS Marketplace.Starting Price: $1000/year/user -
11
Truedat
Bluetab Solutions
Truedat is an open source data governance business solution tool developed by Bluetab Solutions in order to help our clients become data-driven companies. We help to define business processes, roles & responsibilities. We also help putting processes into practice. Integration and customization of truedat´s open source components to support the data governance processes. We guarantee the support and maintenance of the process & software of our solution modules installed by us. Based on our experience in, we have developed a solution that covers the need for Data Governance, allowing to manage and control highly complex and changing data architectures. The highly increasing migration of enterprise IT platforms to cloud, multi-cloud and hybrid architectures, increases the sources, complexity and types of data and therefore rises the need for truedat. Our solution comes from more than 8 years of experience in Data Governance consulting and development projects. -
12
Secuvy AI
Secuvy
Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via AI-driven workflows. Best in class data intelligence especially for unstructured data. Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via ai-driven workflows. Best in class data intelligence especially for unstructured data. Automated data discovery, customizable subject access requests, user validations, data maps & workflows for privacy regulations such as ccpa, gdpr, lgpd, pipeda and other global privacy laws. Data intelligence to find sensitive and privacy information across multiple data stores at rest and in motion. In a world where data is growing exponentially, our mission is to help organizations to protect their brand, automate processes, and improve trust with customers. With ever-expanding data sprawls we wish to reduce human efforts, costs & errors for handling Sensitive Data. -
13
Validio
Validio
See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only.
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