DataBrain vs Sisense
DataBrain
usedatabrain.comSisense
sisense.comSide by side
| Figure | DataBrain | Sisense |
|---|---|---|
| Price from | $999/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 3 |
| Spec score · Embedded Analytics Software | 8.3 (#6) | 8.4 (#5) |
| Embedding | The site lists React, Angular, Vue, Next.js, iframe, and web components for embedding analytics. | Analytics can be embedded with iframes, APIs, JavaScript and the Compose SDK, including white-labeled experiences. |
| Product | DataBrain is an AI-powered embedded analytics platform for B2B SaaS product and engineering teams. | Sisense is an AI analytics platform for modeling, visualizing, and embedding analytics in applications. |
Plans
In their own words
DataBrain
DataBrain is an embedded analytics platform for B2B SaaS product and engineering teams. It adds multi-tenant, white-label dashboards and natural-language analytics inside a software product. Data can come from Snowflake, BigQuery, Redshift, Databricks, Postgres, spreadsheets, and web APIs. Teams define versioned, auditable metrics with a Visual Builder, Custom SQL, or AI Chat Mode. Embedding options include React, Angular, Vue, Next.js, iframes, and web components; developers can also use the npm package and REST API guest tokens. DataBrain says every query is scoped by tenant key, with row and column rules enforced at the query layer. It stores metadata while data remains in the customer’s warehouse, with data-residency options. The maker describes GDPR compliance, SOC 2 auditing, ISO 27001 certification, HIPAA readiness with optional BAA, CCPA support, AES-256 storage encryption, and SSL/TLS in transit.
Sisense
Sisense is an AI analytics platform for modeling, visualizing, and embedding analytics in applications. It supports web, API, and self-hosted use, with hybrid deployment and real-time data refresh. Teams can connect through live, ElastiCube, or hybrid approaches; listed data sources include Snowflake, Amazon Redshift, Google BigQuery, and Azure Synapse. Analytics can be embedded with iframes, SDKs, or APIs, including Compose SDK. Its AI features include natural-language queries, narratives, forecasts, and trend analysis. Governed semantics, semantic enrichment, and access controls help align analytics and AI with consistent business definitions. Sisense also says MCP can let tools such as ChatGPT and Claude access governed data models and return structured insights. Row-level security and scheduled reports are available. The Self-Serve plan is intended for startups and growing teams and includes data connections, natural-language queries, auto-narratives, an assistant, and embedding. Enterprise adds SaaS, dedicated cloud, or on-premises deployment, column-level security, SSO, a 99.99% Premium SLA, and the full Sisense Intelligence AI suite. Sisense offers a full-featured 7-day trial; there is no free plan, and pricing is available on request.