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You can practice SQL in a browser without installing a database or client. Choose a playground that supports the SQL dialect you need, use sample or synthetic data, and run queries there. But “online” does not tell you where SQL runs: some tools say they execute in your browser, while others offer sharing or remote features with separate data terms. Avoid entering personal, employer, customer, or credential data unless you have verified the specific tool’s current handling.
Start practicing SQL without installing anything
- Pick the dialect. Use the database system required by your class, interview, or project. If you have no requirement, SQLite is a straightforward starting point. SQL syntax and available functions vary between engines.
- Open a playground that supports it. SQLiz provides a SQLite-only playground; SQL Fiddle lists several engines, and SQLize.online lists a broad engine and version catalog. The interface may be browser-based even when execution or optional features involve a remote service.
- Use a sample or synthetic dataset. Start with a small table, then practice selecting columns, filtering rows, sorting, aggregation, and joins. Run the query, inspect the results or error, and change one part at a time.
- Save or export deliberately. Some playground databases are temporary and disappear on reload. Check the tool’s export or persistence controls before investing time in a larger exercise.
- Check the terms before sharing. A share link or snippet-submission feature can have different data handling from ordinary query execution. Do not paste secrets, passwords, personal information, or confidential data into a practice tool.
Where your queries and practice data go
The statements below describe what each provider says about its service; they are not independent security audits. A claim that SQL runs locally concerns the database work, not necessarily every request made to load the website or optional feature.
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SQLiz: SQLite runs in the browser, according to the provider
SQLiz describes its playground as client-side SQLite execution: SQL text, schemas, and result rows stay in the browser and are not sent to SQLiz. It says a selected local SQLite file is read into browser memory rather than uploaded. The database is temporary and clears when the page reloads; the page lists a 25 MiB local-file limit. SQLiz identifies its build as sql.js 1.14.2 embedding SQLite 3.49.1, so functions introduced in later SQLite versions may not be available. SQLiz SQLite Online
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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11SQLiz also says that when Google Analytics is enabled, it records whether a run succeeded, the number of result sets, and whether a local file was opened or exported. It says it does not record SQL text, file names or sizes, database contents, result values, or errors. Analytics configuration and implementation can change, so consult the live page for the current description.
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SQLite Fiddle: transient local databases, according to its About page
SQLite Fiddle says its JavaScript app wraps a WebAssembly build of the SQLite CLI shell and runs on the user’s device. It says the app does not contact the remote server after loading or use HTTP cookies. Databases are transient in-memory unless a persistent-storage option is available and enabled. SQLite Fiddle also says this deployment is not an officially supported SQLite project deliverable and may change or be removed. SQLite Fiddle
SQLize.online: sharing terms are important
SQLize.online supports multiple database engines and describes its playground as a place to learn, test, debug, and share SQL. Its page says submitting a snippet, including anonymously, grants permission to use, license, and sell anonymized snippet data for analytics and AI/ML training. It explicitly warns users not to submit secrets, passwords, or personal data. Its privacy page also describes usage logs, advertising and analytics technologies, and Google Analytics. Read the current terms before submitting code or data. SQLize.online · SQLize.online privacy policy
SQL Fiddle: distinguish its features and current terms
SQL Fiddle lists SQL Server, SQLite, PostgreSQL, MySQL, MariaDB, and Oracle options, as well as query sharing and logged-in AI chat and query generation. Its site says the previous version shut down at the end of 2023. Its privacy policy describes personal-information processing and does not guarantee that internet transmission or storage is perfectly secure. Do not assume the execution path or retention behavior of one feature applies to another; review the live terms for the feature you plan to use. SQL Fiddle · SQL Fiddle privacy policy
SQL Practice Online: current data handling is unclear
Available versions of its privacy policy conflict: one search-result version described standard SQL execution in the browser and local progress on the device unless saved to an account, while the policy text opened separately described advertising cookies, analytics, and affiliate tracking. That discrepancy does not establish the service’s current data flow. Verify the live policy and the specific feature before using it with anything sensitive. SQL Practice Online privacy policy
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Choose a playground by engine, execution, and persistence
| Playground | Engines described | Execution and data notes | Persistence or sharing |
|---|---|---|---|
| SQLiz | SQLite only; page identifies sql.js 1.14.2 embedding SQLite 3.49.1 (page observed 2026). | Provider describes SQL execution, schema, and results as staying in the browser; local SQLite files are read into memory, not uploaded. | In-memory database clears on reload; export is offered. Page lists a 25 MiB local-file limit and describes limited analytics events when Google Analytics is enabled. |
| SQLite Fiddle | SQLite. | Provider says its app runs on the device and does not contact the remote server after loading. | Transient in-memory by default; persistent storage may be available and enabled. Provider says deployment may change or be removed. |
| SQLize.online | Broad catalog; its page observed in 2026 lists PostgreSQL 15–18, MySQL 8.0/8.4/9.7, and SQL Server 2017–2025, among others. | Review its current privacy terms and feature behavior; snippet submissions carry stated permissions for anonymized data use, licensing, and sale. | Supports sharing; current persistence details depend on the feature and terms. |
| SQL Fiddle | SQL Server, SQLite, PostgreSQL, MySQL, MariaDB, and Oracle listed by the site. | Do not infer one feature’s execution or retention behavior from another; review current terms. | Query sharing and logged-in AI features are described; policy does not guarantee perfectly secure transmission or storage. |
Choose by the exact database engine and version you need first. Then check whether the tool describes local execution, whether your intended feature submits or shares a snippet, and how you can preserve work. A query accepted by one engine may fail elsewhere because functions and syntax differ.
Quick Recap
Keep practice data safe and your work recoverable
- Use fictional data. Names such as “Customer 1” are not a substitute for removing identifying details if the records are real. Build a small made-up table or use public sample data instead.
- Separate ordinary queries from optional features. Sharing, accounts, AI assistance, analytics, and advertising may involve different processing from running a local query. Check each feature’s terms rather than assuming one privacy statement covers every workflow.
- Expect temporary state to disappear. If a tool says its database is in memory, reloads can clear it. Export the database or save your SQL somewhere you control when those options are available.
- Match versions when debugging. If a query relies on a newer function, verify that the playground’s engine version supports it before assuming the SQL itself is wrong.
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