SQL and Python notebooks
Combine SQL cells that query connected warehouses with Python cells that work with Polars or pandas dataframes. Notebook results can feed subsequent analysis and charts.
Alkera
Freemium
An agentic data platform for collaborative engineering, analysis, and data science.
What is Alkera?
Alkera is an agentic data platform for data engineering, analysis, and data science. It provides collaborative workspaces where people and agents can work with connected data systems, knowledge sources, notebooks, dashboards, and maintenance workflows. The platform is designed to bring analysis and operational data work into the same environment while preserving context from the wider data stack.
Teams can query connected systems with SQL, transform results with Python, join data across warehouses, and publish notebook-based analyses as interactive dashboards. Alkera also monitors data jobs and warehouses, helps investigate failures and quality issues, and tests proposed pipeline changes in isolated environments before production deployment.
The platform supports organization-wide administration and can be deployed in a VPC or on premises. Enterprise controls include identity and access management, team-level permissions and budgets, audit logs, and options for using customer-managed model keys or managed inference.
What can Alkera do?
Cross-warehouse analysis
Query different warehouses in separate cells and join the returned data inside the notebook, supporting analyses that span systems such as Snowflake and BigQuery.
Reactive dashboards
Turn notebooks into interactive dashboards by sharing selected charts, markdown, and inputs. Dependent cells recalculate when an input or query changes.
Pipeline monitoring and repair
Monitor warehouse and job failures, inspect data-quality issues such as stale or incorrect data, and let agents prepare fixes using lineage, execution history, knowledge, and code history.
Sandbox validation and CI/CD workflow
Test proposed pipeline changes without touching production, then publish check results through GitHub pull requests and use required merge gates or Slack approvals.
Enterprise administration and deployment
Deploy in a VPC or on premises, including air-gapped installations, and manage teams, roles, connections, budgets, audit logs, SSO/SAML, SCIM, and IAM.
Use Cases
“Build a cross-system revenue analysis”
An analyst can query orders from one warehouse and account attributes from another, join the results in a notebook, and create charts or dashboard controls for revenue by month, segment, and region.
“Share a live operational dashboard”
A team can hide notebook code and expose the relevant charts, markdown, and inputs as an interactive dashboard that remains powered by the live notebook.
“Investigate a failed data pipeline”
A data team can review warehouse and job history, monitoring alerts, lineage, knowledge entries, and code history while an agent proposes a repair for review.
“Validate a pipeline fix before release”
Engineers can run proposed changes in an isolated sandbox, review the checks, and send the fix through a GitHub pull request or a required CI/CD merge gate.
“Manage governed data work across teams”
An organization can give teams separate permissions, connections, and spending controls, provision members through SCIM, and retain an audit record of administrative actions.
Frequently Asked Questions
What kinds of workspaces does Alkera provide?
Alkera provides shared workspaces for chats, SQL and Python notebooks, dashboards, and collaboration between people and agents. Teams can share dashboards and other artifacts, which update from the live notebook.
Can Alkera work with more than one data warehouse?
Yes. Its notebooks can query different connected warehouses in separate cells and join the returned results inside the notebook. The site shows Snowflake and BigQuery in this workflow.
How are notebook changes kept current?
Notebook cells track what they read and what reads them. When an input changes or a query is moved or modified, dependent cells can automatically rerun.
How does Alkera handle proposed pipeline repairs?
Agents investigate incidents and propose repairs using operational context such as execution logs, lineage, knowledge-base items, and code history. Changes are tested in isolated sandbox environments before production, with GitHub and Slack workflow options.
What deployment and access controls are available for enterprises?
Enterprise deployments can run in a VPC or on premises, including air-gapped installations. Available controls include SSO/SAML, SCIM, IAM, team and role permissions, budgets, audit logs, and bring-your-own model keys.
Quick Facts
- Category
- Data platform; Developer tool; Business intelligence
- Primary users
- Data engineering, analysis, and data science teams
- Notebook format
- Plain Python files based on the open-source marimo format
- Connected systems
- Data warehouses, databases, orchestration, transformation, BI, knowledge, observability, and collaboration tools
- Deployment
- Cloud workspace, VPC, on premises, and supported air-gapped enterprise installations
- Pricing
- Free tier, Plus at $50/month, Pro at $200/month, and custom Enterprise pricing
Alkera Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 15
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