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Enterprise Layer Intelligence
Categories/AI Analytics/Alkera
Alkera

Alkera

Collaborate with AI agents to analyze data and build data pipelines in shared notebooks

Pricing model

Free Tier

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Alkera to unite your data engineering, analysis, and machine learning projects in shared multiplayer workspaces. The system lets your team work alongside specialized agents to write code, build transformations, and inspect databases. You can connect existing data warehouses like Snowflake and BigQuery, orchestrate runs with dbt or Airflow, and generate charts directly from collaborative notebooks. Instead of switching between disparate systems, technical teams and automated assistants write scripts, track data models, and share analytics findings together in real time.

What Alkera does

Connect cloud data warehouses like Snowflake and BigQueryRun collaborative SQL and Python notebooksDirect AI agents to generate analytical chartsTrace and update dbt transformation modelsFacet and filter data visualizations across business dimensionsImport organizational context from Confluence and NotionMultiplayer workspaces for real-time collaborative data analysisAutonomous agents that write and edit notebook cellsDirect integrations with warehouses like Snowflake, BigQuery, and DatabricksIntegration with orchestration and transformation tools including Airflow and dbtAutomated visualization builder for charting metric trendsContext ingestion from knowledge bases like Notion, Confluence, and Google Docs

Pricing breakdown

Pricing model: Free tier

Tutorials & Demos

Frequently asked

dbtdbtClickHouseClickHouseDatabricksDatabricksPostgreSQLPostgreSQLSnowflakeSnowflakeTableauTableauAWSAWSBigQueryBigQueryDatadogDatadogFivetranFivetranGithubGithubLookerLookerNotionNotionRedshiftRedshiftSlackSlackLinearLinearGoogle DocsGoogle Docs

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Alkera, data collaboration, multiplayer workspace, AI agents, data engineering, data science, data analytics, SQL notebook, dbt, Airflow, Snowflake, Databricks, BigQuery, ClickHouse, DuckDB, Python notebook