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Deepnote Competitive Intelligence & Landscape
deepnote.com ·
Overview
Deepnote Overview
Founded in 2019, Deepnote is building a next-generation computational medium, viewing the notebook as a universal tool for data exploration and a building block for company-wide data needs. They are also heavily invested in Deepnote Research, focusing on building agents and AI, aiming to create a runtime that is safe, explorable, auditable, and rich enough to capture full interaction traces for autonomous data agents. The platform serves over 500,000 data professionals and emphasizes AI superpowers, allowing users to query, analyze, and interpret data without extensive coding skills.
Deepnote caters to a broad target market including fintech & finance, biotechnology, gaming, enterprise, and startups, as well as research and education. Their services address use cases like ETL/ELT pipelines, data transformation, model training and serving, fraud detection, and churn analysis. The company offers solutions for enterprises with features like RBAC, SSO, SCIM user provisioning, tailored deployment options, and white-glove onboarding, ensuring secure and collaborative workflows at scale. Deepnote, Inc. is based in Middletown, DE, United States, with an EU representative, Deepnote Czechia s.r.o., located in Prague.
Sources
Privacy Notice for Candidates
deepnote.com
We build tools for explorers - Deepnote
deepnote.com
Deepnote: Collaborative analytics & data science notebook
deepnote.com
Full Stack Engineer
deepnote.com
Manifesto
deepnote.com
Deepnote: Collaborative analytics & data science notebook
deepnote.com
Enterprise data science platform for secure, collaborative workflows
deepnote.com
How Deepnote uses Deepnote
deepnote.com
How Deepnote uses Deepnote
deepnote.com
Full Stack Engineer
deepnote.com
Competitors
Deepnote Competitors
Hex (hex.tech) stands out as a direct competitor, positioning itself as "The AI Analytics Platform for your whole team." While both Deepnote and Hex cater to data professionals, Hex emphasizes agentic analytics and conversational self-serve BI.
Deepnote, in contrast, highlights its ability to automatically query, analyze, and interpret data within a business context, offering an open-source, Jupyter-compatible experience built for collaboration in the cloud, with sharing as simple as a link.
Another significant competitor is Jupyter Notebook, which has long been a standard choice due to its flexibility, open-source nature, and widespread usability. While Jupyter remains a strong option for individual work and certain organizational needs, Deepnote differentiates itself as an open-source Jupyter alternative with an AI-first design, a modern user interface, new blocks, and native data integrations, making it more tailored for collaborative team environments.
Julius (julius.ai) is another notable alternative, specifically excelling in natural language data analysis. With a starting price of $45/month, Julius focuses on making data analysis accessible through conversational interfaces, which directly competes with Deepnote's AI superpowers designed for data analysts and data scientists to query, analyze, and interpret data without extensive coding skills.
Tune AI, Einblick, and DecisionFacts are also listed among Deepnote's top competitors. While specific details on their differentiators, pricing, and market share compared to Deepnote are less detailed in the provided sources, their inclusion suggests they offer alternative solutions in the broader data science and analytics platform space, likely catering to similar use cases such as model training, data transformation, and collaborative data exploration.
Sources
Deepnote Alternatives & Competitors in 2026: Features + Pricing
julius.ai
Deepnote - 2026 Company Profile & Team - Tracxn
tracxn.com
Top Deepnote Alternatives, Competitors
cbinsights.com
Best Deepnote Alternatives in 2026 (Free & Paid) | ToolChase
toolchase.com
Deepnote
deepnote.com
a side-by-side comparison for 2026 - Hex vs Deepnote
deepnote.com
Deepnote Review 2026: Pricing & Alternatives | ToolChase
toolchase.com
hex.tech vs deepnote.com | Seeto
seeto.ai
What is Competitive Landscape of Deepnote Company? – businessmodelcanvastemplate.com
businessmodelcanvastemplate.com
Jupyter vs Deepnote: a side-by-side comparison for 2026
deepnote.com
Alternatives
Deepnote Alternatives
Product & Pricing
Deepnote Product and Pricing Intelligence
For data teams requiring a robust platform for seamless collaboration, the Team plan is available at $39 per editor/month when billed yearly, with a 14-day free trial. This plan encompasses all features of the Free plan, along with unlimited viewers [deepnote.com/pricing]. Deepnote emphasizes its AI superpowers for every data analyst and data scientist, enabling users to describe tasks for automated querying, analysis, and data interpretation, even without coding skills [deepnote.com/].
The Enterprise plan is tailored for secure enterprise workflows, offering advanced features such as RBAC (Role-Based Access Control), SSO (Single Sign-On), SCIM user provisioning, tailored deployment options, white-glove onboarding, private cloud & on-premise solutions, SOC 2 Type II compliance, and custom contracts [deepnote.com/enterprise]. Users can upgrade or downgrade their plans from the workspace settings, with Enterprise plan upgrades requiring a consultation with their customer success team [deepnote.com/docs/pricing].
While Deepnote traditionally focused on team and enterprise solutions, a recent development introduced the Deepnote Pro plan specifically for individuals [deepnote.com/changelog/2025-02-13]. This plan provides individual users with more power and flexibility, including unlimited AI for code generation, bug fixing, and code completion [deepnote.com/changelog/2025-02-13]. Additionally, Deepnote offers a free Education plan to educational institutions, providing access to all Deepnote features and unlimited collaborators for teaching data science [deepnote.com/docs/edu-verification].
All Deepnote projects run on cloud-based machines, removing the need for local setup [deepnote.com/docs/selecting-hardware]. Each workspace includes free machine hours that replenish monthly, with options to upgrade hardware for additional machine hours or more powerful machines as needed [deepnote.com/docs/machine-hours]. Deepnote is also now open-source, further expanding its accessibility and utility [deepnote.com/docs/getting-started/quickstart].
Sources
Deepnote Pricing
deepnote.com
Plans and billing - Deepnote docs
deepnote.com
Deepnote: Collaborative analytics & data science notebook
deepnote.com
Enterprise data science platform for secure, collaborative workflows
deepnote.com
Jupyter vs Deepnote: a side-by-side comparison for 2026
deepnote.com
Welcome to Deepnote - Deepnote docs
deepnote.com
Selecting hardware - Deepnote docs
deepnote.com
Changelog
deepnote.com
Additional machine hours - Deepnote docs
deepnote.com
Get free Education plan - Deepnote docs
deepnote.com
Hiring & Layoffs
Deepnote Hiring and Layoffs
Recent job postings indicate a strong emphasis on engineering roles, including Platform Engineer [deepnote.com/app/deepnote/Platform-Engineer-c4dce3f9-2797-4be2-9ed7-495e68243c90], Full-Stack Engineer [deepnote.com/app/deepnote/Full-Stack-Engineer-da052ccb-288f-426e-93ea-495e68243c90], and Front-end Engineer [deepnote.com/app/deepnote/Front-end-Engineer-28f2d107-3fdc-4ab1-b80f-45ea2109ff2a]. These roles, primarily located in Prague or remote within Europe, suggest Deepnote is investing heavily in the core development of its platform.
Beyond engineering, Deepnote is also seeking talent in product design, marketing, and sales. Notable openings include a Senior/Staff Product Designer - Notebook & AI interfaces [deepnote.com/app/deepnote/Senior-Staff-Product-Designer-Notebook-and-AI-interfaces-48d42939-bf48-4b58-ae19-431262d88266], a Senior Marketing Manager [deepnote.com/app/deepnote/Senior-Marketing-Manager-a828e9ed-a16b-4533-84b4-15f9ec67163a], a Senior Growth Manager [deepnote.com/app/deepnote/Senior-Growth-Manager-1c20be82-906f-43e6-a119-250edee0600], and a Sales Development Representative [deepnote.com/app/deepnote/Sales-Development-Representative-06e61803-1ebf-487e-b59c-22e5343ab49a]. The hiring of an Operations Associate [deepnote.com/app/deepnote/Operations-Associate-f4bdd6b5-7cc8-4952-9619-9e2559b395d0] and a Data Science Intern [deepnote.com/app/deepnote/Data-Science-Intern-55ebac24-a112-40a2-8961-7ea8a882b89f] further illustrates a comprehensive growth strategy.
These hiring patterns collectively signal that Deepnote is in a growth phase, focused on expanding its product capabilities, especially in AI and collaborative features, while simultaneously strengthening its market presence and operational efficiency. The emphasis on inventing new tools for data teams reinforces their commitment to innovation and leadership in the data science space.
Sources
We build tools for explorers - Deepnote
deepnote.com
Platform Engineer
deepnote.com
Full Stack Engineer
deepnote.com
Senior Marketing Manager
deepnote.com
Senior Growth Manager
deepnote.com
Sales Development Representative
deepnote.com
Senior/Staff Product Designer - Notebook & AI interfaces
deepnote.com
Operations Associate
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Front-end Engineer
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Data Science Intern
deepnote.com
Leadership
Deepnote Management and Leadership Team
Gabor Szalai is a key member of the executive team, holding the position of Head of Product Management [https://deepnote.com/blog/introducing-deepnote-ai]. Szalai is noted for his enthusiasm for technology and AI, and his role involves tackling complex problems with the engineering team [https://deepnote.com/blog/introducing-deepnote-ai].
Deepnote has actively sought to attract top talent, with job postings for roles such as Full Stack Engineer and Platform Engineer indicating a focus on building a team capable of inventing next-generation computational tools [https://deepnote.com/app/deepnote/Full-Stack-Engineer-da052ccb-288f-426e-93ea-7cbbadcdee1d]. The company's origins trace back to 2019, when it began its mission to revolutionize how data teams collaborate and solve complex problems [https://deepnote.com/app/deepnote/Platform-Engineer-c4dce3f9-2797-4be2-9ed7-495e68243c90].
While specific details on board members are not readily available in the provided sources, the company's early funding rounds saw investment from notable firms like Accel and Index [https://deepnote.com/blog/deepnote-emerges-from-stealth-with-yc-index-and-accel-leading-our-seed-round]. This indicates a strong backing from experienced investors who are likely to have a strategic influence on the company's direction.
Sources
We build tools for explorers - Deepnote
deepnote.com
Deepnote emerges from stealth with YC, Index & Accel leading our seed round
deepnote.com
Deep dive: why we built a new notebook format
deepnote.com
How Deepnote uses Deepnote
deepnote.com
Introducing Deepnote AI
deepnote.com
Research notes from agent developers — Deepnote
deepnote.com
How Deepnote uses Deepnote
deepnote.com
Full Stack Engineer
deepnote.com
Manifesto
deepnote.com
Platform Engineer
deepnote.com
Financials
Deepnote Financial Performance, Fundraising, M&A
While specific revenue figures are not publicly disclosed, Deepnote operates on a tiered pricing model, offering Free, Team, and Enterprise plans [deepnote.com/docs/pricing]. The Team plan is priced at $39 per editor/month when billed yearly, including features like unlimited viewers and notebooks, access to advanced AI models (GPT-5 and Sonnet 4.6), premium integrations, and significant compute credits for CPU and GPU usage [deepnote.com/pricing]. This structure suggests a focus on recurring revenue through subscriptions, catering to individual data professionals and teams alike.
Deepnote has achieved considerable market penetration, boasting a community of 500,000+ data professionals utilizing its platform [deepnote.com]. The company's enterprise offerings, including custom contracts and priority support, indicate its appeal to larger organizations that require robust security (SOC2 Type II compliant) and dedicated assistance [deepnote.com/enterprise].
Deepnote is also recognized as a Sample Vendor in the Gartner® Hype Cycle™ for Collaborative Analytics for 2025 and for Analytics and Business Intelligence for 2024, highlighting its growing influence in the analytics space [deepnote.com/solutions/bfsi, deepnote.com/enterprise]. This widespread adoption and industry recognition point to a healthy financial trajectory for the company.
Sources
Deepnote raises a $20M series A led by Accel & Index
deepnote.com
Deepnote emerges from stealth with YC, Index & Accel leading our seed round
deepnote.com
Deepnote
deepnote.com
Deepnote Pricing
deepnote.com
Plans and billing - Deepnote docs
deepnote.com
Finance AI notebooks for traders, quants, and risk teams - Deepnote
deepnote.com
Enterprise data science platform for secure, collaborative workflows
deepnote.com
Explore Deepnote
deepnote.com
How Deepnote uses Deepnote
deepnote.com
Your data team is already building a context layer. They just don't ...
deepnote.com
Partnerships
Deepnote Partnerships, Clients and Vendors
Gartner recognized Deepnote as an industry leader in the 2025 Market Guide for Augmented Analytics, underscoring its growing influence in the data analytics space.
Deepnote boasts extensive technology integrations to support various data workflows. It offers built-in connections to popular databases like PostgreSQL, MySQL, MongoDB, Microsoft SQL Server, Supabase, InfluxDB, and data warehouses such as Google BigQuery, Snowflake, and Amazon Redshift. For file storage and version control, Deepnote integrates with Amazon S3, Google Drive, Google Cloud Storage, and GitHub. Furthermore, it supports data processing tools like dbt, Google Dataproc, and container registries like Google GCR.
Deepnote actively fosters strategic partnerships within the cloud ecosystem. It has achieved Google Cloud Ready - BigQuery and Google Cloud Ready - AlloyDB designations, signifying its robust integration and ability to leverage Google Cloud for powerful and secure analytics. This collaboration extends to services like Google AlloyDB for PostgreSQL, Google Cloud SQL, and Google Spanner. Additionally, Deepnote is a Snowflake Select Technology Partner, enhancing SQL and Python workflows for joint users. The platform also integrates with Materialize to streamline real-time data processing and operational workflows, and with various collaboration tools like Slack, Notion, and Airtable.
Sources
Deepnote customers
deepnote.com
All integrations - Deepnote
deepnote.com
Integrations - Deepnote docs
deepnote.com
Deepnote Achieves Google Cloud Ready - BigQuery Designation
deepnote.com
Move fast and operationalize things with Deepnote & Materialize
deepnote.com
How a hedge fund enhanced collaboration & built knowledge with ...
deepnote.com
Bridging the exploratory analytics gap with Deepnote for Snowflake
deepnote.com
Database integrations
deepnote.com
Deepnote Achieves Google Cloud Ready - AlloyDB
deepnote.com
Google Cloud stack integrations
deepnote.com
Events
Deepnote Event Participations
Deepnote also collaborates on workshops, as evidenced by their support for events such as a beginner-friendly SQL Workshop organized by Data @ UCI. For this interactive event, Deepnote provided the platform, allowing participants to run SQL code notebook files in the cloud by creating accounts and copying workshop notebooks into their own Deepnote workspaces [deepnote.com/app/datauci/SQL-Workshop-Setup-Instructions-6d29e09b-8be5-4056-89f5-5bfda2de0cdf]. This highlights their role in facilitating hands-on learning experiences.
Beyond educational events, Deepnote hosts challenges to stimulate creativity and innovation within its user base. An example is the Deepnote x Streamlit data app challenge, which invited participants to build outstanding data apps using Streamlit within the Deepnote environment. The best applications from this challenge were featured on Deepnote's Explore page, providing recognition and visibility for creators [deepnote.com/app/deepnote/Deepnote-x-Streamlit-challenge-5c932eff-a979-47bd-a5ec-dbd7bcaa5f05].
Deepnote also seeks to raise awareness of its product and mission by participating in external forums. The company's strategy includes engaging at conferences, on podcasts, and through other channels to reach potential users [deepnote.com/app/deepnote/Data-Advocate-39a55089-05b5-4c31-b871-bc02befa2d68]. These outreach efforts are part of a broader commitment to building a pioneering product and understanding market needs, as reflected in their team's industry studies and exclusive reports [deepnote.com/research].
Sources
Deepnote's year in review: 2021
deepnote.com
SQL Workshop Setup Instructions
deepnote.com
Deepnote x Streamlit challenge
deepnote.com
Data Advocate
deepnote.com
Deepnote: Collaborative analytics & data science notebook
deepnote.com
Research notes from agent developers — Deepnote
deepnote.com
Welcome to Deepnote - Deepnote docs
deepnote.com
Deepnote AI data platform: Get contextual AI help with your data work
deepnote.com
Roadmap
deepnote.com
Codex for data analytics, powered by Deepnote
deepnote.com
Frequently Asked Questions
What strategic implications arise from Deepnote's recent hiring emphasis on AI and collaborative features?
Deepnote's active hiring for roles like Senior/Staff Product Designer - Notebook & AI interfaces, alongside Platform and Full-Stack Engineers, indicates a strong strategic focus on enhancing its AI capabilities and strengthening its core collaborative platform. This suggests an intent to innovate further in autonomous data agents and intuitive AI-powered data analysis, while simultaneously expanding its market reach through new product features and operational efficiency.
Given Deepnote's significant seed and Series A funding, what market position is the company aiming for?
Deepnote, having raised $3.8 million in a seed round and $20 million in Series A, led by investors like YC, Index Ventures, and Accel, is positioning itself as a leader in collaborative analytics and data science. The funding, coupled with its focus on an AI-first, Jupyter-compatible platform, suggests an aim to capture a substantial share of the market for data professionals who require advanced collaborative and AI-powered tools.
How does Deepnote's participation in external events and challenges contribute to its market strategy?
Deepnote's engagement in events like the Deepnote for Education conference, SQL workshops with Data @ UCI, and the Deepnote x Streamlit data app challenge is a strategic effort to expand its user base and foster community engagement. These initiatives build brand awareness, provide educational content, encourage product usage, and demonstrate the platform's utility for both learning and innovation, thereby solidifying its presence in the data science community.
What does Deepnote's open-source strategy imply for its competitive stance against proprietary platforms?
Deepnote's transition to an open-source model, while maintaining a tiered pricing structure, suggests a strategy to broaden its adoption and differentiate itself from proprietary alternatives. By offering an open-source, Jupyter-compatible experience, Deepnote aims to attract a wider community of data professionals and organizations who prioritize flexibility and transparency, potentially accelerating innovation and user contribution while still monetizing advanced features through its paid plans.
With Deepnote offering tailored enterprise solutions including SOC2 compliance, what does this signal about its target market and security posture?
Deepnote's provision of tailored enterprise solutions, including RBAC, SSO, SCIM user provisioning, and SOC2 Type II compliance, signals a strong focus on attracting large organizations and enterprises. This indicates the company is prioritizing robust security, governance, and scalable features to meet the stringent requirements of corporate clients, positioning itself as a reliable and secure platform for sensitive data workflows.
How do Deepnote's partnerships with Google Cloud and Snowflake impact its platform capabilities and market reach?
Deepnote's designations as Google Cloud Ready - BigQuery and AlloyDB, along with being a Snowflake Select Technology Partner, significantly enhance its platform capabilities and market reach. These partnerships ensure seamless integration with leading cloud data warehouses and databases, allowing Deepnote to offer robust, high-performance SQL and Python workflows for joint users and attracting a broader customer base leveraging these cloud ecosystems.
What is the strategic significance of Deepnote's Deepnote AI and AI superpowers features in a competitive landscape?
Deepnote's emphasis on Deepnote AI and 'AI superpowers' is a strategic move to differentiate itself in the competitive data science platform market, particularly against alternatives like Julius and Hex. By enabling users to query, analyze, and interpret data without extensive coding skills, Deepnote aims to broaden its appeal to a wider range of data professionals and enhance productivity, leveraging AI for a more accessible and efficient data analysis workflow.
What is the impact of Deepnote's EU representative in Prague on its European market strategy and talent acquisition?
Deepnote's establishment of an EU representative, Deepnote Czechia s.r.o. in Prague, alongside hiring for engineering roles primarily in Prague or remotely within Europe, indicates a strategic focus on the European market and talent pool. This move facilitates localized operations, strengthens its ability to attract diverse talent from the region, and supports its expansion efforts within the European data science community.
How does Deepnote's tiered pricing model, including a new 'Pro' plan for individuals, affect its market segmentation?
Deepnote's tiered pricing, including Free, Team, Enterprise, and the new individual 'Pro' plan, allows it to segment the market effectively. The 'Pro' plan, with unlimited AI for code generation and bug fixing, caters to individual data professionals seeking enhanced power and flexibility, while the Free and Team plans attract aspiring and collaborative teams, and the Enterprise plan targets large organizations with advanced security and deployment needs, ensuring broad market coverage.
What is Deepnote's competitive advantage over traditional Jupyter Notebooks, considering its positioning as an alternative?
Deepnote differentiates itself from traditional Jupyter Notebooks by offering an AI-first design, a modern user interface, new blocks, and native data integrations, all built for collaboration in the cloud. While Jupyter is open-source and widely used, Deepnote provides a more managed, team-oriented environment with AI-powered assistance and simple sharing, making it more suitable for complex, collaborative data science projects and enterprise workflows.
How does Deepnote's focus on industries like fintech, biotech, and gaming influence its product development priorities?
Deepnote's focus on industries such as fintech, biotechnology, and gaming indicates its product development priorities are geared towards addressing specific high-value use cases within these sectors. This includes capabilities relevant to ETL/ELT pipelines, fraud detection, churn analysis, and model training and serving, suggesting an emphasis on robust data processing, security, and advanced analytics features tailored to the unique demands of these industries.
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