Datanyze vs Techsalerator: Which One Actually Delivers?
Comparing Datanyze and Techsalerator is like comparing a screwdriver to a lumber yard. Datanyze is a Chrome extension for technographic lookups - browse a company's site, see what software they run, pull contact details on a credit system. Techsalerator is a bulk data vendor selling massive B2B and B2C datasets across 200+ countries through a quote-based sales process. There is a head-to-head comparison page online, but it's Techsalerator's own marketing page, and it doesn't show pricing or offer an independent perspective.
With the technographic data market valued at roughly $1.17 billion, the category matters. This specific matchup, though, is lopsided. These tools solve fundamentally different problems.
30-Second Verdict
Pick Datanyze for technographic intelligence - which tools a company uses, competitive market share data - at a transparent price ($29-$55/mo).
Pick Techsalerator for bulk global datasets spanning B2B and B2C records, if you're comfortable with quote-based pricing and validating data quality yourself.
Skip both if your core need is verified emails and direct dials for outbound. Neither tool is built for that.
Side-by-Side Comparison
Here's how the three stack up across what matters most:

| Criteria | Datanyze | Techsalerator | Prospeo |
|---|---|---|---|
| Pricing | $29-$55/mo ($21-$39 annual) | $1,000-$10,000+ per project | Free tier; ~$0.01/email paid |
| Coverage | 35M companies (technographics) | 320M+ companies | 300M+ profiles |
| Data types | Technographic + contact | B2B + B2C bulk files | Verified emails + mobiles |
| Data refresh | Not published | Not published | Every 7 days |
| Email accuracy | Not published | Unverified | 98% verified |
| CRM integrations | CSV export + list management | Claims Salesforce/HubSpot sync (no public docs) | Salesforce, HubSpot + 8 more |
| Compliance | GDPR, CCPA | GDPR, CCPA | GDPR compliant |
| Self-serve | Yes (Chrome extension) | No (quote process) | Yes (no contracts) |
| Review score | 4.1/5 on G2 (446 reviews) | 3.0/5 Trustpilot (9 reviews) | 15,000+ companies |

Datanyze caps you at 80 credits for $29/mo with no published refresh cycle. Techsalerator reviewers report single-digit deliverability on purchased lists. Prospeo refreshes all 300M+ profiles every 7 days and delivers 98% email accuracy - at roughly $0.01 per email with a free tier to prove it.
Stop gambling on data quality. Start with 75 free verified emails.
Datanyze - Strengths and Gaps

Datanyze tracks 70,000+ software products, making it a strong technographic tool at its price point. The Chrome extension workflow is fast: browse a company page, see their tech stack, reveal contact info, export. Done.
Pricing is transparent. Pro 1 runs $29/mo for 80 credits, Pro 2 is $55/mo for 160 credits ($21/mo and $39/mo billed annually), with each credit revealing one contact. There's also a free Nyze Lite tier with 10 credits/month for a 90-day trial.
If you're building a broader outbound stack, pair technographics with sales prospecting techniques that actually convert.

For SDRs selling into specific technology ecosystems - targeting companies running Marketo or Salesforce, for example - it's a focused, useful tool. If you only need technographic lookups without contact data, BuiltWith is an alternative worth checking.
In our experience, 80 credits burns through in about two weeks of active prospecting. That's roughly four contacts per business day. Industry data suggests 22.5-30% of contact data decays annually, and Datanyze doesn't publish its refresh cadence, which is a real blind spot if you're relying on those contacts for live outbound campaigns. (If you're trying to reduce bounces, start with the basics of email bounce rate.)
One gotcha: if you cancel your subscription, all previously revealed contacts get locked until you re-subscribe.
Techsalerator - Claims vs Reviews
Techsalerator positions itself as a global data powerhouse - 320M+ companies, 2 billion consumer records, 200+ countries, 200 fields per business. The reality is murkier.
If you're evaluating vendors in this category, it helps to benchmark against other B2B company data providers first.

Positive Datarade reviewers (4.9/5, though only 5 reviews on an unclaimed profile) praise quick turnaround and responsive communication. One reviewer noted that when half the emails bounced, support resent an updated slice promptly. Delivery is commonly handled via bulk files and API, and Techsalerator is also listed through data marketplaces including Databricks and Snowflake.
The Trustpilot score sits at 3.0/5 across 9 reviews, and the negative ones are rough. One buyer reported only 3% deliverability on a purchased email list. Another waited months for a refund on an incorrect dataset. A third described the experience as "overpromise and underdeliver" with ignored support emails.
Here's the thing: when a data vendor won't show you pricing, won't publish refresh cadences, and has reviewers reporting single-digit deliverability rates, you're not buying data - you're gambling. Always request a sample and validate it yourself before committing any real budget. Expect project-based quotes in the $1,000-$10,000+ range depending on dataset scope. (If you need a framework for this, see our breakdown of data enrichment services.)
When to Skip Both
If your real problem is getting emails that don't bounce and phone numbers that connect, neither Datanyze nor Techsalerator is built for that.
If you're doing outbound at any scale, you’ll also want an email deliverability guide to avoid burning domains.


Neither Datanyze nor Techsalerator publishes a data refresh cadence. With 22-30% annual contact decay, that's a deliverability risk you're absorbing blind. Prospeo refreshes every 7 days - 6x faster than the industry average - and backs it with 98% verified accuracy and 125M+ direct dials.
Get emails and mobiles that actually connect - no quotes, no contracts.
Final Recommendation
Technographic intelligence → Datanyze. Affordable, transparent, focused.
If you’re stitching together multiple tools, a repeatable lead generation workflow matters more than any single database.

Bulk global datasets → Techsalerator, but verify a sample first. The Trustpilot reviews warrant real caution.
Verified emails and direct dials → Prospeo. 98% accuracy, weekly refresh, self-serve pricing.
Let's be honest about this matchup: Techsalerator's refusal to publish pricing in 2026 tells you everything about the buying experience. That's not inherently disqualifying, but it means you're buying on trust, and the review evidence says that trust needs to be earned with a sample first. For most outbound teams weighing Datanyze vs Techsalerator, the honest answer is that neither fully solves the prospecting problem on its own. One gives you tech stack intelligence. The other gives you bulk files of uncertain quality. Neither gives you verified, ready-to-dial contact data out of the box.
If you want a broader shortlist, start with our guide to sales prospecting databases.
FAQ
Is Techsalerator legit?
Techsalerator is a real vendor, but quality is inconsistent. Trustpilot shows 3.0/5 with complaints about single-digit deliverability and months-long refund waits. Always request a sample dataset and run it through an email verifier before committing budget above $1,000.
Does Datanyze have an API?
Yes, but Datanyze is primarily a Chrome extension tool designed for individual lookups. If API-driven enrichment at scale is your core workflow, you'll outgrow it quickly. For reference, Prospeo offers a 92% API match rate with 50+ data points per contact.
What's the cheapest way to get verified B2B emails?
Prospeo's free tier gives you 75 verified emails per month at zero cost. Paid plans work out to roughly $0.01 per email with no contracts - that's about 90% cheaper than enterprise providers like ZoomInfo.
Can I use Datanyze and Techsalerator together?
You can, but it's expensive and redundant. Datanyze identifies tech stacks; Techsalerator provides bulk contact files. A single platform with technographic filters and verified contacts eliminates the need to stitch two tools together and validate data from two different sources.
