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Basedash vs Verdonz

Basedash

basedash.com

Verdonz

verdonz.com

Side by side

FigureBasedashVerdonz
Price from$1,000/mo$199/mo
Free plan—Yes
Free trialYes—
Open source——
WebYesYes
APIYesYes
Self-hostedYesYes
Plans published23
Spec score · Sales Analytics Software8.3 (#5)7.7 (#14)
IntegrationsThe maker lists direct connections including PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, and Databricks, plus SaaS connectors such as Salesforce, HubSpot, and Stripe.Supported sources include Snowflake, Google BigQuery, Databricks on Unity Catalog, Amazon Redshift, PostgreSQL, MySQL, Microsoft SQL Server, Presto and Amazon Athena.
SecurityBasedash 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.Verdonz applies row-level security, column masks and object grants to governed queries and records sign-ins and administrative changes in an audit log.
SupportPaid plans include Slack support, while Enterprise includes a dedicated support contact and priority SLAs.Team includes standard support, while Enterprise includes enterprise support.

Plans

Basedash

  • Startup$1,000 a month
  • EnterprisePriced on request

Basedash pricing →

Verdonz

  • FreeFree
  • Team$199 a month
  • EnterprisePriced on request

Verdonz pricing →

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.

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Verdonz

Verdonz is a governed AI platform for investigating business questions across business data, workspace knowledge and connected systems. Its agents can identify what changed, trace drivers to accounts or transactions, show evidence and propose a next step for approval. Users can ask plain-language questions about governed metrics and see the selected metric, dimensions and SQL behind an answer. A shared semantic layer defines metrics, entity relationships, descriptions, synonyms and permissions for use across dashboards, reports and AI answers. Workspace knowledge bases can include PDFs, Word documents, Excel spreadsheets, CSV, text and Markdown files. Supported sources include Snowflake, Google BigQuery, Databricks on Unity Catalog, Amazon Redshift, PostgreSQL, MySQL, Microsoft SQL Server, Presto and Amazon Athena. By default, queries run where connected data lives; Verdonz says it does not perform ETL, ELT, change data capture, streaming replication or reverse ETL. Free access is limited, uses sample data and does not connect a business’s own data. Team costs $199 a month at a flat rate, with billing terms confirmed at signup.

Visit verdonz.com