Datometry
- Company typePrivate
- Founded2013
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Datometry firmographics
Firmographics- Name
- Datometry
- Legal name
- Datometry Inc.
- Website
- https://datometry.com
- Company type
- Private
- Founded year
- 2013
- Operating status
- Acquired
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Datometry industry classification
Industry- Product category
- Database Virtualization Software
- NAICS
- Software Publishers (5132), Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Data Virtualization & Logical Data Warehousing (HDAEABAG)
- akta.pro secondary industries
- Database/Application Data Layer Modernization (DB migration, ORM, caching) (BPAEAFAL), Enterprise Application Data Migration & Master Data Management Services (BPAEAGAJ)
Keywords
Where Datometry is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
Datometry business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations
Go-to-market motion1 record
Datometry product offering
Product offeringCore offering
Datometry develops database system virtualization middleware (Hyper-Q) that enables enterprises to run their existing applications directly on next-generation databases without requiring changes to SQL or APIs. The platform virtualizes SQL behavior (e.g., Teradata) onto target cloud data platforms (e.g., Snowflake), allowing customers to migrate off costly legacy data warehouse contracts through a three-step Repoint, Test, and Transition process that compresses migration timelines from years to weeks.
Product overview
Datometry is a database system virtualization platform consisting of its core product Hyper-Q and Datometry for Snowflake. Hyper-Q is a middleware platform that enables existing applications to run on next-generation databases without requiring changes to SQL or APIs. Datometry for Snowflake extends this capability specifically for migrating from Teradata to Snowflake, virtualizing Teradata SQL behavior directly on the Snowflake platform. Following Snowflake's acquisition of Datometry in late 2025, these products enhance Snowflake's migration automation capabilities.
Differentiator
Problem solved
Functional benefit
Brands
- Hyper-Q: Database system virtualization platform that enables enterprises to run their existing applications directly on next-generation databases without needing costly and risk-laden database migrations
Products and services
- Datometry Hyper-Q A middleware platform that enables existing applications to run on any database without requiring changes to SQL or APIs. It virtualizes database behavior to allow workload portability across database systems, targeted at large enterprises seeking to migrate from legacy data warehouse platforms like Teradata and Oracle to modern cloud data platforms.
- Datometry for Snowflake A platform transition solution that virtualizes Teradata SQL behavior directly on Snowflake, enabling enterprises to migrate from Teradata to Snowflake without rewriting existing SQL code or experiencing downtime. It uses a three-step process (Repoint, Test, Transition) to complete migrations in weeks rather than years, intended for large enterprises running legacy Teradata workloads.
Quantifiable outcome
- Migration time reduced from years to weeks through three-step process
- +1 more outcomes
Companies that use Datometry
Customer profileSegments1 record
Ideal customer profiles1 record
Datometry technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature1 record
Datometry partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- SnowflakecoreSnowflake acquired Datometry to enhance its migration automation tools including SnowConvert AI and Snowpark Migration Accelerator. The acquisition leverages Datometry's core technology Hyper-Q to differentiate Snowflake from competitors and accelerate cloud data migration capabilities. This partnership enables enterprises to migrate from Teradata and other legacy platforms to Snowflake's AI Data Cloud.
Scale indicators1 record
Recent moves6 records
Expansion highlights4 records
Datometry competitors and assessment
Company assessmentDirect peers
- Imply: Database-focused analytics platform that was also acquired by a cloud data giant (Databricks), pursuing a similar trajectory of database technology consolidation. Comparable as a database-layer technology company that was acquired by a strategic acquirer to enhance a cloud data platform.
- Denodo: Data virtualization and logical data warehousing platform that abstracts queries across heterogeneous data sources. Directly comparable to Datometry's Hyper-Q in providing a virtualization layer that decouples applications from underlying databases.
- Dremio: Lakehouse platform with SQL query federation across data sources, providing a similar abstraction between BI/analytics workloads and underlying storage engines. Comparable in enabling cross-database query execution without data movement.
- Starburst: Enterprise data virtualization and federation platform built on Trino, enabling querying across data lakes, warehouses, and databases. Comparable as a data virtualization layer serving enterprise analytics and migration use cases.
- Striim: Real-time data integration and database replication/migration platform. Comparable for moving workloads and replicating data between legacy databases (Oracle, Teradata) and cloud targets, addressing similar enterprise migration pain points.
Broad incumbents
- Informatica: Large enterprise data integration and master data management platform with broad capabilities in data migration, integration, and governance. Overlaps with Datometry's database migration and data layer modernization use cases at enterprise scale.
- AWS Database Migration Service: Cloud-provider-managed database migration service for homogeneous and heterogeneous migrations. Competes with Datometry as an alternative path for enterprises moving from legacy databases to cloud targets.
- Azure Database Migration Service: Microsoft's cloud-native database migration service assisting enterprises in moving from SQL Server, Oracle, and other databases to Azure targets. Overlaps with Datometry's migration value proposition for legacy-to-cloud transitions.
Emerging players
- Fivetran: Automated data integration and ELT platform focused on moving data into cloud warehouses. Comparable as an enabler of legacy-to-cloud data migrations, though focused on data movement rather than runtime SQL virtualization.
- Matillion: Cloud-native ETL and data integration platform for moving and transforming data into cloud warehouses. Comparable as a tooling layer for cloud data migration and warehouse modernization projects.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks5 records
Key highlights6 records
Customer concentration
Datometry social profiles
Digital presenceDatometry financial estimates
Financial estimateRevenue estimate
Valuation estimate
Datometry leadership team
Management profileNumber of profiles
Profiles3 records
Datometry funding detail
Funding detailFunding overview
Funding rounds5 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Datometry M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Datometry
What does Datometry do?
Datometry develops database system virtualization middleware (Hyper-Q) that enables enterprises to run their existing applications directly on next-generation databases without requiring changes to SQL or APIs. The platform virtualizes SQL behavior (e.g., Teradata) onto target cloud data platforms (e.g., Snowflake), allowing customers to migrate off costly legacy data warehouse contracts through a three-step Repoint, Test, and Transition process that compresses migration timelines from years to weeks.
Is Datometry a public or private company?
Datometry is a private company. It is classified as corporate owned and is currently acquired.
When was Datometry founded?
Datometry was founded in 2013. It employs 11 to 50 people.
Where is Datometry based?
Datometry is headquartered in San Francisco, United States, in the North America region.
Who are Datometry's main competitors?
Direct peers on record are Imply, Denodo, Dremio, Starburst and Striim. Broad incumbents are Informatica, AWS Database Migration Service and Azure Database Migration Service. Emerging players are Fivetran and Matillion.
Does Datometry have an API?
No public API is recorded for Datometry.
What industry is Datometry in?
Datometry's product category is Database Virtualization Software. Its primary akta.pro industry code is HDAEABAG, Data Virtualization & Logical Data Warehousing, with a secondary code of BPAEAFAL, Database/Application Data Layer Modernization (DB migration, ORM, caching). Its NAICS code is 5132 and its SIC code is 7370.