Databricks Notebooks vs IOMETE
Databricks Notebooks
databricks.com
IOMETE
iomete.comSide by side
| Figure | Databricks Notebooks | IOMETE |
|---|---|---|
| Price from | Free | $41.67/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 11 | 3 |
| Spec score · Data Lakehouse Platforms | 9.2 (#1) | 8.0 (#7) |
| Collaboration | Coworkers can edit the same cell simultaneously, see each other's edits and comment on code. | Its features include a collaborative SQL editor, Git integration for SQL worksheets and queries, and multi-domain support. |
| Compliance | Databricks states offerings for PCI-DSS, HIPAA and FedRAMP and compliance with ISO 27001, ISO 27017, ISO 27018 and SOC 2 Type II. | The IOMETE homepage labels the platform SOC2 Certified, HIPAA Compliant, and GDPR Compliant. |
| Security controls | The trust center lists encryption, network controls, auditing, identity integration, access controls and data governance. | IOMETE provides data access enforcement at database, table, column, and row levels, including masking and row-level filters. |
Plans
Databricks Notebooks
- Free EditionFree
- Pay as you goPrice not published
- Pay as you goPriced on request
- Committed Use ContractsPrice not published
- Committed Use ContractsPriced on request
- Free EditionFree
- Free trialFree
- Artificial Intelligence$0.07 a month
- Data Engineering$0.15 a month
- Data Warehousing$0.22 a month
In their own words
Databricks Notebooks
Databricks Notebooks has no write-up on Specifiction yet; its figures are above.
IOMETE
IOMETE is a data lakehouse platform for AI and analytics built on Apache Spark, Apache Iceberg, and Kubernetes. It supports SQL analytics, ACID transactions, streaming ingestion, and open table formats, with external storage. Its Query Federation Engine can query relational and NoSQL databases and flat files without complex ETL pipelines. A centralized catalog holds dataset metadata, lineage, collaboration, and quality information. Teams can connect through JDBC/ODBC, REST APIs, SQL interfaces, custom endpoints, and webhooks. Integrations include Tableau, Power BI, and Apache Superset for business intelligence, as well as Apache Airflow, dbt, and Apache NiFi for data integration. Collaboration tools include a SQL editor, Git integration for SQL worksheets and queries, and multi-domain support. Access enforcement can operate at database, table, column, and row levels, with masking and row filters; authentication supports local credentials, LDAP synchronization, and federated SAML/OIDC. Deployment options include on-premises, private or public clouds, and hybrid environments. The Free plan allows up to 100 vCPUs and includes community support. Enterprise is listed at $500 per vCPU per year with a $100,000-per-year minimum commitment. Business Critical has a $250,000-per-year minimum commitment.