Apollo.io vs Datanyze: Data Enrichment Tool Comparison
Compare Apollo.io and Datanyze side by side. See pricing, features, and integrations to choose the right data enrichment tool for your needs.
Apollo.io is a prospecting platform built for continuous list building, granting 30,000 credits per seat per year on its $49 tier. Datanyze is a small-volume technographic research tool whose paid tiers carry 80 and 160 credits a month. They are sized for different jobs rather than positioned at different price points.
Key takeaways
- Apollo's Basic tier grants 30,000 credits per seat per year upfront, against Datanyze's 80 credits a month on its entry paid tier.
- Apollo prices an email at 1 credit and a phone number at 8, so a credit grant converts directly into a list size.
- Datanyze publishes no rung sized for list building at volume, so an outbound requirement does not fit its ladder at any price.
- Datanyze's pricing page answered HTTP 403 to a plain request and to a headless browser, so the figures here come from our own pricing dataset rather than from the vendor's page.
Reviewed and updated August 28, 2026
Apollo.io vs Datanyze: Data Enrichment Tool Comparison
Datanyze sells 80 credits a month on its entry paid tier. Apollo grants 30,000 credits per seat per year. These tools are separated by two orders of magnitude in intended volume, and comparing them on features misses that entirely.
The Quick Answer
Apollo is an all-in-one prospecting platform built for continuous list building and sending. Datanyze is a small-volume technographic research tool for looking up a handful of companies at a time.
A team running outbound at any real volume will exhaust Datanyze in the first week of the month.
Teams weighing this decision often want the neighbouring comparison too, and a comparison of the same platform against an extension-first finder covers it.
Who Should Pick Which
Pick Apollo when the work is building lists. The upfront annual credit grant, the sequencing and the dialer are all built around a repeating motion, and the entry paid tier is sized for it.
Pick Datanyze when the work is checking a company before a call. Eighty credits a month is roughly four a working day, which is the shape of account research rather than list building, and the price reflects that.
The two are not really alternatives, and the pricing pages say so. A team choosing between them has usually mis-specified the job. The real question is whether the requirement is depth on a few accounts or coverage across many, and those want different products rather than different tiers of one.
Understanding the Core Difference
Apollo.io is an all-in-one prospecting platform that bundles a contact database, sequences and a dialer. Apollo is what teams reach for when they want sourcing, sending and dialling on one bill.
Datanyze is a technographic prospecting tool sold in small monthly credit bundles. Datanyze is a small-volume research tool rather than a list-building engine.
One tool is sized for a pipeline and the other for a shortlist.
Pricing Comparison
Basic
Nyze Pro 1
Apollo.io Pricing
| Plan | Price | What that rung carries |
|---|---|---|
| Free | $0 | 900 credits per seat per year, granted monthly |
| Basic | $49 | 30,000 credits per seat per year, granted upfront |
| Professional | $79 | 48,000 credits per seat per year, granted upfront |
| Organization | $119 | 72,000 credits per seat per year, granted upfront, minimum 3 seats |
Billing basis: per seat per month billed annually, with the page advertising annual billing at a saving of 24 percent.
Source: Apollo.io Pricing
Datanyze Pricing
| Plan | Price | What that rung carries |
|---|---|---|
| Nyze Lite | $0 | 10 credits a month |
| Nyze Pro 1 | $29 | 80 credits a month |
| Nyze Pro 2 | $55 | 160 credits a month |
Billing basis: billed monthly, with the dataset recording annual rates of $21 and $39. These figures come from our own pricing dataset rather than from a page this comparison read: www.datanyze.com/pricing answered HTTP 403 to a plain request and to a headless browser alike.
Source: Datanyze Pricing
Reading The Two Ladders Together
Apollo.io. Apollo is what teams reach for when they want sourcing, sending and dialling on one bill. Apollo prices an email at 1 credit and a phone number at 8 credits.
Datanyze. Datanyze is a small-volume research tool rather than a list-building engine.
Trials. Apollo.io offers a 14-day trial on the paid tiers, and the page stamps the whole ladder as introductory pricing that may change, and Datanyze offers a free tier at 10 credits a month.
What The Bill Actually Looks Like
The scenario below is a team needing 2,000 verified emails a month.
The arithmetic below is illustrative and the volumes are invented for the comparison. Apollo's figures are taken from its own pricing page. Datanyze's are taken from our pricing dataset rather than from the vendor, for the reason given in the pricing section above.
On Apollo, 2,000 emails a month is 2,000 credits, or 24,000 a year, which sits inside the 30,000 credits Basic grants per seat per year at $49 per seat per month billed annually. One seat covers it.
On Datanyze the same requirement does not fit at any published tier. The larger paid bundle carries 160 credits a month, so 2,000 would need more than twelve of those bundles running in parallel, which is not a plan the page offers. The tool is not expensive for this job; it is simply not sold for it.
That is the useful conclusion. Where a comparison produces an impossible configuration on one side, the answer is that the requirement belongs to the other product, and no discount changes it.
What Each One Gives Up
What Apollo gives up. Per-seat pricing and a bundled platform are poor value for somebody who wants to look up four companies a day, and nothing on the ladder is sized for that. The introductory-pricing stamp on the page means the modelled rate is explicitly provisional.
What Datanyze gives up. Eighty credits a month on the entry paid tier and 160 on the one above cannot support list building at any volume, and there is no larger published rung, so the ceiling is the product rather than the plan. There is no sending, no sequencing and no dialer. This comparison also has to be honest about its own evidence: Datanyze's pricing page answered HTTP 403 to a plain request and to a headless browser alike, so its figures here come from our own pricing dataset rather than from a page this comparison could read.
Features Breakdown
- 240M+ contacts database
- 30M+ companies
- AI-powered multichannel campaigns
- Email deliverability guardrails
- Anonymous visitor identification
- Real-time form enrichment
- and 4 more listed below
- Technographic data and insights
- Chrome extension for LinkedIn
- Direct email and phone lookups
- Company and contact profiles
- Icebreaker conversation starters
- Google Chrome extension
- and 3 more listed below
Apollo.io Key Features
- 240M+ contacts database
- 30M+ companies
- AI-powered multichannel campaigns
- Email deliverability guardrails
- Anonymous visitor identification
- Real-time form enrichment
- Contact and company enrichment
- Advanced filtering
- CRM data cleansing
- Pipeline boards
Datanyze Key Features
- Technographic data and insights
- Chrome extension for LinkedIn
- Direct email and phone lookups
- Company and contact profiles
- Icebreaker conversation starters
- Google Chrome extension
- Export to CSV
- Tag and note management
- Company technology stack tracking
Both lists above are what each vendor publishes about itself, so they describe what is ADVERTISED rather than what is exclusive. A capability appearing under one name and not the other usually means the two companies write their feature lists differently, and the overlap between Apollo.io and Datanyze is wider than two lists side by side suggest.
Integration Ecosystem
Apollo.io Integrations
Apollo.io connects with: Salesforce, HubSpot, Outreach, SalesLoft, Marketo, SendGrid, LinkedIn.
Datanyze Integrations
Datanyze connects with: Google Chrome, Salesforce, HubSpot.
Shared Integrations
Both tools integrate with: Salesforce, HubSpot.
The lists above are the ones each vendor puts on its own site, and they are not exhaustive. Naming a connector under one tool and not the other says which integrations each company chose to advertise, and a connector missing from a published list is often still available through a general automation platform.
Switching Between Them
A team moving off Datanyze is usually not migrating so much as outgrowing. There is little to carry: the credits do not roll over into anything, and the research it produced tends to live in a CRM already.
Moving toward Datanyze from Apollo is unusual and worth interrogating before it happens. It normally means the outbound motion has stopped rather than that the tooling was wrong, and cancelling Apollo takes the sequences, the mailbox connections and the contacted history with it. Export the suppression list before the seat lapses whatever the reason for leaving.
Where Each One Sits In A Cold Outbound Stack
Apollo can sit in the sourcing slot and the sending slot at once. Datanyze sits beside the stack rather than in it, as a research tool a person opens by hand.
With one message per campaign and no bumps, list quality is the only lever the sourcing layer has. That favours a tool with enough allowance to verify generously rather than one where every lookup is rationed, which is another way of saying the same thing the arithmetic said.
Meeting qualification is agreed in writing before launch and does not depend on which tool produced the record.
How To Run The Evaluation
A fortnight of real use answers more than a feature comparison does. The order below puts the questions that eliminate one of these tools before the questions that merely rank them.
- Yes: Write down the one job the tool has to do, in a sentence, before opening either site
- Yes: Read the billing basis on both pages, since a monthly rate and an annual rate are routinely compared as though they were the same number
- Yes: Count the people who need access, and check what each vendor charges for the second one
- Yes: Run the same real sample through both, rather than a demo dataset
- Yes: Check the ceiling that is not the price: contacts, exports, credits, seats or daily volume, whichever this pair meters
- Depends: Confirm the export path works before committing, because leaving is the expensive half
The Decision In One Table
Three rows have been dropped from the summary this article used to carry. Two of them counted the bullet lists further up this page rather than anything either vendor publishes, and the third was a founding year with no bearing on a purchase. What is left is the set of things that actually decide it.
| Apollo.io | Datanyze | |
|---|---|---|
| Entry paid rung | $49 | $29 |
| What it charges for | seats | monthly tiers |
| Free option | Yes | Yes |
| Where it sits | an all-in-one prospecting platform that bundles a contact database, sequences and a dialer | a technographic prospecting tool sold in small monthly credit bundles |
Final Thoughts
Apollo is the tool for outbound at volume. Datanyze is a research utility, and its credit allowances are honest about that.
A team comparing these two should first decide whether it is building a list or checking one, because the two jobs do not share a shortlist.
Related Reading
- Best Apollo.io Alternatives in 2026
- Best Datanyze Alternatives in 2026
- Apollo.io vs ZoomInfo: Which B2B Data Platform Should You Choose?
- Apollo vs Clay: Choosing the Right Data Enrichment Tool for B2B Sales
- Datanyze vs ZoomInfo: Data Enrichment Tool Comparison
If you would rather have this run for you, RevenueFlow books qualified meetings on a pay-per-meeting basis and publishes client results.
Pricing and features are taken from the vendors' own pages. Verify current terms with the vendor before relying on them.
Frequently asked questions.
Frequently asked questions- Can Datanyze replace Apollo for outbound?
- No, and the credit allowances say so. Datanyze's paid tiers carry 80 and 160 credits a month, so building a list of a few thousand contacts is not possible on any published rung. It is a research tool for checking a handful of companies before a call, and Apollo is the tool for building the list those calls come from.
- Why does this comparison not quote Datanyze from its own page?
- Because the page would not load. Datanyze's pricing page returned HTTP 403 to an ordinary request and to a headless browser alike from this network, so the figures here come from our own pricing dataset instead. A page that refuses to load is not evidence that a figure is wrong, only that it could not be checked here.
- What does Apollo charge for a phone number?
- Eight credits, against one credit for a verified email, according to its own pricing page. That ratio matters more than it looks: a plan sized for 30,000 emails a year supports only 3,750 phone numbers if every credit went to phones. Model the mix before choosing a tier rather than reading the credit grant as a contact count.
- Which one is better for technographic data?
- Datanyze is built around technographics, which is the reason to consider it at all, and Apollo's own strength is breadth of contact data with buying intent alongside it. If the requirement is knowing what software a small set of companies runs, that is Datanyze's job rather than Apollo's.
About the author.
Tim Carden is CMO / CTO at RevenueFlow, which builds and operates outbound revenue engines for B2B companies. Studied at McGill University.
Tim Carden · CMO / CTO
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