
Cube
7.9#2 in data transformation toolsFrom $40 a monthFree planWebAPILinuxSelf-hosted
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| Fact | Cube | Sema |
|---|---|---|
| Company | The company is Cube Dev, Inc.; its about page names Artyom Keydunov and Pavel Tiunov as co-founders. | Sema says it was founded in 2025 and is remote-first. |
| Compliance | Cube Cloud states SOC 2 Type II, HIPAA and GDPR compliance and offers audit logs across deployments. | Sema’s trust page says SOC 2 Type II is in progress, GDPR-ready data processing terms are available, and HIPAA support with a BAA is available for eligible plans on request. |
| Deployment | Cube Cloud can run as a managed multi-tenant service on AWS or GCP, in a VPC on AWS, GCP, or Azure, or on a customer's cloud through BYOC. | Sema says it can run in the customer’s VPC or its own environment; its self-hosted Kubernetes deployment uses a Helm chart and customer-provided Postgres and object storage. |
| Founded | 2019 | 2025 |
| Integrations | Listed data sources include Snowflake, BigQuery, Redshift, Databricks, ClickHouse, PostgreSQL, MySQL, MongoDB, Trino, Presto and AWS Athena. | Sema describes its capabilities as MCP tools for use with Claude, Cursor, or an in-house agent, and supports OAuth2/OIDC identity providers including Okta, Entra, Auth0, and Google Workspace. |
| Product | Cube is an agentic analytics platform built on a semantic layer for business users and AI agents. | Sema is a semantic layer for enterprise AI that connects databases, infers data meaning, and answers business questions in plain English with governance. |
| Security | Cube states that data is encrypted at rest, API access uses token-based security, and application traffic is encrypted over SSL/TLS 1.2. | Sema says it uses TLS in transit and encryption at rest, role-based access, restricted-column masking, workspace isolation, and an append-only log of queries, plans, and configuration changes. |
Cube suits teams building internal BI or embedded analytics that need governed business definitions shared across dashboards, applications, and AI agents. It also fits teams that want a free starting plan or cloud deployment choices.
Sema suits enterprise and regulated teams, including those working with warehouses that contain thousands of tables. Teams that need governance controls or deployment in their own VPC may also find its deployment options relevant.