AWS Athena weekly
94+38%(42)
AWS Athena68+13%(38)
Prior periodAll data sources
12 weeks
AWS Athena is a serverless query service for analyzing data in Amazon S3 with SQL. Connect AWS Athena to Basedash to ask questions, build dashboards, and automate reporting with AI.
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Chat/AWS Athena growth
Connected
Show AWS Athena weekly trend over the last 12 weeks, with the prior period as a comparison.
Pulled the last 12 weeks from athena. Up +38% vs. the prior period — growth accelerating in the last four weeks.
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Ask a follow-up about AWS Athena…↵
Basedash connects to AWS Athena and runs serverless SQL on your data in Amazon S3, reading table metadata from the AWS Glue Data Catalog.
Read the AWS Athena setup guideCreate IAM credentials
Set up a dedicated IAM user with an access key that can run Athena queries and read your S3 data and Glue catalog.
Enter region, keys, and output location
Add the AWS region, access key ID, secret access key, and an S3 output location for query results. The workgroup defaults to primary.
Connect and sync the catalog
Basedash checks the credentials, then syncs the schemas of your Athena databases.
IAM permissions
- athena:StartQueryExecution, GetQueryExecution, GetQueryResults, and StopQueryExecution
- Read access to the S3 buckets that hold your data
- Read and write access to the S3 query result location
- Read access to Glue Data Catalog databases, tables, and partitions
Imagine ChatGPT or Claude, but with full context of your AWS Athena schema and how your team uses it. Basedash answers in plain language, backed by real queries.
Try asking
- Show row growth across AWS Athena tables over the last 90 days.
- Which AWS Athena tables are growing fastest this quarter?
- Top customers in AWS Athena by revenue last month.
- Find the slowest queries hitting AWS Athena this week.
Plain-language queries
Ask follow-ups in natural language. Basedash translates them into SQL against your AWS Athena data.
Knows your business
Basedash learns your KPIs, schemas, and the way your team talks about AWS Athena.
Agentic by default
Runs multiple queries, resolves errors, and keeps iterating until the answer is right.
Keep querying AWS Athena directly, and sync your SaaS tools into a managed warehouse to see how sales, finance, product, and operations actually connect.
- Queries run in placeBasedash connects to AWS Athena directly and queries your data where it lives. No copies to keep in sync.
- Scoped credentialsConnect with a dedicated AWS Athena user or key so Basedash only sees the data you grant.
- SaaS data alongsideSync CRM, billing, and support tools into Basedash Warehouse and analyze them in the same workspace.
Common questions about AWS Athena and Basedash
Does Basedash need an S3 output location for Athena?
Yes, unless your Athena workgroup already enforces one. Athena writes query results to S3, so enter a location such as s3://my-athena-results/path/ and give the IAM user read and write access to it. If queries fail with an output location error, set this field or configure one on the workgroup.
How can I control Athena costs from Basedash queries?
Run Basedash in a dedicated Athena workgroup so you can track and limit its spend separately, and scope its S3 and Glue permissions to the databases it needs. Adding context about partition columns also helps the AI filter on them, which keeps scans small and queries cheaper.
Why can't Basedash see my Athena tables?
Check that the region you entered matches where your Athena databases live, and that the IAM user can read both the data buckets and the Glue Data Catalog. The query history in the AWS console shows the detailed error for any query that failed.
We'll walk through how Basedash works with AWS Athena and answer questions for your exact use case.