Datameer

Name: Datameer
Brand: Datameer
Rating: 4.2 (29 reviews)

Transform Data In Snowflake with No Code.

Est 2009|Valuation $59.4M|Raised $140.3M|25 Ref Customers

LinkedIn 24K|Web traffic 2K|FTEs 166|HQ San Francisco, California, US

MarketsData Transformation Data Preparation

01Competitive Landscape

Narrative analysis

Datameer vs Alteryx - Datameer emphasizes executing transformation logic inside Snowflake and providing both no-code and SQL interfaces. - Alteryx is commonly recognized for a broad integration ecosystem and mature desktop/cloud workflow capabilities; desktop-first use can generate governance challenges in some deployments. - Public comparison content suggests Alteryx scores higher on data blending and integration dimensions in some reviewer comparisons, while Datameer’s Snowflake integration is viewed positively. Datameer vs Matillion - Matillion is positioned as an ELT/orchestration platform with many connectors and multi-warehouse coverage. Datameer positions itself as a transformation/prep tool and notes it is not intended to serve as a full integration platform. - For organizations whose primary gap is ingestion and orchestration, Matillion or an ingestion provider may address those needs more directly. For analyst-oriented transformations inside Snowflake, Datameer is positioned as a candidate. Datameer vs dbt - dbt is a code-first transformation framework with strong software engineering workflows (CI/CD, Git, tests). Datameer’s comparative advantage is a no-code/visual interface alongside SQL; dbt’s advantage is developer-oriented scale and engineering practices.

Market share / adoption trends

Authoritative, up-to-date market share metrics for Datameer were not found in the reviewed sources.

	Datameer	Alteryx	Matillion
Starting Price	Not publicly listed (quote-based; per-seat model indicated)	Varies by edition (enterprise sales model)	Consumption/credit model; pricing depends on plan/contract
Primary Use Case	Snowflake-centric teams needing low/no-code and SQL-based transformations executed in-warehouse	Analyst-focused data blending and cleansing with a broad integration ecosystem	Cloud ELT and orchestration for multi-warehouse pipelines
Key Strength	Execution within Snowflake; multi-persona interface combining visual and SQL workflows	Broad integrations and established data blending/cleansing capabilities	Broad connector set and orchestration features; multi-warehouse support
Key Weakness	Limited native ingestion/connectors and Snowflake-focused scope may limit multi-warehouse strategies	Legacy desktop usage patterns can create governance challenges in some environments	Consumption pricing complexity and potential for higher combined costs with warehouse compute

01Competitive Landscape

Narrative analysis

Datameer vs Alteryx

Datameer emphasizes executing transformation logic inside Snowflake and providing both no-code and SQL interfaces.
Alteryx is commonly recognized for a broad integration ecosystem and mature desktop/cloud workflow capabilities; desktop-first use can generate governance challenges in some deployments.
Public comparison content suggests Alteryx scores higher on data blending and integration dimensions in some reviewer comparisons, while Datameer’s Snowflake integration is viewed positively.

Datameer vs Matillion

Matillion is positioned as an ELT/orchestration platform with many connectors and multi-warehouse coverage. Datameer positions itself as a transformation/prep tool and notes it is not intended to serve as a full integration platform.
For organizations whose primary gap is ingestion and orchestration, Matillion or an ingestion provider may address those needs more directly. For analyst-oriented transformations inside Snowflake, Datameer is positioned as a candidate.

Datameer vs dbt

dbt is a code-first transformation framework with strong software engineering workflows (CI/CD, Git, tests). Datameer’s comparative advantage is a no-code/visual interface alongside SQL; dbt’s advantage is developer-oriented scale and engineering practices.

Market share / adoption trends

Authoritative, up-to-date market share metrics for Datameer were not found in the reviewed sources.

	Datameer	Alteryx	Matillion
Starting Price	Not publicly listed (quote-based; per-seat model indicated)	Varies by edition (enterprise sales model)	Consumption/credit model; pricing depends on plan/contract
Primary Use Case	Snowflake-centric teams needing low/no-code and SQL-based transformations executed in-warehouse	Analyst-focused data blending and cleansing with a broad integration ecosystem	Cloud ELT and orchestration for multi-warehouse pipelines
Key Strength	Execution within Snowflake; multi-persona interface combining visual and SQL workflows	Broad integrations and established data blending/cleansing capabilities	Broad connector set and orchestration features; multi-warehouse support
Key Weakness	Limited native ingestion/connectors and Snowflake-focused scope may limit multi-warehouse strategies	Legacy desktop usage patterns can create governance challenges in some environments	Consumption pricing complexity and potential for higher combined costs with warehouse compute