Basedash vs Savvina AI
Basedash
basedash.com
Savvina AI
savvina.aiSide by side
| Figure | Basedash | Savvina AI |
|---|---|---|
| Price from | $1,000/mo | €39/mo |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 5 |
| Spec score · AI SQL Generators | 8.4 (#2) | 8.0 (#6) |
| Deployment | Basedash is available as managed cloud, private VPC, or self-hosted deployment, including Docker, Kubernetes, and Helm options. | All plans run on the customer’s own infrastructure via Docker, and the pricing page says Savvina does not touch customer data. |
| Intended users | Basedash describes its audience as data leaders and business teams, including product, sales, marketing, finance, and operations teams. | The maker describes use by operations, data, engineering, finance, healthcare, HR, and other teams that need analytics while keeping data in-house. |
| Security | Basedash lists SOC 2 Type II certification, TLS encryption in transit, AES-256 encryption at rest, SSO, SCIM, role-based access, row-level security, and audit logs. | Savvina says query results are never sent to external models and that the LLM receives schema information rather than query results. |
| Support | Paid plans include Slack support, while Enterprise includes a dedicated support contact and priority SLAs. | Support ranges from GitHub community support on Community to dedicated support on Enterprise. |
Plans
Savvina AI
- CommunityFree
- Starter€39 a month
- Team€249 a month
- Business€1,299 a month
- EnterprisePriced on request
In their own words
Basedash
Basedash is an AI-native business intelligence platform for asking plain-English questions about live company data and turning answers into governed dashboards and automated reports. Its AI analyst validates generated SQL against connected schemas and displays the SQL behind each answer. Users describe the metrics they want to follow, and Basedash assembles charts, KPIs, and dashboard layouts. Teams can define dimensions, measures, and segments for reuse across chat, dashboards, and automations. A managed DuckDB warehouse centralizes data synced from more than 750 sources. Listed connections include PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, Databricks, Salesforce, HubSpot, and Stripe. The agent answers questions in Slack with chart images; reports and alerts can go to Slack and email. Deployment options are managed cloud, private VPC, or self-hosting with Docker, Kubernetes, and Helm. Security listings include SOC 2 Type II, encryption, SSO, SCIM, role-based and row-level security, and audit logs.
Savvina AI
Savvina AI turns plain-English questions into SQL and returns database results within the customer’s own environment. It supports follow-up queries, validates SQL as read-only, and adds LIMIT clauses automatically. Results can appear in eight chart types, from bar and line charts to gauges and numeric displays. The product lists 22 data sources, including PostgreSQL, BigQuery, Snowflake, MongoDB, Amazon S3, and Google Cloud Storage. Customers bring their own LLM provider; listed choices include Anthropic, OpenAI, Google, Ollama, OpenRouter, and vLLM. Plans run on customer infrastructure through Docker. Savvina says the LLM receives schema details rather than query results; users can exclude schemas, tables, or columns from prompts, and sensitive values are masked in results. Database passwords and API keys are encrypted at rest. The free Community plan is limited to one user and PostgreSQL and MySQL. Paid plans start at €39/mo, with no free trial. Enterprise pricing is custom and includes multiple deployments and air-gapped licenses.