Taibles vs. n8n

Is Taibles the right n8n alternative for your team?

Taibles and n8n automate processes and connect your business systems. In Taibles, you manage processing in a table: your team sees inputs, results and the status of each step, fills in missing information and reruns individual steps.

Use the AI assistant to analyze the collected results and turn them into reports and dashboards.

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Example: processing customer requestsMatch a request to a customer, process it and prepare a response.

Animated demo · sample data

Customer Service

Answer support tickets from the knowledge base

An example using fictional data: the table shows each request being processed. If the customer match is missing, a person supplies it and processing continues.

How does Taibles differ from n8n?

Both products offer automation, integrations, AI and stored data. They differ in how your team sets up processes, reviews results and handles errors.

n8n

Build workflows in a visual editor.

Connect steps, branches and integrations in the workflow editor. Execution history shows results and errors. Store and process data in n8n Data Tables or external databases.

Taibles

Set up and manage automations in tables.

Each row holds a case and each column a processing step. Your team sees inputs, results and errors directly in the table, corrects entries and reruns individual steps. The assistant can analyze the collected results.

How your team works with automated processes

See inputs, results and errors in one table.

Whether you are handling a customer request, researching a company or processing a document, Taibles shows each case with its inputs and results. Filter the table to see which steps are complete and which still need attention.

In the customer service example, the request, customer match and draft response appear in the same row.

Fill in missing information and rerun individual steps.

Your team corrects an entry directly in the affected row and reruns the necessary steps. There is no separate input-editing interface to open.

In the demo, a person matches the request to the right customer. Processing then continues.

Ask AI about the saved results.

Results stay saved in Taibles. Your team can ask the assistant about them and create reports and dashboards from the same data. The next analysis starts with the records already available.

For example, in customer service: “Which requests occur most often, and which ones still need a response?”

Compare features, deployment and costs

Data & everyday work

Data & everyday work: Taibles vs. n8n
Feature or requirement	n8n	Taibles
Keep results available	Yes. n8n Data Tables retain data after a workflow execution. Edit it in the interface, in workflows or through the API. [1]	Yes. Results remain in tables where your team can edit them and use them in further automations, AI questions and analyses.
Review errors and resume processing	Execution history with status filters and retries for failed workflows. Records can also be edited in Data Tables. [1][2]	Your team reviews the error in the affected row, corrects the data and reruns the necessary steps.
Ask AI about results	Yes. Chat Hub provides models and workflow agents. Configure data access through connected tools. [3]	Yes. The assistant accesses saved results and shared metric definitions. Ask questions about the data and create reports.
Store data and use external databases	Data Tables target light to moderate storage: 200 MiB per instance by default, configurable when self-hosted. External databases are another option. [1]	Results can be stored in Taibles tables. The assistant can also query connected databases, so you do not need to copy all the data.

Building & extending

Building & extending: Taibles vs. n8n
Feature or requirement	n8n	Taibles
Build automations	Visual workflows with triggers, branches, integrations and AI steps. [4]	Configure processing steps in tables, with results, approvals and retries accessible there. Tasks performed by an assistant can also be set up as recurring processes.
Use OpenAI and other models	Yes. Connect models in AI workflows and Chat Hub. [3]	Yes. External providers and suitable local models are supported. The assistant uses models provided by Uniki by default.
Connect systems through APIs and custom tools	Integrations and HTTP access, with custom logic through the Code node. [5]	Integrations and custom tools connect business systems to assistants and automations. Custom connections add data access and actions.
Add approvals and human review	Workflows can wait for human input and then resume. [6]	Choose which steps need review or approval. Colleagues review the data and approve the step directly in the table.

Deployment & costs

Deployment & costs: Taibles vs. n8n
Feature or requirement	n8n	Taibles
Run on your own servers	Yes. Self-hosting is available. The AI Starter Kit provides a starting point with local AI components. [7]	Yes, with no minimum seat count. Use existing infrastructure or an ELLY AI server from Uniki, which can also run models locally.
License and additional costs	Paid plans charge by workflow executions. Model providers, additional services and self-managed operation can add costs. [8]	A Taibles license; local deployment may require additional infrastructure. ELLY AI hardware is priced separately from the license.
Sign-in and access permissions	Roles, projects and single sign-on (SSO) are available depending on the plan. [9]	Single sign-on (SSO), automatic user provisioning (SCIM) and permissions for data sources and tables.

Questions about Taibles and n8n

Doesn’t n8n have tables and AI chat too?

Yes. n8n Data Tables provide persistent storage, and Chat Hub gives access to models and agents. In Taibles, tables also serve as the interface for automated processing: see steps, edit inputs and rerun steps. The assistant uses saved results to answer your questions.

Can n8n support reliable processes?

Yes. n8n offers error handling, execution history and retries. In Taibles, your team handles errors directly on the record: it sees the failed step, corrects the data and reruns it.

Can we keep using our existing n8n workflows?

Yes. Taibles supports importing n8n workflows. Connections, credentials and process logic are checked during import. You can also keep workflows running in n8n and pass their results to Taibles.

Where will we need technical support?

Custom integrations, access permissions and complex process logic may require technical setup. Your team can review results, fill in missing information and rerun steps in the configured tables.

Can the application and models run locally?

Yes. Taibles and suitable models can run on your infrastructure or an ELLY AI server. n8n also supports self-hosting and local AI components. If you choose an external model provider, it processes the request.

Can we retry individual steps and restore earlier workflow versions?

Yes. In Taibles, you can rerun individual steps for a record and restore an earlier workflow version. This does not undo actions already completed in other systems.

Comparison sources

n8n information checked on 6 October 2026. Sources: official product pages and documentation.

The demos use fictional example data.

Taibles

See Taibles handle a task from your team.

Tell us which question or process you want AI to help with. In the demo, we’ll discuss the data sources, show how you would work in Taibles and explain setup and costs.