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DataUntangler

Dedupely alternative for the list you have not imported yet

Dedupely is a CRM deduplication app. It connects to HubSpot, Salesforce, Pipedrive and Zoho CRM, among others, finds duplicate records on the fields you choose and merges them through the CRM, by hand or on a schedule. If the duplicates already live in your CRM, it is built for that. DataUntangler is built for the step before: the event list, the legacy export or the purchased file that is about to be imported, and that needs more fixing than merging.

The short answer

Keep Dedupely, or pick it, if your duplicates are already inside HubSpot, Salesforce, Pipedrive or Zoho CRM and you want them merged there, on a schedule, with activity and associations carried over. Pick DataUntangler if the problem is a file: duplicates plus broken dates, mangled names and dropped leading zeros, cleaned before import, with every change shown to you first and a change log you can hand to whoever asks.

01 See it for yourself

Run the whole tool on a messy file before you compare

Nothing to install. Load a sample or drop your own CSV and read the diff.

1. Load a file

Your file is read on your own machine. Nothing is uploaded, so nothing can leak.

Or start from a messy sample

Status

Loading the sample file.

File: CRM contact export

Rows

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Columns

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Changes

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Duplicate rows

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Date formats

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Blank or invalid emails

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Load a file to see the diff

Drop a CSV or pick one of the messy samples. Every proposed change appears here as a line you approve or reject.

02 Side by side

DataUntangler compared with Dedupely

Every row is a public, category level fact you can check on Dedupely's own site. What this table deliberately leaves out is set out further down the page.

Dedupely DataUntangler
What it is A deduplication app that merges records through your CRM A data cleaning tool for a file, before it reaches any system
Connects to HubSpot, Salesforce and Pipedrive, plus Close, Nimble, Google Contacts and CSV upload Nothing. You open the page and drop the CSV
Access it needs A connection to the CRM, and a Super Admin on HubSpot None. The demo reads the file inside your browser tab
Duplicate matching Match options on the fields you pick, exact or similar Email, normalized name and company, then a fuzzy pass, run for you
Formatting fixes Built around finding and merging duplicates Dates, currencies, encoding, casing, US states and leading zeros
Review before anything changes Manual Review holds matches for approval, or Auto Merge applies rules Every proposed change, merges and cell edits alike, shown as a diff
Automation Auto Merge on a schedule you set None. You run the pass when the file arrives
Record of what changed Merge history inside the app A change log you download as its own CSV
Pricing model Based on the number of synced CRM records, no per user fees One flat plan with unlimited files
03 Where each one is the better answer

What Dedupely is genuinely better at

Merging records where they live. When two HubSpot contacts are the same person, the fix that matters is a merge inside HubSpot, so the emails, deals, notes and owner end up on one record. Dedupely does that through the CRM itself, across contacts, companies, deals and custom objects, and it lets you choose field by field what survives. DataUntangler cannot. It works on a file, and the merges it proposes are rows in a CSV, not records in your portal.

Keeping a CRM clean without anyone remembering to. Auto Merge runs your saved rules on a schedule and catches duplicates as new records arrive from forms and integrations. For a sales team whose CRM fills up every day, that is the right shape of product, and a tool you run by hand when a file shows up is not.

It is also priced for teams. Dedupely does not charge per user, so the whole RevOps team can work in it, and the price follows the size of the CRM rather than the headcount. For a small portal with a few thousand contacts, a record based plan can be the cheaper option, and we would rather say so here than have you find out later.

Why teams look for a Dedupely alternative

The people who search for one are rarely unhappy with how Dedupely merges. They usually have a problem that does not look like CRM duplicates, and four patterns come up again and again.

The file is dirty in more ways than duplicates

A trade show export with dates in three formats, company names in capitals, ZIP codes that lost their leading zero and names that read Muñoz instead of Muñoz. Merging duplicates leaves the other four problems in place, and they go into the CRM with the import.

Nobody will grant a CRM connection

Connecting a third party app to a production HubSpot needs a Super Admin and, in many companies, a security review. A tool that reads a CSV you already exported skips that conversation, because there is nothing to connect.

The data is not in a CRM at all

A customer master exported from an ERP, a vendor list headed for NetSuite, a member file from an association database. The job is to clean the file and hand it on, and a CRM app is the wrong starting point.

Record based pricing climbs with the portal

A plan that follows synced records works well while the CRM is small. A large portal that only needs a big cleanup before a migration can pay for record volume it does not touch once the migration is over.

A merge inside the CRM is the one change you cannot take back

HubSpot documents it plainly: once two records are merged, they cannot be unmerged. Dedupely says the same about every tool that merges through HubSpot, which is why its Manual Review exists. That is a good reason to be careful about what gets into the CRM in the first place, and it is the whole case for cleaning the import file before it goes in.

A duplicate caught in the file costs nothing. It is a row you drop before the upload. The same duplicate caught a month later has activity on both copies, two owners and possibly two open deals, and merging it means deciding which history wins. On HubSpot specifically, the portal side of that is covered on HubSpot deduplication, and for an org export the same pass is Salesforce deduplication.

So the order that works for most teams is file first, CRM second. Clean and dedupe the list here, import only what survives, and leave the ongoing hygiene inside the CRM to whichever tool you already trust there.

What cleaning the file before import actually fixes

  1. 1 Drop the export into the data cleaning tool. It reads the columns, works out which ones hold emails, names, companies, dates, amounts and ZIP codes, and proposes changes without touching the original.
  2. 2 Read the duplicate clusters. Each one shows the rows it grouped, why they matched (same email, same name and company, or a close fuzzy match) and the most complete row picked as the one to keep.
  3. 3 Approve or reject the formatting fixes: four date formats rewritten to one, currency symbols and thousands separators removed, casing standardized, broken characters repaired and leading zeros put back on ZIP codes and account numbers.
  4. 4 Download the cleaned CSV and the change log. Import the first into HubSpot, Salesforce or Pipedrive, and keep the second for the person who asks next quarter why 214 rows disappeared from the list.

Picking between Dedupely, Insycle, and a file cleaner for your job

These three get shortlisted together and they are not the same kind of product. Dedupely is a focused deduplication app for a handful of CRMs, with auto merge and pricing by record count. Insycle is a broader CRM data management platform for HubSpot, Salesforce, Pipedrive, Intercom and Mailchimp that also handles bulk updates, formatting and recurring operations inside the CRM, which makes it the heavier choice. We compared that one honestly on the Insycle alternative page.

A file cleaner sits upstream of both. It never touches the CRM, which is its limit and also its advantage when the file has not been imported yet or cannot be connected. If your duplicates are in the CRM today, pick between the first two. If they are in a spreadsheet on your desktop, clean it before either of them ever sees it.

Who switches, and who should not

The people who reach for a file cleaner instead of a CRM app are usually a marketing operations or RevOps manager holding an event list, a data migration lead moving from one CRM to another, or a finance analyst whose customer master never lived in a CRM. For them the duplicates are one symptom of a messy file, and the audit trail matters because someone signs off on the import. The matching underneath is fuzzy matching scored into clusters, and the broader pre-import workflow is CRM data cleansing.

The people who should stay on Dedupely are anyone who needs duplicates merged inside the CRM, continuously, with activity history carried across. DataUntangler has no connectors, no scheduling and no write back to any CRM, and it will not have them on any plan. If you are not sure which side you are on, drop the next file you were about to import into the demo at the top of this page and count how many of the proposed changes are merges and how many are everything else.

04 What is not claimed here

The limits of this comparison, stated on the page

A comparison page written by one of the two products is worth exactly as much as what it admits.

No prices for Dedupely

We have not verified their pricing page today, and a stale price quoted by a competitor is worse than no price at all.

No scores and no stars

There is no rating on this page, in the markup or anywhere else on this site, because there are no reviews behind one.

Category facts only

Every row of the table is something published on their own site: what it runs on, how it is licensed, how you drive it.

Check it yourself instead

The demo at the top runs the real engine on your own file, which settles the comparison faster than either of our marketing pages will.

05 Before you switch

Questions about switching from Dedupely

What are the alternatives to Dedupely?
It depends where the duplicates are. Inside HubSpot or Salesforce, the usual alternatives are Insycle and Koalify for HubSpot, or Cloudingo and DataGroomr for Salesforce, plus the native duplicate tools in each CRM. For a file that has not been imported yet, a data cleaning tool such as DataUntangler dedupes and fixes the formatting before the upload.
Can you undo a merge in HubSpot?
No. HubSpot states that merged records cannot be unmerged, and that applies to any app that merges through HubSpot, Dedupely included. The Merged IDs property shows which records were combined, but restoring them means recreating records by hand. That is why reviewing matches before they merge, or removing duplicates from the import file first, matters so much.
Does HubSpot have a built-in deduplication tool?
Yes, on Professional and Enterprise accounts. HubSpot suggests duplicate contacts and companies under Manage Duplicates, matching on properties it trusts such as email and company domain, and you merge the pairs one at a time. Records that came in through spreadsheet imports with different emails or misspelled names often slip past it.
Does DataUntangler connect to HubSpot, Salesforce or Pipedrive?
No. DataUntangler works on the CSV you export or are about to import. It returns a cleaned file and a change log, and you load the cleaned file into the CRM yourself. There is no connection to approve, no Super Admin access to grant, and nothing in the CRM changes until you run the import.
Do I need to install anything to try it?
No. The demo at the top of this page runs the real engine in your browser tab, so the file is never uploaded anywhere. Drop in the list you were about to import, read the proposed duplicate clusters and formatting fixes, and compare that with what you would have merged by hand afterwards.

Clean the file, and keep the record of what changed

Try the demo on your own CSV first. It runs in your browser, it costs nothing, and no card is required.

No card required. Your file never leaves your computer.

Clean a file