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Teable

Open Source

About Teable

Teable is an AI Database Agent that transforms data into action. It automates the flow of work from databases to applications. The product turns data into AI workflows and custom apps. It combines AI with a database foundation. It is described as an AI Spreadsheet for Business.

Products

  • No-code app builder: Builds apps without code.
  • Excel to app: Converts Excel files into apps.
  • Spreadsheet to app: Converts spreadsheets into apps.
  • Dashboard Creator: Creates dashboards.
  • Workflow generator: Generates workflows.

Used for

  • Organizing receipts and extracting vendor name, address, category, date, total and tax amount
  • Building a CRM with lead and follow-up tables and new-lead notification automation
  • Extracting data from sales contracts including buyer, contacts, term dates, and payment terms
  • Organizing resumes into candidate profiles covering experience, skills, and certifications
  • Analyzing feedback spreadsheets to add sentiment, tags, and draft replies

From Teable's own website, read 2026-10-23. How we build listings.

How to evaluate Database Platforms

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Teable. It comes from our Enterprise Database Platforms buyer guide.

25%
Data Model & Query Fit
Match of the engine to the workload: relational integrity and joins, document/JSON flexibility, key-value latency; transaction isolation levels and ACID guarantees; SQL standard coverage and dialect quirks; secondary indexes, full-text and vector (pgvector / Atlas Search) support; foreign keys and referential integrity where you need them
20%
Consistency, Scale & HA
Single-primary vs. multi-writer; synchronous vs. async replication and resulting RPO; read-replica and sharding story; horizontal write scale and global/multi-region behavior (strong vs. eventual consistency); failover time, achievable RTO, and how partitions are handled under load
20%
Operability & Managed-Service Experience
Quality of the managed offering (RDS/Aurora, Azure SQL, Cloud SQL/AlloyDB) vs. self-managed burden; in-place and major-version upgrade path; backup/PITR, observability, and connection pooling; autoscaling and serverless options; day-2 toil — vacuum/compaction, index bloat, rebalancing — and the depth of the DBA skills it demands
15%
Licensing & Portability
License class and its real constraints: OSI open source (PostgreSQL, MySQL, Valkey, Redis 8 AGPL) vs. source-available (MongoDB SSPL, CockroachDB enterprise/BSL) vs. proprietary (Oracle, SQL Server); cloud lock-in of proprietary engines (Aurora, Spanner, DynamoDB); wire-protocol and SQL-dialect compatibility that preserves an exit; audit exposure on proprietary metrics
12%
Security & Compliance
Encryption at rest and in transit, TLS enforcement, and key management (BYOK/HSM); row- and column-level security and fine-grained RBAC; field-level / queryable encryption for sensitive data; audit logging; data-residency controls and certifications (SOC 2, ISO 27001, HIPAA, PCI, FedRAMP) on the managed service
8%
Ecosystem & Talent
Driver and ORM maturity across your languages; migration and CDC tooling (logical replication, Debezium, DMS); breadth of extensions and integrations; size and hireability of the talent pool; quality of docs and the support path — first-party vendor vs. third-party (EDB, Percona, Crunchy) for open engines

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

teable.io Pricing page
CategoryData & Analytics
SubcategoryDatabase Platforms
DeploymentCloud, Self-hosted

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