7 best AI-powered database software in 2026

It’s no secret that spreadsheets don’t scale. They’re great for getting started—but as your business grows, they quickly turn into a source of friction. Duplicate files. Broken formulas. Version confusion. And data that falls apart the moment multiple people need to collaborate.

That’s where no-code databases come in. They replace spreadsheets with structured, relational databases that let you organize data properly, connect related records across tables, and work from a single source of truth—without writing a line of code.

Today, the best no-code databases go a step further by layering in AI. These AI-powered databases make it faster to build schemas, enrich and analyze data, and automate workflows that would otherwise require technical setup.

The challenge is that “AI-powered database” means different things across platforms. In this guide, we’ll break down the AI features that genuinely save time, explain which tools work best for non-technical teams versus developers, and help you choose an AI-powered database that fits your team’s needs.

What makes a database AI-powered?

AI-powered databases combine traditional data storage with AI features that help teams structure, analyze, and automate their data workflows, making it easier to manage complex data without heavy technical work. They typically include three or four fundamental layers:

• AI database building: Co-builders that help you create databases from scratch by describing what you want. AI generates tables, fields, and relationships so you don’t start from a blank canvas.
• AI agents inside the database: Database agents that work directly on your data, automatically enriching records by searching the web, cleaning messy fields, categorizing entries, and generating content without manual effort.
• Ask AI and natural-language querying: Built-in AI that lets users ask questions about their data on top of interfaces (like customer portals or dashboards), create filters or formulas, and surface insights instantly, without building reports or learning database syntax.
• Workflow automation that brings AI into your database: When a database record meets certain conditions, workflows should be able to pull in data from external sources (like Google Drive or email), use AI to process it (for example, summarize documents), and write the results back into the same database record—keeping everything connected in one system.

Here are five ways AI databases save you time:

1. Generate entire databases from a description. Instead of manually creating tables, fields, and relationships for a new client portal or project tracker, describe what you need (like "applicant tracking system for our recruiting team") and AI builds the complete structure.
2. Extract data from documents at scale. Upload invoices and AI automatically pulls dates, amounts, vendor names, and line items into structured fields
3. Enrich records with web research. When a new contact fills out a form, you can design AI agents that automatically pull in company details like industry, employee count, and location.
4. Write complex filters and formulas in plain language. Instead of learning database syntax, ask for "all overdue invoices over $5,000 from Q3 clients in California" or "calculate days until contract renewal with a 30-day warning flag."
5. Categorize and route incoming requests automatically. AI reads support tickets, maintenance requests, or applicant inquiries and tags them by type, urgency, or department.

Best AI-powered database software at a glance

1. Softr Databases — best for flexible, AI-powered data management

Softr Databases offers a spreadsheet-style interface with the structure and control ops teams need: link records across tables, create custom views for each workflow, and manage permissions for who can see or edit what. You can use it as a standalone data hub or as the backend to power full-stack business apps like CRMs, client portals, or internal tools.

To get started faster, Softr includes an AI Database co-builder. Describe your use case in plain English and AI instantly creates the database structure for you, including tables, fields, and relationships.

Once your database is set up, AI Agents work directly inside fields to automatically clean, enrich, categorize, and summarize data as it’s added or updated. Softr also uses AI to generate filters and formulas, making advanced database logic accessible to non-technical teams.

Softr Databases pros and cons

Pros

• AI Agents that actively work on data, help write formulas filter data
• Use AI to create tables, fields, and relationships, then refine them by adding new tables, updating select options, and generating placeholder or real records directly into the database.
• Full-stack solution that includes databases, interfaces, and automation
• Built for both internal tools and external client portals
• Transparent pricing with no per-seat billing
• Fast performance, even with large databases

Cons

• Built for business users and teams rather than developers

Softr Databases best features

• Flexible field types: Structure your data with formulas, lookups, select and multi-select fields, attachments, and more—giving you the flexibility to model real-world data exactly how you need.
  
• Relational tables with linked records: Connect tables to model relationships between data (like customers, projects, and tasks) and keep everything in sync.
  
• AI-assisted database actions: Use natural language to write formulas and filters, edit database structure (like adding tables or fields), and update schema elements such as select-field values.
  
• AI database generator: Create complete database schemas from a prompt, including tables, fields, relationships, and optional placeholder or real records.
  
• Database AI agents: Automatically write, clean, enrich, categorize, and summarize records directly inside database fields.
  
• Workflow automation with AI: Trigger workflows when records meet specific conditions, pull in data from emails, documents, or APIs, use AI to process it, and write results back into the same database record.
  
• Full-stack app building: Turn your database into client portals, CRMs, project trackers, or inventory systems. Connect existing data sources or use Softr Databases.
  
• Built for internal tools and external portals: Create secure internal apps or branded client-facing experiences with granular permissions and access controls.
  
• Transparent pricing that scales: No per-seat fees, making it cost-effective as teams, databases, and portals grow.
  
• Fast performance at scale: Work smoothly with large datasets, complex views, and high-traffic apps without sacrificing speed.

Pricing

• Free: Up to 5,000 records per workspace; includes AI features and 500 AI credits
• Starter: $49/month for 20 users and 50,000 records per workspace
• Professional: $139/month for 100 users and 500,000 records per workspace
• Business: $269/month for 500 users and 1M records per workspace
• Enterprise: Custom pricing available

👉 Start with a free plan to test how Softr Databases transform your workflow, or browse templates to launch in minutes.

2. Airtable — best for giving you the benefits of both spreadsheets and databases

Airtable is a spreadsheet-database hybrid used by 500,000+ organizations. In recent years it's expanded beyond databases and now offers automations, interfaces, AI app building, and AI agents.

 Anyone can easily spin up databases and interfaces using Airtable's Omni conversational AI assistant, which lets you describe what you need in natural language. You can also use agents to dynamically gather information, perform analysis, or generate data. For example, Airtable's document extraction agents are a powerful way to turn PDFs into structured data at scale.

With its per-user pricing model, Airtable gets pricey fast if you need to allow lots of collaborators to modify records. It's best-suited for internal use: there's no white label option for interfaces and no native mobile app capabilities, and adding Portals (for external collaboration) requires a $120/month add-on.

👉 If you already manage your data in Airtable, Softr lets you build branded client portals and internal tools on top of your Airtable bases with granular permissions and mobile access (and no additional per-seat costs).

Airtable pros and cons

Pros

• Audit logs, complex field types, and advanced schema management
• Powerful AI capabilities including document extraction, content generation, and AI agents
• More native connections than most database platforms (1,000+ integrations)

Cons

• Per-seat pricing gets expensive quickly
• Performance can degrade with larger bases
• Portals are charged as an add-on starting at $120/month for 15 guests
• Interface builder doesn't offer much control over design, layout, or branding

Airtable best features

• AI-powered document processing: Extract data from PDFs, generate summaries, and automate content tagging without manual data entry.
• Natural language database building: Use Airtable Omni to describe what you need and AI creates views and interfaces automatically.
• AI Agents for analysis: Get answers to questions across your data, automate categorization, and surface insights without building complex queries.
• Robust automation builder: Create multi-step workflows that trigger actions across tables and connected tools.
• Enterprise-grade database features: Audit logs, governance controls, and advanced schema management for teams that prioritize compliance.
• Extensive integration ecosystem: Connect with Slack, Gmail, Salesforce, Shopify, and 1,000+ other tools via native integrations or Zapier.

Pricing

• Free: 500 AI credits per editor monthly, 1,000 records per base
• Team: $20/user/month, 15,000 AI credits per user monthly, 50,000 records per base
• Business: $45/user/month, 20,000 AI credits per user monthly, advanced admin controls
• Enterprise: Custom pricing, 25,000 AI credits per user monthly

👉 See Softr vs. Airtable for a detailed comparison.

3. Notion — best for AI writing and lightweight databases within an all-in-one workspace

Notion is an all-in-one workspace that creates a cohesive "operating system" for individuals and organizations. If your work includes lots of writing, notes, tasks, or an internal wiki, Notion lets you put all of those in one central place and collaborate with your team.

Notion AI can create dashboards from scratch, translate docs, generate long-form content, and search for information across your workspace. You can autofill your database with AI-generated summaries and insights, but don't expect advanced AI database features. While Notion AI can create new databases, it can't edit existing ones or generate automations, forms, or charts, and it doesn't yet offer agents (though that feature is expected soon).

If your team already uses Notion, or if you're looking for a lightweight, easy-to-use documentation or project management tool, it's a great option. If you're doing more data-heavy work, need lots of AI enrichment options, or rely on external portals, a dedicated database platform is a better bet.

Notion pros and cons

Pros

• AI writing assistant can generate content from your database entries and documents
• Ask questions and Notion will look across your entire workspace to find answers
• Automatically populate database properties using AI autofill
• Embed databases directly into documents

Cons

• Limited options for database enrichment and automation
• Lightweight database functionality compared to dedicated database platforms
• Performance can degrade with larger databases (over 10,000 records)
• Can't build external-facing portals or client-facing applications

Notion best features

• AI writing assistant: Generate summaries, meeting notes, and content automatically from database entries and documents.
• Natural language data queries: Ask questions about your data in plain English and get instant answers.
• Inline databases: Embed databases directly in documents to keep related information together without tool switching.
• AI autofill for properties: Automatically populate database fields based on content and context.
• Relations and rollups: Connect databases and calculate aggregated values across linked records.
• Template generation: Describe what you need and let AI create database and document templates.

Pricing

• Free: Individual workspace with basic databases
• Plus: $10/user/month for collaborative team environment
• Business: $20/user/month, includes Notion AI
• Enterprise: Custom pricing, includes Notion AI

👉 You can turn your Notion databases into custom portals and apps using Softr's Notion integration.

4. Baserow — best for open-source database control with self-hosting options

Baserow is an open-source no-code database platform with the option to self-host, which offers greater customization since developers can modify the codebase. Self-hosting also makes Baserow an attractive option for healthcare, financial services, and other organizations that manage sensitive data and want to host everything on-site. (You can use Baserow's cloud version if you don't want to deal with the hassles that come with self-hosting.)

After starting as purely a database product, Baserow has evolved into a fuller no-code platform in recent years and now includes an app builder, automations, and dashboards. Baserow AI is useful but not especially advanced: you can generate descriptions, extract and classify data, build apps, and generate formulas, but it's missing features like AI agents.

Baserow pros and cons

Pros

• Option to self-host on your own infrastructure for data ownership and compliance
• Open-source codebase means no limits on customization
• AI field suggestions and formula generation

Cons

• Self-hosting requires DevOps skills and ongoing maintenance
• AI database features are fairly basic (no AI agents)
• App builder offers limited design freedom

Baserow best features

• Self-hosting option: Deploy on your own infrastructure for complete data control and compliance with strict privacy regulations.
• AI field suggestions: Get intelligent recommendations when creating tables and structuring your database.
• AI formula builder: Build complex calculations with natural language descriptions instead of learning formula syntax.
• Beginner-friendly interface: Minimal learning curve with familiar spreadsheet-style UI and linked records.
• Smart filters and views: AI recognizes patterns in your data to suggest relevant filters and organizational structures.
• API-first design: RESTful API and webhooks make it easy to integrate with other tools and build custom solutions.

Pricing

Cloud:

• Free: 3,000 rows per workspace, AI assistant and agent node included
• Premium: $10/user/month, 50,000 rows per workspace, all AI features
• Advanced: $18/user/month, 250,000 rows per workspace, all AI features

Self-hosted:

No restrictions on databases, rows, or storage for self-hosted plans.

• Free: Limited views and AI features
• Premium: $10/month per user, includes AI features
• Advanced: $18/month per user, includes AI features, advanced permissions

5. Supabase — best for developers building applications with PostgreSQL and AI features

Supabase is a Postgres development platform that provides database, authentication, storage, and real-time features for building applications. It's built for developers looking for a scalable, portable all-in-one platform.

The Supabase Dashboard includes a built-in AI assistant that can automate tasks, generate SQL queries, analyze errors, and provide recommendations. Still, Supabase's AI features are intended to make life easier for developers and don't make databases and apps simple enough for non-technical users. 

If you're a developer building custom applications, Supabase gives you all the tools and infrastructure you need and a free plan that supports up to 50,000 monthly users.

Supabase pros and cons

Pros

• 100% portable Postgres database with authentication, storage, and real-time data synchronization
• AI assistant that generates SQL queries, debugs errors, and uncovers data insights
• Free tier supports a 500MB database and 50K monthly active users

Cons

• Requires coding skills and database knowledge
• Built for developers creating applications, not business users
• Overkill for straightforward business needs like CRM or project tracking

Supabase best features

• AI schema generation: You can generate full database structures using natural language.
• AI SQL editor: Type what you want and Supabase turns it into real database queries.
• Full PostgreSQL database: Advanced features including triggers, functions, custom types, and extensions that go beyond basic databases.
• Real-time data subscriptions: Your apps can instantly refresh for all users whenever data changes (important for apps like live dashboards, collaboration tools, and shared docs).
• Built-in authentication: Supabase comes with user login, sign-up, email verification, social logins, and permissions out of the box.

Pricing

• Free: 500MB database, 50K monthly active users
• Pro: $25/month per project, 8GB database, 100K monthly active users, daily backups
• Team: $599/month, adds SSO and SOC 2 compliance, extended API retention
• Enterprise: Custom pricing with SLAs, VPC support, audit logs

👉 Using Softr, you can turn your Supabase data into frontend apps for your clients or team.

6. Retool Database — best for technical teams building internal tools

Retool Database is a managed PostgreSQL database built specifically for Retool's internal tool platform. It's designed for technical teams that already use Retool to build admin panels, dashboards, and operational tools, with a spreadsheet-style view that's more accessible than most products aimed at developers.

Retool's broader platform includes AI agents, smart workflows, intelligent routing, and internal search tools. However, the database is limited to AI-assisted query writing and doesn't offer field agents that can autonomously handle cell-level tasks like enrichment or tagging. Retool Database supports multiple environments (development, staging, production) with automatic query refresh when you switch between them.

If you have a team of developers and are building internal tools that need to connect multiple data sources simultaneously, Retool might make sense. However, it's limited to 1,000 queries per minute across your entire organization and requires technical expertise to use effectively. And you'll need to layer another platform on top of Retool to build polished external-facing apps.

Retool Database pros and cons

Pros

• Deep customization with JavaScript and SQL for building complex internal dashboards
• Connects to 70+ databases and APIs for technical teams managing multiple data sources
• Advanced developer features like source control, audit logs, and version control
• Seamless integration if you're already using Retool's platform

Cons

• Not accessible for non-technical teams since it requires SQL and JavaScript knowledge
• Focused on internal-facing tools; not designed for external client portals
• No Field Agents for data enrichment (only Agents for the broader Retool ecosystem)

Retool Database best features

• AI query writing: Use built-in AI tools to write JavaScript and SQL queries
• Seamless integration with Retool: If you Connect to internal apps instantly without separate configuration
• Spreadsheet-style interface: Visually manage data like a spreadsheet while maintaining PostgreSQL power
• GUI and SQL modes: Choose between writing raw SQL or using a graphical interface
• Environment switching: Seamlessly move between development, staging, and production

Pricing

• Free: Up to five users and 500 workflow runs per month
• Team: $10/month per user for 5,000 workflow runs per month; additional $5/month per end user
• Business: $50/month per user, advanced admin controls; additional $15/month per end user
• Enterprise: Custom pricing

👉 Check out our full Softr vs Retool comparison for a more detailed breakdown.

7. Stackby — best for marketing teams and campaign tracking

Stackby is a spreadsheet-style database built for marketers, agencies, and operations teams managing campaigns. With integrations like YouTube Analytics, Google Pagespeed, Facebook Ads, and SEMRush, it offers a convenient ecosystem for marketers consolidating reporting data.

You can create AI-powered "stacks" (databases) with AI Field Agents that generate social captions and ad copy, categorize audience feedback, and analyze campaign documents. Stackby offers also multiple views (grid, Kanban, calendar, gallery) and pre-built templates for CRM, social media planning, and project tracking. Stackby's spreadsheet-style interface is accessible for beginners, and it offers an affordable entry price at $8/month per user.

If you want AI features, you'll need the Business plan at $16/month per user. And Stackby is primarily designed for internal use rather than external apps like client portals. 

Stackby pros and cons

Pros

• Column-level API connectors provide live data updates
• AI Field Agents generate content, categorize data, and analyze documents
• Accessible spreadsheet-style interface
• Affordable pricing for small teams

Cons

• Limited permissions and roles
• No AI features unless you upgrade to the Business plan
• Designed primarily for internal workflows, not external-facing portals

Stackby best features

• AI data enrichment: Automatically populate company information, social profiles, and contact details for leads and prospects.
• Smart linking between records: AI suggests logical connections between records.
• AI formula suggestions: Get intelligent recommendations for calculations without learning formula syntax.
• 45+ integrations: Connect with Slack, Gmail, Trello, and other tools.
• Automated categorization: AI tags and organizes records based on content and patterns.
• Multiple view types: Visualize data using grid, Kanban, calendar, and gallery views.

Pricing

• Free plan: 5 users and 50 read-only guests; no AI features
• Economy: $8/month per user, no AI features
• Business: $16/month per user, includes all AI features
• Pro: $25/month per user, includes AI features and admin controls
• Enterprise: Custom pricing

Choosing the right AI-powered database for your team

The biggest difference between AI databases is whether the database is just a place to store data — or whether it directly powers the apps your team actually uses.

Before choosing a platform, consider:

• Will your database live behind other tools, or will it be the foundation of your internal tools and client-facing portals?
• Do you need fine-grained control over layouts, permissions, and experiences for different users?
• Do you want to assemble multiple tools — or work in a single system where data and apps are tightly connected?
• How well does pricing scale as more users interact with your apps?

Developer-first platforms like Supabase or Retool treat the database as infrastructure. Airtable allows apps on top of data, but is often limited when teams need deeper personalization, granular user experiences, or predictable pricing at scale. Baserow focuses on hosting and compliance rather than app experience.

Softr is built around the idea that databases should directly power apps. Its databases are natively connected to the Softr app builder, so teams can create modern, highly personalized internal tools and external portals without connecting multiple products. Instead of managing an isolated database, teams work in apps tailored to each user — with granular permissions, flexible layouts, and pricing that scales as usage grows.

Try Softr for free to build an AI-powered database in minutes, or get started with one of our templates.