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TblFlow

データベース・アプリ・ワークフロー・AIエージェント

チームのためのモダンなデータベースUI

必要なことを伝えるだけ。AIエージェントと自動化が残りを処理します。本物のPostgreSQL上で、フルマネージドでも自社サーバーでも。

無料ではじめる
行/ベース
数百万
ビュータイプ
6
フィールドタイプ
28
で開始
5分
  • Describe what you need
  • Data schema
  • Linked tables
  • Interfaces
  • Automations
  • AI agents
  • Published on your domain

Generation pipeline

From a need to an app, in one conversation

Data moves from stage to stage: every proposal is approved before the next one starts.

01

Analysis

02

Blueprint

03

Tables

04

Relations

05

Interface

06

Automations

07

AI agents

This is really TblFlow

Not mockups: screenshots of the real interface, with real data.

A contacts table, with its fields and statuses, straight from the grid.
A contacts table, with its fields and statuses, straight from the grid.
A base's relational schema, generated and editable, with the AI assistant alongside.
A base's relational schema, generated and editable, with the AI assistant alongside.

概要

ひとつのプラットフォーム、6つの機能面

構造化されたデータが、プラットフォームを離れることなく動くソフトウェアになります。

Works with the models you already use

Cloud or local, connected with your own API keys — no provider lock-in.

同じテーブルを見る6つの方法

データを一行も複製せずにビューを切り替えられます。

  • Grid

    General-purpose spreadsheet browsing and editing

  • Kanban

    Status-based workflows, project boards

  • Gallery

    Image-heavy records, visual catalogs

  • Calendar

    Date-driven data, scheduling

  • Gantt

    Project timelines, dependencies, critical path

  • Form

    Collecting input from external users, via public URL

TblFlowが選ばれる理由

他のツールにはできないこと。

比較

ツールごとの詳細な比較。検証可能な基準と、他社製品が優れているケースも掲載。

すべての比較を見る

料金

無料ではじめて、チームの成長に合わせてプランを変更できます。

よくある質問

よくいただく質問をまとめました。

  • What is TblFlow?

    TblFlow is a no-code database platform that puts a spreadsheet-like interface over a real PostgreSQL database. Teams use it to build tables, interfaces and dashboards, automations, a document library with semantic search, and autonomous AI agents — all on the same data. TblFlow is available as a managed service at tblflow.com and as a self-hosted deployment.

  • How is TblFlow different from Airtable?

    TblFlow differs from Airtable in four ways. First, data lives in a real PostgreSQL database you can query with SQL from any client, whereas Airtable exposes no SQL access. Second, TblFlow includes autonomous AI agents that act on your data and connected services, which Airtable does not have. Third, it adds semantic search over a document library. Fourth, TblFlow can be self-hosted on your own infrastructure, which Airtable does not offer.

  • What view types does TblFlow offer?

    TblFlow offers seven view types on any table, without duplicating data: Grid, Kanban, Gallery, Calendar, Gantt, Form and Plugin. The Gantt view handles project timelines, task dependencies and the critical path. The Form view generates a public URL for collecting data from people outside your team.

  • What can TblFlow AI agents do?

    TblFlow agents are autonomous: they have a planner, an executor, persistent memory as an entity/relation graph, and a scheduler. They read and write your records, query your document library as context, and act on connected services — Gmail, GitHub, Slack, Google Calendar, Drive and Meet. You can also give them custom tools generated from any OpenAPI specification, or write your own sandboxed JavaScript tools.

  • How much does TblFlow cost?

    TblFlow Cloud has four tiers. The Free tier covers 1 base and 1 user. The Pro tier is $29 per month and covers 5 bases and 3 users. The Business tier is $99 per month and covers 30 bases and 10 users. The Enterprise tier is quote-based, removes every limit, and also covers deployment on your own infrastructure or in a dedicated VPC.

  • Does TblFlow have a free plan?

    Yes. TblFlow Cloud has a permanent Free tier with 1 base, 1 user, 1 GB of storage and unlimited AI agents, automations and API requests, with no credit card. Deploying on your own infrastructure is part of the Enterprise tier, on quote.

  • What database does TblFlow use?

    TblFlow uses PostgreSQL, with the pgvector extension for semantic search and Redis for caching and background job queues. Every table you create in TblFlow is a real physical PostgreSQL table, not a row in a generic store — which is why you can query your data directly with SQL.

  • Does TblFlow have an API?

    Yes. TblFlow exposes a REST API documented by an OpenAPI specification, with token authentication. A JavaScript API is also injected into apps published through the App Builder, so your own code can read and write records.

  • Which AI providers does TblFlow support?

    TblFlow supports OpenAI, Anthropic, Google Gemini, Azure OpenAI, DeepSeek, Mistral, Groq, Cohere, any OpenAI-compatible endpoint, and local models through Ollama and LM Studio. Providers and models are configured per base, using your own API keys.

  • How many rows can TblFlow handle?

    TblFlow filters, sorts, groups and searches across millions of rows with sub-second response times: the grid renders to canvas and only redraws the visible region, so display performance does not degrade as row count grows. Rows per table, however, do depend on your tier: 5,000 on the Free tier, up to 1,000,000 on Business, unlimited on Enterprise — see the pricing page for the full breakdown.

  • Where is my data stored?

    It depends on the deployment. On TblFlow Cloud, your data sits in TblFlow-managed infrastructure. Self-hosted or on dedicated Enterprise, it sits in your own PostgreSQL, on your infrastructure or in a dedicated VPC — TblFlow has no access to it. In both cases the data is stored in standard PostgreSQL, with no proprietary format.

  • Can I export my data and leave?

    Yes, and with no conversion step. Your data already lives in standard PostgreSQL tables, so a `pg_dump` is enough and it imports into any Postgres. There is no proprietary format to convert and no sync layer to unpick. That is what "no vendor lock-in" means on this site.

  • Is TblFlow GDPR compliant?

    TblFlow is built for GDPR-compliant use and provides an audit log, revision history, granular permissions and consent management. Self-hosted or on dedicated Enterprise, you fully control data location, which simplifies compliance for organisations with data-residency requirements.

データをソフトウェアに変える準備はできましたか?

数分で最初のベースを作成できます。