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Connect Amazon Aurora Mysql to Sourcetable, and query database data with AI

You've never seen a spreadsheet do this before.

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A B C D E
1
Table
Records
Updated
Size
Status
2
users
245,891
2025-12-14
1.2 GB
Active
3
orders
892,334
2025-12-14
4.8 GB
Active
4
products
12,445
2025-12-13
256 MB
Active
5
sessions
1,234,567
2025-12-13
2.1 GB
Active
6
analytics
445,223
2025-12-12
Syncing...
Syncing
7
logs
2,891,445
2025-12-11
8.9 GB
Active
Database tables from Amazon Aurora Mysql
Made with: Sourcetable Sourcetable

Use Amazon Aurora Mysql, show me all active users

See how simple it is to connect...

...and analyze Amazon Aurora Mysql data.

I used to write complex SQL queries to query Amazon Aurora Mysql data. Now I ask questions in plain English and get results immediately.

— Data Engineer

Enterprise-grade Security

Your data is protected by industry-leading SOC 2 Type 2, HIPAA, and PCI compliance standards, whether in our cloud or on-premises.

Private User Keys

Private User Keys

Encrypted at REST

Encrypted at REST

Escrow KMS

Escrow KMS

Connectors

Connectors

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Database ⋆ API ⋆ MCP

Connectors

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Frequently Asked Questions

If you question is not covered here, you can contact our team.

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How do I connect Amazon Aurora Mysql to Sourcetable?
Connect your Amazon Aurora Mysql account to Sourcetable by clicking "Start connecting" and authenticating with your Amazon Aurora Mysql credentials. Once connected, you can query database data, create visualizations, and build reports directly from your spreadsheet using natural language commands.
What can I do with the Amazon Aurora Mysql connector?
The Amazon Aurora Mysql connector lets you query database data, create custom reports, track key metrics, and build automated dashboards. You can query your Amazon Aurora Mysql data using plain English and Sourcetable will fetch and analyze the data automatically.
Can I analyze my Amazon Aurora Mysql data with AI?
Yes! You can analyze your Amazon Aurora Mysql data using plain English queries. Ask questions like "Show me all active users" and Sourcetable's AI will query your Amazon Aurora Mysql account and create visualizations automatically.
Is my Amazon Aurora Mysql data secure?
Yes. Sourcetable uses industry-standard OAuth 2.0 authentication and encryption to connect to your Amazon Aurora Mysql account. Your credentials and data are encrypted both in transit and at rest. We follow enterprise security best practices and you maintain full control over your Amazon Aurora Mysql account permissions.
How often does my Amazon Aurora Mysql data sync with Sourcetable?
Your Amazon Aurora Mysql data syncs automatically when you run a query or fetch data. You can manually refresh at any time to get the latest information. This ad-hoc approach means you always work with current data while maintaining control over when data is fetched.
How is this different from exporting Amazon Aurora Mysql data to Excel or CSV?
Unlike static CSV exports, Sourcetable connects directly to your live Amazon Aurora Mysql data. You can query current data using natural language without writing SQL, create dynamic dashboards that update on-demand, and analyze trends across any time period instantly. No more downloading files, copying data between spreadsheets, or manually updating reports.
Can I import historical Amazon Aurora Mysql data from before I connected?
Yes! When you connect Amazon Aurora Mysql to Sourcetable, you can access all historical data available in your Amazon Aurora Mysql account. Specify date ranges in your queries like "Show me all data from the past 2 years" and Sourcetable will fetch the historical records from Amazon Aurora Mysql's API.
How does Sourcetable replace my manual Amazon Aurora Mysql reporting workflows?
Instead of waiting for scheduled reports or manually exporting CSVs, you can run any analysis instantly whenever you need it. Ask questions on-demand and get answers in seconds. Save your most common queries as templates, share them with your team, and build dashboards that anyone can refresh with a click. This ad-hoc approach means you're never waiting for reports - you create insights when you need them.
What data sources does Sourcetable support?
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data like Amazon Aurora Mysql and most plain text data. View all available connectors at sourcetable.com/connectors.
Can I generate data visualizations?
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. For Amazon Aurora Mysql data, you can create charts showing trends, distributions, comparisons, and more. All visualizations are downloadable and can be exported as interactive embeds.
What data science tools are available?
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn to analyze your Amazon Aurora Mysql data and create insights.
Is this free?
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have usage limits. Users can upgrade to the Pro plan for more credits.
Is there a discount for students, professors, or teachers?
Students and faculty receive a 50% discount on the Pro and Max plans. Email support@sourcetable.com to get your discount.
Is Sourcetable programmable?
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write Python code for you.
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