Tamr
by Tamr · Master Data Management
AI-native master data management that unifies data into trusted golden records.
- Works with
- SAP, Oracle, Salesforce, Microsoft Dynamics
- Deployment
- Cloud
- Pricing
- Quote-based (consumption/tiered)
- Founded
- 2013
- Headquarters
- Cambridge, Massachusetts, United States
Overview
Tamr is an AI-native master data management (MDM) platform that unifies, cleans, and enriches enterprise data to produce trusted "golden records" for customers, suppliers, and products. Founded in 2013 in Cambridge, Massachusetts, Tamr grew out of research by Turing Award-winning MIT computer scientist Michael Stonebraker and entrepreneur Andy Palmer, applying machine learning-based entity resolution rather than purely rules-based matching to identify and merge duplicate or fragmented records across systems.
The platform is aimed at data and analytics teams inside large organizations who need a single source of truth for master data that spans CRMs, ERPs, and cloud data platforms. Tamr applies AI/ML matching models, augmented by human and agentic curation, to clean, match, and merge records from systems such as Salesforce, SAP, Oracle, and Microsoft Dynamics into unified golden records, and can push updates back to those systems in real time.
Tamr RealTime exposes this mastered data through event-driven, API-first connectivity (including search-before-create fuzzy-match APIs and webhook notifications), letting operational systems query and receive golden-record updates without batch delays. Tamr also runs natively inside major cloud data platforms: it ships a Snowflake Native App (Tamr Smart Curation) integrated with Snowflake Streams for change data capture, and is built on Google Cloud technologies (BigQuery, Dataproc, Bigtable, Cloud Run) for large-scale mastering, and lists Databricks, AWS, and Azure among its supported cloud environments.
Screenshots & demo
Demo video from the vendor's YouTube channel.
Features & capabilities
Entity Resolution & Matching
AI/ML-based identification and merging of duplicate or fragmented records.
- AI-powered entity resolution and matching
- Fuzzy-match search-before-create APIs
- Human-in-the-loop / agentic curation and review
- Duplicate detection and prevention at point of entry
Golden Record Mastering
Consolidation of records from multiple sources into a single trusted version.
- Customer, supplier, and product golden records
- Enterprise Knowledge Graph linking related entities
- Data enrichment from third-party sources
- Unique, persistent Tamr IDs for mastered entities
Real-Time Data Delivery
Event-driven APIs that push mastered data to operational systems.
- Tamr RealTime API-first architecture
- Webhook notifications for data change events
- Bidirectional sync back to CRMs and ERPs
- No-code data stewardship UI for review workflows
Data Quality & Governance
Tooling to monitor and maintain data accuracy and stewardship.
- Data quality monitoring and alerting
- Data stewardship and governance workflows
- Change data capture via Snowflake Streams
Cloud Platform Native Deployment
Mastering delivered natively inside major cloud data platforms.
- Snowflake Native App (Tamr Smart Curation)
- Google Cloud-based mastering (BigQuery, Dataproc, Bigtable, Cloud Run)
- Support for AWS, Azure and Databricks environments
Common use cases
- Building a unified customer 360 view across CRM and ERP systems
- Consolidating supplier data scattered across procurement and ERP systems into one golden record
- Mastering complex product data for catalog or supply-chain consistency
- Accelerating post-merger data unification across multiple CRMs and ERPs (e.g. Salesforce, SAP, Oracle)
- Preventing duplicate customer or vendor records at the point of entry via fuzzy-match APIs
- Curating and monitoring data quality directly inside Snowflake via the Tamr Smart Curation native app
- Mastering large-scale healthcare provider or reference data sets (e.g. millions of provider records from 150+ sources)
Strengths & considerations
Strengths
- AI-native, machine-learning-based entity resolution built on research from Turing Award winner Michael Stonebraker, rather than a purely rules-based matching engine
- Real-time, API-first delivery of golden records to operational systems instead of overnight batch MDM processing
- Deep native presence inside cloud data platforms, including a published Snowflake Native App and Google Cloud-based architecture, alongside Databricks and Azure support
- Consumption-based pricing that charges only for mastered golden records (Tamr IDs), not for duplicate input records
ERP integrations
AI/ML matching unifies SAP data with other CRM/ERP sources into golden records, with real-time API updates back to SAP
Golden-record mastering and real-time sync with Oracle CRM/ERP data
Pricing
Tiered SaaS packages (e.g. Starter up to 50k records, Advanced, Enterprise for 10M+ IDs); customers pay for mastered golden records (Tamr IDs), not duplicate input records; Tamr RealTime API capabilities priced separately. No public starting price listed. Get an independent shortlist with pricing guidance below.
Technical & security
- Hosting
- SaaS, available natively on Snowflake, Google Cloud, AWS, Azure and Databricks
About the vendor
- Founded
- 2013
- Headquarters
- Cambridge, Massachusetts, United States
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Tamr — frequently asked questions
Does Tamr integrate with SAP?
Yes. Tamr applies AI/ML matching to unify SAP data with other CRM and ERP sources into golden records, and Tamr RealTime APIs can sync mastered data back to SAP in real time.
Does Tamr integrate with Snowflake and Databricks?
Yes. Tamr publishes a Snowflake Native App (Tamr Smart Curation) that uses Snowflake Streams for change data capture, and lists Databricks alongside AWS, Azure and Google Cloud as supported cloud environments for its mastering platform.
How is Tamr priced?
Tamr uses quote-based, tiered SaaS pricing (Starter, Advanced, Enterprise) based on data type and volume of mastered records, charging only for output golden records (Tamr IDs) rather than duplicate input records. No public starting price is listed; a custom quote is required.
What kind of data does Tamr master?
Tamr masters customer, supplier, and product data, consolidating records from CRMs, ERPs, and other systems into a single trusted golden record for each entity.
Evaluating Master Data Management?
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