Insights

SMB Growth Datagrok targets a smaller mid-market segment (11-50 employees) with a focus on self-serve data exploration and pipeline management, presenting an upsell path to more advanced analytics features and enterprise governance.

Data Platform Strong emphasis on a unified data ecosystem including connections to data sources, pipelines, and ontologies. This creates cross-sell opportunities for data visualization, modeling, and reusable components across teams.

AI Enablement Leveraging AI to learn from user actions suggests opportunities to pitch automated data preparation, guidance, and model recommendations as premium capabilities for faster time-to-insight.

Tech Stack Fit Existing integrations with Databricks, Snowflake, Redshift, and major SQL databases indicate alignment with modern cloud analytics workloads; propose co-sell approaches with these ecosystems and related data tooling partners.

Sales Upsell Revenue in the low millions with a lean team implies a potential for rapid expansion through expanded modules (data governance, ontology management, application building) and scalable pricing to unlock higher ARR.

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Datagrok Tech Stack

Datagrok uses 8 technology products and services including Databricks, GitHub, HashiCorp Terraform, and more. Explore Datagrok's tech stack below.

Datagrok's Email Address Formats

Datagrok uses at least 1 email format:
Datagrok Email FormatsExamplePercentage
FLast@datagrok.aiJDoe@datagrok.ai
100%

Frequently Asked Questions

What is Datagrok's official website and social media links?

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Datagrok's official website is datagrok.ai and has social profiles on LinkedIn.

How much revenue does Datagrok generate?

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As of September 2026, Datagrok's annual revenue is estimated to be $1M - $10M.

What is Datagrok's NAICS code?

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Datagrok's NAICS code is 5112 - Software Publishers.

How many employees does Datagrok have currently?

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As of September 2026, Datagrok has approximately 19 employees across 3 continents, including Europe, North America and Asia. Key team members include Senior Data Scientist: D. R., Data Scientist: V. M. and Software Engineer: D. K. Explore Datagrok's employee directory with LeadIQ.

What industry does Datagrok belong to?

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Datagrok operates in the Software Development industry.

What technology does Datagrok use?

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Datagrok's tech stack includes Databricks, GitHub, HashiCorp Terraform, Snowflake, Amazon Redshift, Microsoft SQL Server, Atlassian Jira and Slack.

What is Datagrok's email format?

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Datagrok's email format typically follows the pattern of FLast@datagrok.ai. Find more Datagrok email formats with LeadIQ.

When was Datagrok founded?

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Datagrok was founded in 2019.
Datagrok logo

Datagrok

Software DevelopmentPennsylvania, United States11-50 Employees

Datagrok offers a software platform for working with an organization’s complex data. It enables non-technical users to discover, cleanse, visualize, explore, and model data, and to share their results with colleagues. The platform supports connecting to data sources, building data pipelines, maintaining a repository of domain-related scripts, and defining ontologies, while incorporating AI to learn from data and user actions and to support the creation of reusable components and domain-specific applications.

Datagrok is based in Lower Gwynedd, Pennsylvania, and operates in the software development industry. Its described capabilities point to a focus on helping organizations broaden access to data workflows and manage data infrastructure components within a unified platform.

Section iconCompany Overview

NAICS Code
5112 - Software Publishers
Founded
2019
Employees
11-50

Section iconFunding & Financials

  • $1M - $10M

    Datagrok's revenue is estimated to be in the range of $1M - $10M

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