Click Below to Get the Code

Browse, clone, and build from real-world templates powered by Harper.
News
GitHub Logo

HarperDB Studio Makes Real Time Analytics Accessible with No Coding Experience Required

HarperDB announces the availability of HarperDB Studio, offering an intuitive interface for end users, DBAs, and data scientists to access and share real-time data for analytics. It simplifies the data value chain and enables faster decision-making without third-party tools. Key features include search and graphing capabilities, schema management, security management, and advanced log management.
Announcement
News
Announcement

HarperDB Studio Makes Real Time Analytics Accessible with No Coding Experience Required

Harper
at Harper
May 14, 2018
Harper
at Harper
May 14, 2018
Harper
at Harper
May 14, 2018
May 14, 2018
HarperDB announces the availability of HarperDB Studio, offering an intuitive interface for end users, DBAs, and data scientists to access and share real-time data for analytics. It simplifies the data value chain and enables faster decision-making without third-party tools. Key features include search and graphing capabilities, schema management, security management, and advanced log management.
Harper

HarperDB, an enterprise class database company, today at IoT World, announced the availability of HarperDB Studio to bring the power of the HarperDB database solution to end users, DBAs, and data scientists. Designed with an intuitive interface, HarperDB Studio allows organizational roles across the company gain access and share real-time data for advanced analytics and reporting.

Gaining actionable insights into real time data is becoming increasingly complicated for developers and end users alike. To meet the demands of today's workforce, HarperDB Studio provides an easy-to-use interface for both data scientists and administrative users to access actionable insights for faster, better decision-making. Without the need of extra third party business intelligence tools, HarperDB Studio shortens the data value chain, reduces cost and complexity and makes real time analytics achievable and accessible.

"With the release of the HarperDB studio, we are providing tools that the industry expects while at the same time taking it a step further and including analytical capabilities to shorten the data value chain and provide accessible, real-time actionability on big data for IoT and HTAP use cases," said HarperDB CEO Stephen Goldberg.

Key features include:

Search & Graphing Capability: Quickly turn SQL or filter searches into live graphs and charts which can be shared with business end users through web links.

Schema Management: Visualize the Dynamic HarperDB schema, manage schemas, tables, and attributes. Developers, DBAs, and Data Scientists can make sense out of unstructured data in real-time gaining clear insight into their data value chain.

Security Management: Manage users, roles, and access. Control field level security.

Advanced Log Management: Gain access to HarperDB logs for easy management and searching capability without code.

Availability

HarperDB Studio is an open source project publicly available on May 15 on GitHub and can also be downloaded here. For those looking to tackle larger scale projects, HarperDB offers an enterprise edition which includes clustering and analytics drivers. Contact HarperDB at sales@HarperDB.io for the enterprise edition.

Come check out HarperDB demoing HarperDB Studio at IoT World, booth # 1146.

About HarperDB

HarperDB was founded to deliver a simple solution that could be used by any developer of any skill level without sacrificing scale or performance. The HarperDB database solution is being used for IoT project development, app development and enterprise data warehouses. Founded in 2017 and headquartered in Denver, HarperDB's founding team has spent many years working in enterprise architecture, software integration, software development, and software sales.

HarperDB, an enterprise class database company, today at IoT World, announced the availability of HarperDB Studio to bring the power of the HarperDB database solution to end users, DBAs, and data scientists. Designed with an intuitive interface, HarperDB Studio allows organizational roles across the company gain access and share real-time data for advanced analytics and reporting.

Gaining actionable insights into real time data is becoming increasingly complicated for developers and end users alike. To meet the demands of today's workforce, HarperDB Studio provides an easy-to-use interface for both data scientists and administrative users to access actionable insights for faster, better decision-making. Without the need of extra third party business intelligence tools, HarperDB Studio shortens the data value chain, reduces cost and complexity and makes real time analytics achievable and accessible.

"With the release of the HarperDB studio, we are providing tools that the industry expects while at the same time taking it a step further and including analytical capabilities to shorten the data value chain and provide accessible, real-time actionability on big data for IoT and HTAP use cases," said HarperDB CEO Stephen Goldberg.

Key features include:

Search & Graphing Capability: Quickly turn SQL or filter searches into live graphs and charts which can be shared with business end users through web links.

Schema Management: Visualize the Dynamic HarperDB schema, manage schemas, tables, and attributes. Developers, DBAs, and Data Scientists can make sense out of unstructured data in real-time gaining clear insight into their data value chain.

Security Management: Manage users, roles, and access. Control field level security.

Advanced Log Management: Gain access to HarperDB logs for easy management and searching capability without code.

Availability

HarperDB Studio is an open source project publicly available on May 15 on GitHub and can also be downloaded here. For those looking to tackle larger scale projects, HarperDB offers an enterprise edition which includes clustering and analytics drivers. Contact HarperDB at sales@HarperDB.io for the enterprise edition.

Come check out HarperDB demoing HarperDB Studio at IoT World, booth # 1146.

About HarperDB

HarperDB was founded to deliver a simple solution that could be used by any developer of any skill level without sacrificing scale or performance. The HarperDB database solution is being used for IoT project development, app development and enterprise data warehouses. Founded in 2017 and headquartered in Denver, HarperDB's founding team has spent many years working in enterprise architecture, software integration, software development, and software sales.

HarperDB announces the availability of HarperDB Studio, offering an intuitive interface for end users, DBAs, and data scientists to access and share real-time data for analytics. It simplifies the data value chain and enables faster decision-making without third-party tools. Key features include search and graphing capabilities, schema management, security management, and advanced log management.

Download

White arrow pointing right
HarperDB announces the availability of HarperDB Studio, offering an intuitive interface for end users, DBAs, and data scientists to access and share real-time data for analytics. It simplifies the data value chain and enables faster decision-making without third-party tools. Key features include search and graphing capabilities, schema management, security management, and advanced log management.

Download

White arrow pointing right
HarperDB announces the availability of HarperDB Studio, offering an intuitive interface for end users, DBAs, and data scientists to access and share real-time data for analytics. It simplifies the data value chain and enables faster decision-making without third-party tools. Key features include search and graphing capabilities, schema management, security management, and advanced log management.

Download

White arrow pointing right

Explore Recent Resources

Livestream
GitHub Logo

1.5 Hour Build - Vibe Coding a Full Personal Site: Design to Deployment in One Session

Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Livestream
Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Person with short hair wearing a light blue patterned shirt, smiling widely outdoors with blurred greenery and trees in the background.
Austin Akers
Head of Developer Relations
Livestream

1.5 Hour Build - Vibe Coding a Full Personal Site: Design to Deployment in One Session

Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Austin Akers
May 2026
Livestream

1.5 Hour Build - Vibe Coding a Full Personal Site: Design to Deployment in One Session

Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Austin Akers
Livestream

1.5 Hour Build - Vibe Coding a Full Personal Site: Design to Deployment in One Session

Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Austin Akers
Blog
GitHub Logo

The Old Product Loop Is the New Bottleneck

AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Blog
AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Person with short dark hair and moustache, wearing a colorful plaid shirt, smiling outdoors in a forested mountain landscape.
Aleks Haugom
Senior Manager of GTM
Blog

The Old Product Loop Is the New Bottleneck

AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Aleks Haugom
May 2026
Blog

The Old Product Loop Is the New Bottleneck

AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Aleks Haugom
Blog

The Old Product Loop Is the New Bottleneck

AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Aleks Haugom
Livestream
GitHub Logo

2 Hour Build - Live Stream for Non-Developers

A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Livestream
A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Person with short dark hair and moustache, wearing a colorful plaid shirt, smiling outdoors in a forested mountain landscape.
Aleks Haugom
Senior Manager of GTM
Livestream

2 Hour Build - Live Stream for Non-Developers

A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Aleks Haugom
May 2026
Livestream

2 Hour Build - Live Stream for Non-Developers

A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Aleks Haugom
Livestream

2 Hour Build - Live Stream for Non-Developers

A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Aleks Haugom
Tutorial
GitHub Logo

Production Quality at Vibe Code Velocity: Dispatched Agent Teams with Harper

Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Tutorial
Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Person with very short hair and a goatee wearing a plaid button‑up shirt over a white undershirt, smiling outdoors with leafy greenery behind.
Jeff Darnton
SVP, Professional Services & Customer Success
Tutorial

Production Quality at Vibe Code Velocity: Dispatched Agent Teams with Harper

Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Jeff Darnton
May 2026
Tutorial

Production Quality at Vibe Code Velocity: Dispatched Agent Teams with Harper

Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Jeff Darnton
Tutorial

Production Quality at Vibe Code Velocity: Dispatched Agent Teams with Harper

Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Jeff Darnton
Tutorial
GitHub Logo

Change Data Capture Into a Runtime: One Pipeline for Pages, Search, and AI Agents

Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Tutorial
Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Person with very short hair and a goatee wearing a plaid button‑up shirt over a white undershirt, smiling outdoors with leafy greenery behind.
Jeff Darnton
SVP, Professional Services & Customer Success
Tutorial

Change Data Capture Into a Runtime: One Pipeline for Pages, Search, and AI Agents

Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Jeff Darnton
May 2026
Tutorial

Change Data Capture Into a Runtime: One Pipeline for Pages, Search, and AI Agents

Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Jeff Darnton
Tutorial

Change Data Capture Into a Runtime: One Pipeline for Pages, Search, and AI Agents

Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Jeff Darnton