6 Platforms to Practice Your SQL Skills

The right SQL practice site depends on what you need next: guided instruction, topic drills, a study plan, or interview-style questions. Six useful options are SQLBolt, SQLZoo, HackerRank, LeetCode, DataLemur, and StrataScratch. They offer different practice formats, so treat this as a shortlist rather than a universal ranking.

If you are learning your first queries, begin with a tutorial-led resource. If you already know SELECT, filtering, and joins, spend more time solving prompts without step-by-step instruction. For interview preparation, add problems that resemble the data questions you expect to face, then review your approach and the dialect your target role uses.

1. SQLBolt: guided fundamentals

SQLBolt presents interactive SQL lessons and exercises. That combination makes it a reasonable starting point when you want an explanation followed by a chance to write a query. Work through lessons actively: predict the result before submitting, change one part of the query, and note what changed.

Use SQLBolt when you need a guided introduction or a refresher on foundational query patterns. If you already solve basic SELECT and WHERE tasks comfortably, use it selectively and move to prompts that require you to choose the query structure yourself.

2. SQLZoo: tutorial-led exercises

SQLZoo organizes tutorials and exercises into a guided progression. It suits learners who prefer moving through tasks in sequence and practicing while they learn. As with any tutorial, do not equate finishing pages with being able to solve a fresh problem: close the lesson, restate the concept, and try a related query from memory.

Try SQLZoo when you want structured tasks and a tutorial format. Before relying on it for a class or job, check the current exercise instructions for the SQL dialect and features in use; the sources reviewed for this guide do not establish a comparable, current dialect matrix across all six platforms.

3. HackerRank: challenge-oriented practice

HackerRank is a challenge-oriented option for practicing SQL problems. A 2023 overview from StrataScratch describes HackerRank as offering SQL challenges across levels and interview preparation. That is useful broad context, but it is an older description from another platform, not a current feature audit. Check HackerRank’s own SQL area for the current challenge organization and available features.

Choose challenge-based practice when you understand the basic syntax and want to solve problems with less instruction. Keep a record of the errors you make, such as grouping at the wrong stage, mishandling NULL, or joining at the wrong grain. Revisit the underlying concept instead of memorizing a solution.

4. LeetCode: a named SQL study plan

LeetCode offers a SQL 50 study plan. It is a recognizable way to organize problem practice, especially if a plan helps you build a consistent routine. The current study-plan page is dynamic, and the research pass did not fully extract its contents; this guide therefore does not make claims about its exact problem inventory or detailed plan structure.

Use the study plan as a schedule, not as proof that you are interview-ready. After solving a problem, explain why your query works, identify its assumptions, and consider whether another query shape would be clearer. If you get stuck, inspect the explanation only after making a serious attempt, then solve the problem again later without looking.

5. DataLemur: analytics and interview questions

DataLemur describes itself as an interactive SQL and analytics interview platform. Its positioning makes it a natural candidate when your goal is practicing interview-style data questions rather than following a general syntax tutorial. That description comes from the provider; it is not independent evidence that its prompts match every employer’s interviews.

Practice by translating the prompt into a small set of decisions before writing SQL: What does one output row represent? Which records qualify? What should happen when there are ties, missing values, or multiple events per person? Writing those decisions down can expose ambiguities before they become query bugs.

6. StrataScratch: structured learning and role preparation

StrataScratch’s homepage describes a free SQL learning path with six modules, 36 lessons, and more than 160 questions. The stated path covers foundations, aggregation, multiple tables, subqueries and CTEs, date and time and text functions, and window functions. These are provider-published counts and can change; they describe content volume, not independently measured learning quality.

The same homepage describes SQL and other interview-question resources. Consider it if you want a structured path that extends into interview practice. Check the live site for current access conditions and details before planning around a particular feature or question count.

How to choose a SQL practice platform

Compare platforms on the task you need to do next, not just on their names or the number of listed questions. No independent comparative study or comparable learner-outcome statistics were established in the research for this guide, so there is no evidence-based universal winner.

What you need	Good format to try	Options in this guide
Learn syntax with guidance	Lesson followed by exercise	SQLBolt, SQLZoo
Practice by solving challenges	Standalone problem or topic drill	HackerRank, LeetCode
Prepare for analytics interviews	Interview-style data prompt	DataLemur, StrataScratch
Build a sequence across topics	Guided learning path or study plan	SQLBolt, SQLZoo, LeetCode, StrataScratch

Use these questions to make a practical choice:

1. Do you need teaching or testing? If you cannot explain joins or aggregation yet, start with lessons. If you can, spend more time on problems that do not tell you which concept to use.
2. What does the feedback show? Check whether the current platform explains a wrong answer, provides a solution, or only reports whether it passed. Feedback behavior can change, so verify it on the live exercise.
3. Which SQL dialect matters? SQL implementations differ. Check exercise instructions and compare them with the database used in your course, workplace, or target role. The sources reviewed here do not support a reliable side-by-side dialect comparison.
4. What can you access? Review the live access and pricing terms before committing to a routine. This research did not verify a comparable current pricing matrix for all six platforms.
5. Will you practice consistently? Pick a format you can return to. A short, regular session that includes reviewing mistakes is more useful as a routine than collecting bookmarks you do not use.

A practical practice plan

You do not need to use all six platforms. Pair one resource that teaches or organizes material with one that gives you less-guided problems. This pairing is a practical recommendation based on their documented formats, not a tested claim about learning outcomes.

1. Find your current level. Try a few basic queries using SELECT, WHERE, ORDER BY, and aggregation. If you are unsure why the query works, return to a guided lesson.
2. Learn one concept at a time. Use a tutorial or learning path to study filtering, joins, grouping, subqueries, or window functions. Write a small example of your own after each lesson.
3. Practice without hints. Switch to a challenge or interview prompt. First define the expected output grain and edge cases, then write and inspect the query.
4. Review failures. Keep a brief error log. Record the mistaken assumption, the corrected rule, and a tiny example that demonstrates the difference.
5. Re-solve later. Return to missed questions after a delay. If you can only reproduce a memorized answer, vary the input or explain the query line by line.

SQL practice pitfalls to watch for

• Practicing only familiar syntax: Repeating simple filters can feel productive while leaving joins, grouping, and window functions untouched. Choose a topic that exposes a real gap.
• Memorizing answers: A passed query does not show that you can adapt it. Change the data assumptions or explain how duplicates and NULL values affect the result.
• Ignoring row grain: Joining tables can multiply rows. State what each table row represents and what the output should represent before joining.
• Assuming dialect portability: Date functions, string operations, and other syntax can vary. Use the dialect required by your target and confirm platform support on the current problem.
• Trusting counts as quality measures: Lesson and question totals show volume only. They do not establish correctness, explanation quality, or interview outcomes.
• Relying on an old comparison: Feature sets, access rules, and prices change. Verify details with the provider before making a decision.

Notes on the Mode SQL tutorial

If you encounter an older link labeled the Mode SQL tutorial, the researched URL redirects to ThoughtSpot’s SQL tutorial. Name the current destination accurately and check the redirect before publication or sharing. A redirected resource can still be useful, but the old brand name may confuse someone trying to find it.

Or skip the browser setup

If your SQL practice workflow includes capturing website screenshots for notes, documentation, or an AI-assisted research step, ScreenshotNeo can capture a page with one request. It is a website screenshot API and MCP server from ScreenshotNeo. It does not run SQL exercises; it can help with the browser-capture part of a broader workflow.

For a complete reference to parameters and response behavior, see the ScreenshotNeo API docs. This cURL example saves a WebP screenshot of a page:

curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webp

The equivalent Python request is:

import requests

r = requests.get(
    "https://api.screenshotneo.com/v1/shot",
    params={"access_key": "YOUR_API_KEY", "url": "https://stripe.com"},
    timeout=90,
)
open("shot.webp", "wb").write(r.content)

And with Node.js:

const q = new URLSearchParams({
  access_key: 'YOUR_API_KEY',
  url: 'https://stripe.com'
});
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);
if (!res.ok) throw new Error(`Screenshot request failed: ${res.status}`);
await require('node:fs/promises').writeFile('shot.webp', Buffer.from(await res.arrayBuffer()));

ScreenshotNeo removes cookie banners, newsletter popups, and chat widgets before the shot. Bot checks, blank pages, and failed loads are never billed; response headers indicate the page verdict and billing status. Its MCP server lets AI agents use tools including take_screenshot, get_page_info, and capture_pdf. The Free plan includes 1,000 shots a month with no card; paid plans start at $5 for 3,000 shots. Sign up for 1,000 free screenshots a month, with no card required.

Frequently asked questions

Should I use more than one platform?

You can, especially if one resource helps you learn and another gives you less-guided practice. Start with one, add a second only when it fills a clear gap.

Which platform should I choose for a specific database?

Check the current problem instructions and supported syntax directly. The reviewed sources do not establish a dependable dialect matrix across these six sites.

Are these platforms proven to improve interview results?

The research reviewed for this guide did not find independent comparative learning-outcome or interview-success statistics for this shortlist. Use the platforms to practice, and judge your readiness by whether you can solve unfamiliar problems and explain your choices.

Is a high question count a reason to choose a site?

It can indicate a large content collection, but does not tell you whether explanations, feedback, or questions fit your needs. Try the format and inspect the material before making the count decisive.

Sources and freshness

Platform descriptions are based on their official pages: SQLBolt, SQLZoo, HackerRank SQL, LeetCode SQL 50, DataLemur, and StrataScratch. The HackerRank characterization draws on a 2023 StrataScratch overview; StrataScratch path counts are its own current homepage figures accessed September 29, 2026. Check live pages for details that can change, including access, prices, dialect support, features, and question counts.