Datagrok
Datagrok is a browser-based data analytics platform with a proprietary in-memory columnar database, serving pharmaceutical and life sciences R&D teams with built-in cheminformatics, bioinformatics, and ML capabilities via a hybrid self-serve and enterprise SaaS model.
- Company typePrivate
- Founded2019
- HeadquartersAmbler, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Datagrok does
Datagrok is a privately held browser-based data analytics platform founded in 2019 by Andrew Skalkin, headquartered in Ambler, Pennsylvania, and operating as a remote-first company with approximately 25 employees. Its core product is a proprietary in-memory columnar database built from scratch in Dart, which runs both server-side and in the browser, enabling client-side exploration of datasets up to tens of millions of rows (including the entire ChEMBL database of 2.7 million molecules) without installation. The platform layers 50+ interactive viewers, an automatic semantic type detection system (covering molecules, macromolecules, geographic data, and others), built-in cheminformatics and bioinformatics packages, and a no-code machine learning toolkit (clustering, dimensionality reduction, ANOVA, hypothesis testing) on top of this engine.
The product portfolio includes a JavaScript API and Python API (datagrok-api via pip), a Compute Engine supporting scripts in R, Python, Octave, JavaScript, and Julia, native Jupyter Notebook integration, Low-code Workflows, Diff Studio, and an App Marketplace with 50+ open-source plugins and 500+ built-in functions. The platform addresses fragmented scientific data, slow desktop-bound analytical tooling, and the absence of browser-native cheminformatics and bioinformatics environments.
Datagrok operates a hybrid go-to-market: a free self-serve public platform (public.datagrok.ai) for individual exploration paired with enterprise field sales targeting pharmaceutical, biotech, and life sciences organizations that require secure, governed deployments (Docker, CloudFormation, Terraform; role-based access; audit trails). Pricing is not publicly disclosed but follows a subscription enterprise license model. The team is heavily weighted toward scientific PhDs (7 on staff) with backgrounds in molecular drug design, genetics, cheminformatics, and pharmaceutical R&D, and the company holds 10 patented software programs.
Datagrok firmographics
Firmographics- Name
- Datagrok
- Legal name
- Datagrok, Inc.
- Website
- https://datagrok.ai
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Datagrok is a browser-based data analytics platform with a proprietary in-memory columnar database, serving pharmaceutical and life sciences R&D teams with built-in cheminformatics, bioinformatics, and ML capabilities via a hybrid self-serve and enterprise SaaS model.
- Ownership category
- akta.pro rank
Datagrok industry classification
Industry- Product category
- Scientific Data Analytics Platform
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
- akta.pro secondary industries
- Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB), Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC), Data Sharing, Data Exchange & Data Marketplace Platforms (HDAEABAH)
Keywords
Where Datagrok is headquartered
LocationHeadquarters
- HQ city
- Ambler
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Datagrok business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- Enterprise Platform License: Enterprise deployments for pharmaceutical and life sciences organizations requiring secure, governed data environments with role-based access control, audit trails, and compliance capabilities. Pricing likely follows a subscription model based on team size and deployment scope.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | Public (Free) |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels5 records
Datagrok product offering
Product offeringCore offering
Datagrok is a browser-based data analytics platform built on a proprietary in-memory columnar database designed for exploratory data analysis. It provides 50+ interactive viewers, native cheminformatics and bioinformatics capabilities, cross-language scripting (Python, R, JavaScript, Julia, Octave), and a JavaScript/Python API for extensibility. Customers access it either through a free public self-serve deployment (public.datagrok.ai) or via enterprise deployments to pharmaceutical and life sciences organizations.
Product overview
Datagrok is a browser-based data analytics platform built around a proprietary in-memory columnar database that runs on both server and web browser. The core Datagrok Platform combines 50+ interactive viewers, the JavaScript API for extensibility, and a Compute Engine supporting scripts in R, Python, Octave, JavaScript, and Julia. The platform integrates with Jupyter Notebooks and offers an App Marketplace. The product portfolio includes the JavaScript API and Python API for programmatic access, 50+ open-source plugins (including specialized Chem and Bio packages for cheminformatics and bioinformatics), 500+ built-in functions, Diff Studio for dataset comparison, and Low-code Workflows for multi-step data processing. The platform is optimized for structured tabular data with automatic semantic type detection for domain-specific data including molecules, sequences, and geographic information.
Differentiator
Problem solved
Functional benefit
Products and services
- Datagrok Platform Browser-based data analytics platform with proprietary in-memory columnar database, 50+ interactive viewers, cheminformatics and bioinformatics support, and 40+ database connectors. Targeted at pharmaceutical, biotech, and life sciences organizations needing secure, governed analytical environments for drug discovery, ADME prediction, virtual screening, and SAR analysis.
- JavaScript API JavaScript API that provides programmatic control over all aspects of the Datagrok platform, including data manipulation, views, function registration, events, docking, REST API, machine learning, and cheminformatics. Targeted at developers extending the platform with custom data formats, connectors, transformations, viewers, and applications.
- Python API Python client library for programmatic integration with the Datagrok platform via REST API. Provides resource clients for users, groups, tables, files, functions, connections, and shares. Targeted at Python developers and data scientists integrating Datagrok into Python-based workflows.
- Compute Engine Server-side compute engine for executing scripts in R, Python, Octave, JavaScript, and Julia within the Datagrok platform. Supports statistical packages, predictive modeling, and integration of multiple scripting language backends. Targeted at data scientists running computational workflows on large datasets.
Quantifiable outcome
- Load entire ChEMBL database (2.7 million molecules) in browser and explore interactively
- +1 more outcomes
Companies that use Datagrok
Customer profileSegments5 records
Ideal customer profiles3 records
Datagrok technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability9 records
Feature7 records
Datagrok partnerships and signals
Strategic signalScale indicators4 records
Recent moves6 records
Expansion highlights5 records
Datagrok competitors and assessment
Company assessmentDirect peers
- TetraScience: TetraScience is a data cloud purpose-built for life sciences R&D, connecting lab instruments and scientific data into a unified, AI-ready platform. Like Datagrok, it targets pharma/biotech R&D teams and emphasizes governed, validated scientific data workflows.
- Benchling: Benchling is a cloud platform for life sciences R&D covering molecular biology, sequencing, and process development. It shares Datagrok's focus on serving pharma/biotech scientists with specialized workflows and domain-aware tooling rather than generic BI.
- Dotmatics: Dotmatics provides an R&D scientific intelligence platform for chemistry, biology, and formulation workflows across pharma. It directly competes with Datagrok's cheminformatics and lab-data analytics capabilities in the same enterprise pharma buyer.
- KNIME: KNIME is an open-source data analytics platform with strong adoption in pharma for visual workflows, data blending, and ML. Like Datagrok, it targets data scientists and analysts with a low-code, extensible, browser-accessible analytics environment.
- ChemAxon: ChemAxon provides cheminformatics toolkits and platforms widely used across pharma for molecule handling, registration, and visualization. It overlaps directly with Datagrok's cheminformatics engine and molecule-rendering capabilities for the same buyer.
Broad incumbents
- Databricks: Databricks is a dominant unified data and AI platform widely adopted in pharma for genomic and omics workloads. It competes with Datagrok at the platform layer for analytical workloads in life sciences but lacks Datagrok's deep cheminformatics semantic types.
- Palantir Foundry: Palantir Foundry provides an enterprise data operating system used by several large pharma companies for R&D and clinical data integration. It overlaps with Datagrok's enterprise data analytics positioning at much larger scale and broader scope.
- TIBCO Spotfire: TIBCO Spotfire is an established analytics platform with deep penetration in pharma R&D for interactive visualization and exploratory analysis. It competes with Datagrok's interactive viewers and columnar engine, particularly for bench scientists.
- Tableau: Tableau is a leading general-purpose interactive data visualization platform with significant pharma R&D usage. It competes with Datagrok at the interactive-viewer layer but lacks the deep cheminformatics and bioinformatics semantic layer.
Emerging players
- Plotly (Dash): Plotly's Dash framework enables interactive, browser-based analytical dashboards in Python. It is a partial overlap with Datagrok's interactive viewers and JS API, particularly for data scientists building scientific applications in life sciences.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Datagrok social profiles
Digital presenceDatagrok financial estimates
Financial estimateRevenue estimate
Valuation estimate
Datagrok leadership team
Management profileNumber of profiles
Profiles6 records
Datagrok funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Datagrok 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 Datagrok
What does Datagrok do?
Datagrok is a browser-based data analytics platform built on a proprietary in-memory columnar database designed for exploratory data analysis. It provides 50+ interactive viewers, native cheminformatics and bioinformatics capabilities, cross-language scripting (Python, R, JavaScript, Julia, Octave), and a JavaScript/Python API for extensibility. Customers access it either through a free public self-serve deployment (public.datagrok.ai) or via enterprise deployments to pharmaceutical and life sciences organizations.
Is Datagrok a public or private company?
Datagrok is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Datagrok founded?
Datagrok was founded in 2019. It employs 11 to 50 people.
Where is Datagrok based?
Datagrok is headquartered in Ambler, United States, in the North America region.
How does Datagrok make money?
One revenue line is on record: enterprise Platform License.
Who are Datagrok's main competitors?
Direct peers on record are TetraScience, Benchling, Dotmatics, KNIME and ChemAxon. Broad incumbents are Databricks, Palantir Foundry, TIBCO Spotfire and Tableau. Plotly (Dash) is listed as an emerging player.
Does Datagrok have an API?
Yes. Datagrok provides both a JavaScript API and a Python API. The JavaScript API (datagrok.ai/api/js/) controls all aspects of the platform via three entry points: grok (for discoverability), ui (for building user interfaces), and DG (for instantiating classes directly). It supports data manipulation (DataFrame, Column, BitSet), views, function registration, events (via RxJS), user-defined types, docking, REST API (grok.dapi entry point for managing server-based objects), machine learning (grok.ml), and cheminformatics (grok.chem). The Python API (datagrok-api library via pip) integrates with the platform via REST API using DatagrokClient, providing access to users, groups, tables, files, functions, connections, and shares. Developer documentation is at datagrok.ai/api/js.
What industry is Datagrok in?
Datagrok's product category is Scientific Data Analytics Platform. Its primary akta.pro industry code is HDAEABAD, Data Platform (Unified Data & Analytics) Suites, with a secondary code of HDAEADAB, Data Governance Platforms (Policies, Stewardship, Workflows). Its NAICS code is 51821 and its SIC code is 7372.