SDF
- Company typePrivate
- Founded2024
- HeadquartersLos Angeles, United States
- Headcount251–500
- GTM typeB2B
- OfferingSoftware
SDF firmographics
Firmographics- Name
- SDF
- Legal name
- SDF Labs
- Website
- https://sdf.com
- Company type
- Private
- Founded year
- 2024
- Operating status
- Acquired
- Headcount range
- 251–500 employees
- Ownership category
- akta.pro rank
SDF industry classification
Industry- Product category
- Data Transformation Software
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
- akta.pro primary industry
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
- akta.pro secondary industry
- Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)
Keywords
Where SDF is headquartered
LocationHeadquarters
- HQ city
- Los Angeles
- HQ country
- United States
- HQ region
- North America
Markets served
SDF business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure
Revenue model
- Open Source Platform: SDF operates as an open source data transformation platform. While the revenue model details are not explicitly disclosed, open source platforms typically monetize through enterprise features, support, and cloud services.
Go-to-market motion1 record
Distribution channels2 records
Marketing channels1 record
SDF product offering
Product offeringCore offering
SDF is a compiler and build system that uses static analysis to comprehensively examine SQL code at warehouse scale, providing deep SQL comprehension for data transformation workloads. Built on open source technology and originated at Meta, the platform enables dbt to be faster and more cost-efficient while unlocking metadata use-cases such as true column-level lineage for data teams building reliable, optimized warehouses.
Product overview
SDF (SQL Data Framework) was a data transformation platform designed for building reliable, optimized data warehouses. The platform extended SQL-based data warehousing capabilities and was built on open source technology. SDF Labs, the company behind the product, was acquired by dbt Labs to integrate SDF's SQL comprehension technology into dbt, enabling faster and more cost-efficient data tooling while unlocking metadata use-cases like column-level lineage.
Differentiator
Problem solved
Functional benefit
Products and services
- SDF (SQL Data Framework)
Quantifiable outcome
- dbt will be both much faster and significantly more cost-efficient with SDF integration
Companies that use SDF
Customer profileSegments1 record
Ideal customer profiles2 records
SDF technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature1 record
SDF partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- dbt Labscoredbt Labs acquired SDF Labs to introduce robust SQL comprehension into dbt and supercharge developer efficiency. The two teams are working side-by-side to bring SDF's SQL comprehension technology to dbt users. With SDF under the hood, dbt is faster and more cost-efficient while unlocking new metadata use-cases like true column-level lineage.
Scale indicators2 records
Recent moves5 records
Expansion highlights5 records
SDF competitors and assessment
Company assessmentDirect peers
- dbt Labs: dbt Labs is the acquirer of SDF Labs and the leading open-source data transformation platform; SDF's SQL comprehension technology is being integrated directly into dbt Cloud, making the two products now part of a single roadmap rather than head-to-head competitors.
- Coalesce: Coalesce is a data transformation platform focused on column-aware, governed SQL development for cloud warehouses; it competes directly with SDF's positioning around faster, more reliable SQL-based transformations with strong metadata.
- Dataform (Google): Dataform provides SQL-based data transformation workflows with dependency management and testing, acquired by Google and integrated into BigQuery; it is a close functional peer to SDF in the SQL transformation tooling category.
Emerging players
- Datafold: Datafold provides data observability, column-level lineage, and diff-testing for dbt pipelines; it overlaps with SDF's metadata and reliability capabilities, particularly around column-level lineage use-cases.
- Monte Carlo: Monte Carlo is a data observability platform with lineage and pipeline monitoring capabilities; it competes with SDF for the metadata and reliability use-cases that data teams are layering on top of transformation tools.
- Great Expectations: Great Expectations is an open-source data quality and testing framework commonly used inside dbt projects; it overlaps with SDF's reliability and validation positioning for SQL-based data transformations.
Broad incumbents
- Airbyte: Airbyte is an open-source data integration platform with a growing transformation layer; it competes in the broader modern data stack alongside SDF/dbt and overlaps on workflow consolidation around the warehouse.
- Fivetran: Fivetran is the leading managed data integration platform and recently merged with dbt Labs; it is now part of the same combined entity that houses SDF, making it both a peer and a sibling capability in the data control plane.
- Snowflake: Snowflake provides a cloud data platform with native transformation capabilities (Snowpark, dynamic tables) that competes for the same data transformation workloads SDF and dbt address.
- Databricks: Databricks offers the Lakehouse Platform with DLT and Unity Catalog for transformations, lineage, and governance; it overlaps with SDF/dbt across data engineering, transformation, and metadata use-cases at enterprise scale.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key highlights6 records
Customer concentration
SDF social profiles
Digital presenceSDF financial estimates
Financial estimateRevenue estimate
Valuation estimate
SDF leadership team
Management profileNumber of profiles
Profiles4 records
SDF funding detail
Funding detailFunding overview
Funding rounds1 record
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
SDF 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 SDF
What does SDF do?
SDF is a compiler and build system that uses static analysis to comprehensively examine SQL code at warehouse scale, providing deep SQL comprehension for data transformation workloads. Built on open source technology and originated at Meta, the platform enables dbt to be faster and more cost-efficient while unlocking metadata use-cases such as true column-level lineage for data teams building reliable, optimized warehouses.
Is SDF a public or private company?
SDF is a private company. It is classified as corporate owned and is currently acquired.
When was SDF founded?
SDF was founded in 2024. It employs 251 to 500 people.
Where is SDF based?
SDF is headquartered in Los Angeles, United States, in the North America region.
How does SDF make money?
One revenue line is on record: open Source Platform.
Who are SDF's main competitors?
Direct peers on record are dbt Labs, Coalesce and Dataform (Google). Emerging players are Datafold, Monte Carlo and Great Expectations. Broad incumbents are Airbyte, Fivetran, Snowflake and Databricks.
Does SDF have an API?
No public API is recorded for SDF.
What industry is SDF in?
SDF's product category is Data Transformation Software. Its primary akta.pro industry code is HDAEABAD, Data Platform (Unified Data & Analytics) Suites, with a secondary code of BPAEAHAC, Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM). Its NAICS code is 5132 and its SIC code is 7370.