ALQEN vs. DataSpark
Which Tool Is Right for You?
Are you searching for the best competitive intelligence solution to scale your e-commerce or wholesale business? You may have come across DataSpark and ALQEN—both popular tools among sellers looking to optimize their online listings and uncover profitable product opportunities.
But which solution is the right one for you?
In this in-depth comparison, we’ll dissect each platform’s key features, advantages, and limitations to help you make an informed decision. Let’s dive right in!
Table of Contents
- Overview: What Are ALQEN and DataSpark?
- Feature Breakdown
- Insider Insights
- Wholesale Analyzer
- Real-Time Scans
- Processing Speed
- Accurate Profit Analysis
- Sales Estimates
- File Capacity
- Account Connection
- Platform Support
- Market Insights
- Keepa Historical Data
- Multi-Pack Correction
- Reviews & Ratings
- Minimal Modern UI
- Customization
- Brand Blocklist
- Export Options
- Support & Community
- Future Integrations & Mobile App
- Which Should You Choose?
- Final Word
- Quick Feature Comparison Chart
Chapter 1: Overview—What Are ALQEN and DataSpark?
ALQEN
ALQEN is an all-in-one e-commerce and wholesale analytics platform supporting both Amazon and Walmart. It offers:
- Real-Time product scans (no stale, cached data)
- High-speed file processing (up to 1 million products/hour verified)
- Accurate fees tracking across FBA, FBM, WFS, and more
- No seller account connection required, ensuring privacy
- Advanced AI for multi-pack or bundle corrections
ALQEN focuses on speed, reliability, and automation, helping you find profitable opportunities without having to piece together multiple tools.
DataSpark
DataSpark is known as an approved Walmart Marketplace solution provider, heavily focused on Walmart.com data:
- Integrates sales rank changes, price history, and best-seller rank (BSR)
- Offers a Chrome Extension for embedding real-time data on Walmart product pages
- Provides a Category Explorer and Wholesale Analyzer (Walmart-only)
- Requires (in many cases) a Walmart seller account connection for full capabilities
DataSpark stands out for its Walmart-specific analysis and large database of Walmart listings.
Chapter 2: Feature Breakdown
Below, we’ll explore the major features that matter most to e-commerce and wholesale sellers—particularly those who operate on Amazon and Walmart.
1. Insider Insights
- ALQEN: Offers new insider data points like Return Rates (Low, Medium, High) for Amazon, plus in-stock rate metrics for Walmart.
- DataSpark: Does not provide these insider insights.
Key Takeaway: If return rate visibility is critical for gauging profitability, ALQEN has a big advantage here.
2. Wholesale Analyzer
- ALQEN: Supports multi-platform wholesale analysis (both Amazon and Walmart).
- DataSpark: Offers a Walmart Wholesale Analyzer but not Amazon.
Key Difference: ALQEN delivers more comprehensive wholesale coverage across marketplaces. Limitation: DataSpark is more limited when it comes to Amazon wholesale tools.
3. Real-Time Scans
- ALQEN: Pulls live data whenever you scan, matching actual Amazon or Walmart listings in real-time.
- DataSpark: Often relies on cached scans, which can lead to outdated metrics (e.g., price, sales rank).
Advantage: With ALQEN, you’ll see accurate, up-to-the-minute data—ideal for fast-changing markets.
4. Processing Speed
- ALQEN: Verifiably processes 1,000,000 products/hour.
- DataSpark: The platform’s maximum capacity is unconfirmed or unknown.
Key Difference: ALQEN is built for speed and can handle massive files. Limitation: For DataSpark, extremely large uploads might need splitting into smaller chunks.
5. Accurate Profit Analysis (FBA/FBM/WFS/Other Fees)
- ALQEN: Monitors fee changes and updates them in real-time, ensuring accurate profit calculations.
- DataSpark: Uses cached data; fees may not reflect the latest changes.
Why It Matters: Real-time fee tracking can make or break profitability decisions.
6. Sales Estimates
- ALQEN: Gathers data from 1st-party + 3rd-party insights (including Keepa) for reliable estimates.
- DataSpark: Provides close estimates, especially for Walmart products.
Tip: Sales estimates are never 100% perfect, but ALQEN’s multi-source approach may be more robust.
7. File Capacity
- ALQEN: Tested up to 1.11 million rows (1.29GB) in a single file without failing.
- DataSpark: Might require you to split large files.
Best For: Enterprise-level sellers who process massive product catalogs.
8. Account Connection
- ALQEN: No seller account connection needed, so your private seller data remains private.
- DataSpark: Requires a Walmart seller account connection to access advanced features.
Key Benefit (ALQEN): Zero risk of exposing your personal or business data through an API.
9. Platform Support
- ALQEN: Amazon + Walmart.
- DataSpark: Also Amazon + Walmart, though Walmart is the heavier focus.
Key Difference: ALQEN is strong on both platforms; DataSpark is more Walmart-centric.
10. Market Insights
- ALQEN: Market insights are coming soon, promising additional coverage.
- DataSpark: Offers integrated Walmart insights and best-seller ranks.
Limitation: ALQEN’s additional insights are not fully launched yet; DataSpark often requires extra subscription fees for advanced coverage.
11. Keepa Historical Data
- ALQEN: Keepa integration included at no extra cost—access price history, sales rank trends, etc.
- DataSpark: Often requires a separate premium subscription or plan.
Why It Matters: Historical data is crucial for seeing long-term product trends and seasonality.
12. Multi-Pack Correction
- ALQEN: AI-driven logic to detect & correct multi-pack issues in bulk.
- DataSpark: Requires manual verification.
Advantage: ALQEN’s AI saves time, although no AI is 100% perfect. Manual checks still matter.
13. Reviews & Ratings
- ALQEN: Fetches the latest reviews & ratings automatically from each scan.
- DataSpark: Relies on cached data, meaning you might see outdated reviews/ratings.
Why It Matters: Social proof is highly dynamic—outdated data can mislead pricing decisions.
14. Minimal Modern UI
- ALQEN: Features a clean, modern design.
- DataSpark: UI can be harder to navigate.
Pros & Cons: A user-friendly dashboard speeds up your workflow, but sometimes simpler UI can still have a learning curve for advanced features.
15. Customization
- ALQEN: Offers custom presets, sorting, and filtering.
- DataSpark: Limited filter or sorting options.
Benefit: ALQEN’s level of customization is ideal for sellers who want to run repeated, complex queries.
16. Brand Blocklist
- ALQEN: Includes built-in IP alerts + the ability to add your own restricted brands.
- DataSpark: No direct brand blocklist feature.
Key Difference: If you frequently run into brand/IP issues, ALQEN helps you avoid those pitfalls.
17. Export Options
- ALQEN: Supports multiple file formats (CSV, Excel, etc.).
- DataSpark: Mostly Excel only.
Who Benefits: If you need flexible exports for BI tools, ALQEN is superior.
18. Support & Community
- ALQEN: Direct access to devs, quick responses, robust community channels.
- DataSpark: Also responsive but not as direct developer access.
Summary: Both teams are known to be helpful; ALQEN might give you more 1-on-1 developer-level support.
19. Future Integrations & Mobile App
- ALQEN:
- Future integrations with inventory management, accounting, repricing tools, and more
- Mobile App is coming soon
- DataSpark:
- No announced expansions to existing services
- No mobile app
If you’re looking for a platform that keeps evolving, ALQEN seems to have a broader roadmap ahead.
Chapter 3: Which Should You Choose?
When deciding between ALQEN and DataSpark, consider the following:
-
Do you need real-time data?
- ALQEN offers scans with up-to-date metrics, while DataSpark sometimes relies on cached data.
-
Do you require multi-platform coverage (Amazon + Walmart) at enterprise scale?
- ALQEN can handle 1M+ products per hour, whereas DataSpark’s large-scale capacity is less clear.
-
Is in-depth profit analysis across FBA, FBM, WFS, or multi-pack correction critical to your business?
- ALQEN’s advanced AI handles these automatically.
-
What about pricing history or historical data?
- ALQEN includes Keepa integration by default, whereas DataSpark may need a premium upgrade or separate subscription.
-
Are you looking for simpler or more advanced customization?
- ALQEN’s broad filtering/sorting might outshine DataSpark’s limited options.
Chapter 4: Final Word
Both ALQEN and DataSpark can be powerful tools for online sellers—particularly those who want deeper Walmart.com insights. DataSpark is recognized as an approved Walmart solution, making it a strong option for merchants heavily invested in Walmart’s marketplace.
However, ALQEN is typically more comprehensive across both Amazon and Walmart, offering real-time data, massive file processing, advanced AI-based multi-pack corrections, and no seller account requirement.
- If you value speed, real-time accuracy, multi-platform analytics, and powerful customization, ALQEN could be the ideal choice.
- On the other hand, if you’re hyper-focused on Walmart and prefer a dedicated, integrated Walmart approach, DataSpark might suffice—albeit with some feature trade-offs.
Get Started with ALQEN
Ready to supercharge your product research and maximize profits? Sign up for ALQEN today and experience real-time insights, lightning-fast scans, and advanced analytics—no Walmart seller account required!
Quick Feature Comparison Chart
Feature | ALQEN | DataSpark | Key Difference |
---|---|---|---|
Insider Insights | Return Rates, In-stock metrics | None | ALQEN offers unique data points |
Wholesale Analyzer | Amazon + Walmart | Walmart-only | ALQEN covers more marketplaces |
Real-Time Scans | Yes | Often cached | ALQEN gives you up-to-date data |
Processing Speed | 1M products/hour | Unknown capacity | ALQEN is verified at large scale |
Accurate Profit Analysis | Real-time fees | Cached (less accurate) | ALQEN is always current |
Sales Estimates | Multi-source (incl. Keepa) | Close estimates | ALQEN is robust & varied |
File Capacity | 1M+ lines tested | May require splitting | ALQEN handles bigger files |
Account Connection | Not required | Walmart seller acct needed | ALQEN ensures privacy |
Platform Support | Amazon + Walmart | Amazon + Walmart | Both platforms, though DS is Walmart-heavy |
Market Insights | Coming soon | Available | DS includes integrated Walmart data |
Keepa Historical Data | Included free | Premium subscription | ALQEN includes it by default |
Multi-Pack Correction | AI-driven | Manual verification | ALQEN AI speeds up listing checks |
Reviews & Ratings | Automated live pulls | Cached data | ALQEN is more up-to-date |
Modern UI | Minimal & flexible | Can be less intuitive | ALQEN invests in UX design |
Customization | Extensive (presets) | Limited | ALQEN has more advanced options |
Brand Blocklist | IP alerts + custom | None | ALQEN helps avoid IP issues |
Export Options | CSV, Excel, etc. | Primarily Excel | ALQEN is more flexible |
Support & Community | Dev access, quick responses | Helpful but less direct dev | ALQEN offers direct dev support |
Future Integrations | Planned incl. mobile app | No announcements | ALQEN is steadily expanding |
Automated Scans | Coming soon | None | ALQEN invests in automation |
Still Not Sure?
If you’re still undecided, you can try both platforms side by side. But in most comparisons, ALQEN excels in real-time, large-scale Amazon + Walmart analytics, while DataSpark is strongly aligned with Walmart but might lack advanced capabilities for mass file processing or real-time data.
No matter which you choose, be sure to pick a solution that aligns with your core selling strategy, scalability requirements, and privacy needs. Good luck in your e-commerce journey!