---
title: "Compare: Entity Bind and 12 alternatives"
summary: "Keep the feed, the platform or the library you already run: Entity Bind is the independent check on the matches it proposes. 12 comparisons, and 52 of the 137 table rows go to the alternative."
canonical_url: https://entitybind.com/compare
last_updated: 2026-10-15
copy: full
---

# Compare: Entity Bind and 12 alternatives

> Keep the feed, the platform or the library you already run: Entity Bind is the independent check on the matches it proposes. 12 comparisons, and 52 of the 137 table rows go to the alternative.

Canonical page: https://entitybind.com/compare
Last updated: 2026-10-15

## Keep the system you already run. We tell you which of its matches we would refuse.

You own a company master you have to defend, and something already matches it: a bought feed, an MDM platform, an open-source library, or a SQL script from 2019. None of them tells you which of its own matches to distrust. We do — we accept, withhold or contradict each one, and cite the register page that settles it. These 12 pages put Entity Bind beside each alternative, losses included.

- 12: comparisons, on 4 shelves
- 52: of 137 table rows where the alternative wins
- 74: rows where we do
- 11: rows that are even

## Data providers and registers

They hold or publish the data, and every page on this shelf concedes coverage in its own table: we hold no global company graph and are not building one. If you already buy one of these, run Entity Bind beside it — what is on offer is a decision about a record you already have, with the register page that supports it.

- [Entity Bind vs OpenCorporates](https://entitybind.com/compare/opencorporates) (2/9 rows to them): Open register data, cheap, and legitimately excellent at being a register mirror. A register mirror is not a decision. We resolve which record is yours, and say when we cannot.
- [Entity Bind vs Companies House](https://entitybind.com/compare/companies-house-api) (3/12 rows to them): Free, authoritative, and the right answer for a clean UK file. It is also one of our own live sources. A search returns candidates; we return a decision, a confidence with a floor beneath it, and a refusal where the evidence will not carry a match.
- [Entity Bind vs PermID](https://entitybind.com/compare/lseg-permid) (4/11 rows to them): Free permanent identifiers for organisations, instruments and quotes, and largely unrivalled in capital markets. Register-shaped rather than market-shaped. We do not issue PermIDs and cannot supply one — the crosswalk says so.

## Resolution engines and platforms

They resolve what you give them, inside your own estate, and one of them is free and open source. The difference is where the evidence comes from: these match your records against your records, while a decision here can go to the register for the fact your file does not contain, refuse below the confidence floor, and cite the page it read.

- [Entity Bind vs Senzing](https://entitybind.com/compare/senzing) (5/12 rows to them): A mature engine you run in your own estate, priced per record held rather than per decision, and it resolves people too. Hosted, companies only, and it goes to the register for the evidence your file does not contain — then cites the page it read.
- [Entity Bind vs Splink](https://entitybind.com/compare/splink) (5/12 rows to them): Free, open source, Fellegi–Sunter done properly, and it runs where your data already is. The same family of method, plus register evidence, a published refusal floor and a receipt. If your file is clean, use Splink.
- [Entity Bind vs AWS Entity Resolution](https://entitybind.com/compare/aws-entity-resolution) (5/12 rows to them): Cheap, inside the account you already have, and it needs no new vendor, contract or security review. It matches your tables against your tables. We bring outside evidence, refuse below the floor, and charge nothing for the refusal.
- [Entity Bind vs Tamr](https://entitybind.com/compare/tamr) (5/12 rows to them): Machine-learning mastering at enterprise scale, across suppliers, customers and parts, improving as your experts label. No labelling programme. The register is the label, every decision carries a receipt, and we will contradict your own history with a citation.
- [Entity Bind vs MDM platforms](https://entitybind.com/compare/informatica-and-reltio) (5/12 rows to them): The system of record, with the stewardship workflow, hierarchy management and downstream publication that implies. A decision layer beside one. We hold no master, write nothing back, and give the platform an outside opinion with a citation.

## What you would otherwise do

Neither of these is a product, and they are the alternatives that win most often. A comparison section that left them out would be a brochure with tabs.

- [Entity Bind vs Fuzzy matching](https://entitybind.com/compare/fuzzy-matching) (3/10 rows to them): Free, in your warehouse today, and perfectly good at catching the obvious duplicates. A similarity score is not calibrated. Ours is measured against labelled outcomes and refuses to bind below the floor.
- [Entity Bind vs Build it yourself](https://entitybind.com/compare/building-it-yourself) (3/11 rows to them): The right answer if entity resolution is your product. Several teams have done it well. Eighteen months of register adapters, licence handling and calibration you would rather not own.

## Not what we are

Two pages that refuse a category rather than compete in one. A buyer who needs contacts and firmographics, or a screening control a supervisor will accept, is in the wrong shop, and the cheapest place to find that out is a heading rather than month three of an integration.

- [Entity Bind vs Enrichment vendors](https://entitybind.com/compare/zoominfo-and-clearbit) (5/12 rows to them): Contacts, titles, intent and firmographics wired into a CRM. A different product, and the right one for a revenue team. No people data, ever. We decide whether the company profile is attached to the right company, and cite the register that says so.
- [Entity Bind vs Screening tools](https://entitybind.com/compare/sanctions-screening-tools) (7/12 rows to them): List coverage, person matching, alert workflow and a methodology a supervisor accepts. All of it out of scope here. Not a screening tool, and not usable as one. We resolve the identity underneath the screen, so the list runs against a company rather than a spelling.

## Beside the system you already run, not instead of it

All 12 comparisons end in the same place. Keep the feed, the platform or the library. Point it at us and every match it proposes comes back accepted, withheld or contradicted, each one carrying a register page you can open in thirty seconds.

### Built for

Teams with a company master they have to defend — an MDM or stewardship queue, a CRM after a migration or a merger, a supplier file before a payment run, or counterparty onboarding that has to survive an audit. You already have something that produces matches. What it cannot give you is a second opinion on its own work.

### Wrong for

Buying breadth as the product: we hold a fraction of an incumbent’s records and are not building a global company graph. Entity Bind resolves companies and organisations only. It does not resolve people, vessels, bank-account ownership, sanctions exposure, emissions or geolocation, and its results may not be used for eligibility decisions about individuals, including employment, credit and tenancy.

Self-service. Create your workspace online and verify your email to start matching company records. Free starts with 300 credits and no card. Paid monthly plans are available in workspace Billing; VAT is added where applicable. Usage is tracked without automatic overage charges. [Trust and security](https://entitybind.com/trust)

## 52 of the 137 rows go the other way

Counted from the tables themselves. Open one to read the rows it loses, in that page’s own words.

### Data providers and registers (9 of 32 rows)

#### OpenCorporates (2 of 9)

- Jurisdictions: Register mirrors across a very large number of jurisdictions.
- Cost of a lookup: Cheap or free.

[Read the whole table →](https://entitybind.com/compare/opencorporates)

#### The Companies House API (3 of 12)

- Cost and procurement: Free, under the Open Government Licence v3.0, with no contract, no supplier review and no third party in the path.
- Exact-name lookup: Works, and for most of the register that is genuinely enough: 99.53% of 5,464,811 live companies on the UK register have a unique name.
- Officer-level detail: Full officer records and person-level filings, published by the register.

[Read the whole table →](https://entitybind.com/compare/companies-house-api)

#### LSEG PermID (4 of 11)

- Cost: Free on the open tier, which is difficult to beat.
- Instruments, quotes and funds: Identifiers for securities, listings and quotes, joined to their issuers.
- Listed issuer coverage: Global market coverage maintained by a capital markets reference data business.
- Can you get a PermID from us: They issue it, so obviously yes.

[Read the whole table →](https://entitybind.com/compare/lseg-permid)

### Resolution engines and platforms (25 of 60 rows)

#### Senzing (5 of 12)

- Where the data goes: Your own infrastructure. Nothing leaves it.
- Cost model: A per-record licence, published: $58,500 a year at ten million records on their own price list, which we have not audited. Nothing per decision.
- Entity types: People, organisations and addresses, with the alias and transliteration handling that implies.
- Scale demonstrated: Hundreds of millions of records, incrementally, in production, for years.
- External validation: Years of deployment, an implementation ecosystem, callable references.

[Read the whole table →](https://entitybind.com/compare/senzing)

#### Splink (5 of 12)

- Cost: Zero, at any volume, forever.
- Where the data goes: Nowhere. It runs in your warehouse.
- Entity scope: Anything you can featurise. People, addresses, households, products.
- Inspectability: Open source. You can read the model, the code and the tests.
- Fit to your own data: Parameters trained on your file, so the model learns your error patterns and your naming conventions.

[Read the whole table →](https://entitybind.com/compare/splink)

#### AWS Entity Resolution (5 of 12)

- Procurement and review: Already inside an agreement you have signed, with a security posture your team has already assessed.
- Price: A published $0.25 per thousand records processed, their own figure, which we have not audited.
- Where the data goes: Your account, your buckets, your keys. Nothing crosses a boundary you have not already drawn.
- Fit to an existing lake: Native to S3, Glue and Lake Formation. No pipeline to build.
- Operations at scale: Managed, elastic, and somebody else's pager.

[Read the whole table →](https://entitybind.com/compare/aws-entity-resolution)

#### Tamr (5 of 12)

- Domains covered: Suppliers, customers, products, parts and materials.
- Scale demonstrated: Hundreds of millions of records, in enterprise production.
- What is delivered: A mastered, curated dataset with golden records.
- Fit to your domain: Models trained on your experts' labels, so the system learns your conventions and your error costs.
- External validation: Enterprise deployments, references and assurance material.

[Read the whole table →](https://entitybind.com/compare/tamr)

#### Informatica and Reltio (5 of 12)

- System of record: The master itself: golden records, versions, survivorship policy, and the place the organisation agrees to look.
- Stewardship workflow: Queues, roles, approvals, four-eyes review, task assignment, a full change history.
- Domains covered: Customer, supplier, product, location, asset.
- Publishing downstream: Connectors and syndication into the consuming estate.
- Hierarchies: Managed, editable, versioned hierarchies — including the legal, tax and sales structures that no register publishes.

[Read the whole table →](https://entitybind.com/compare/informatica-and-reltio)

### What you would otherwise do (6 of 21 rows)

#### The fuzzy matching you already run (3 of 10)

- Cost per record: Zero, at any volume.
- Where the data goes: Nowhere. It stays in your warehouse.
- Scope: Anything you can featurise.

[Read the whole table →](https://entitybind.com/compare/fuzzy-matching)

#### Building it yourself (3 of 11)

- Control over behaviour: Complete.
- Fit to a non-company domain: Whatever you build it for.
- Unit cost at very high volume: Compute.

[Read the whole table →](https://entitybind.com/compare/building-it-yourself)

### Not what we are (12 of 24 rows)

#### ZoomInfo and Clearbit (5 of 12)

- Contacts and people data: The core of the product: names, titles, emails, phone numbers, seniority, job changes.
- Firmographic breadth: Millions of company profiles with sizes, revenues, industries and hierarchies, including private companies.
- Intent and technographics: Behavioural and technology signals with no open equivalent.
- Where the work happens: Inside the CRM, on the list, in the form, at the moment the rep needs it.
- Time to value for a revenue team: Same day. A list gets enriched and somebody calls somebody.

[Read the whole table →](https://entitybind.com/compare/zoominfo-and-clearbit)

#### Sanctions and screening tools (7 of 12)

- Sanctions and watchlist coverage: Hundreds of lists, ingested, versioned and dated.
- Politically-exposed persons and adverse media: Covered, and expected by regulators.
- Screening a person: The core of the discipline, with alias, transliteration and date-of-birth handling.
- Ongoing monitoring: Counterparties rescreened as designations change, on a schedule you set.
- Alert workflow and disposition: Queues, escalation levels, four-eyes review and a disposition record per alert.
- Regulatory standing: Methodologies, tuning evidence and model validation that supervisors recognise.
- Risk flags on a record: A designation, a hit, a risk rating — the output the workflow is built around.

[Read the whole table →](https://entitybind.com/compare/sanctions-screening-tools)

If one of those rows decides your purchase, run a sample beside what you already have: the difference falls somewhere specific, and only your own rows say where. Create your Free workspace and upload a CSV, or contact us for an assisted comparison. [Start free →](https://app.entitybind.com/app?signup=1)

## How to test this against the vendor you already pay

A table cannot weigh a trade-off against your file. This gives you a number about your own rows instead.

1. Send a sample with the matches already proposed. Your record, your key column, and the match your current provider or process returned for it. A few hundred rows is enough, and small enough that nobody needs a procurement process to send it.
2. We accept, withhold or contradict each one. A match we would not have made comes back contradicted, citing a register page you can open in thirty seconds. One the evidence will not carry at the confidence floor comes back withheld, not downgraded.
3. Read it per provider, per jurisdiction, per evidence tier. One agreement rate hides where the incumbent is strong, where it is guessing, and which jurisdictions account for the disagreement.
4. Know what is not in the pack yet. A packaged incumbent-contradiction file is not part of the audit pack today. This comparison is a working session with our output beside yours, not a file that lands in your inbox.

Create your Free workspace and test your own company CSV; we write nothing back to the systems it came from. Paid subscriptions activate greater depth in Billing. The separate full-pipeline evaluation remains request-only and is not activated by signup. [Start free →](https://app.entitybind.com/app?signup=1)

## Three things no comparison here wins

### Coverage

We hold no global company graph and are not building one. Five registers are measured; Germany publishes nothing usable and Delaware sells no bulk data at any price, so those are holes rather than limited coverage. Breadth is what an incumbent feed is for; run us alongside one and we will say which of its matches we would not have made.

### Standing

If you already run a licensed company-data feed or a master data management platform, run Entity Bind alongside it. It is the independent decision and evidence layer: it tests, repairs and governs the matches those systems propose, and it will contradict them with a citation when they are wrong.

### Readiness

It is an early-stage product, sold and priced as one. Global data breadth and independent market validation are not yet at incumbent scale, and the accuracy figures come from internal fixtures rather than an external holdout.

### What we do not hold

- No SOC 2. It has not been started.
- No independent external validation of the accuracy figures. Every fixture is one we built.
- No production customer holdout. The evidence is internal.

The retention, erasure and tenancy detail a security review asks for is on the trust page, with where assurance stands: no SOC 2, no external validation of the accuracy figures, no customer holdout. [Trust and security →](https://entitybind.com/trust)

[Coverage by register](https://entitybind.com/coverage) · [Every figure, its population and what it does not show](https://entitybind.com/accuracy)

## What a shortlist is actually decided on

Three families this page argues about and does not hold: the job, the registers underneath it, and the column in your own file.

- [The jobs a shortlist is drawn up for](https://entitybind.com/use-cases): The jobs this gets bought for, what breaks in each one today, and what the wrong merge costs to unwind once it has been made.
- [Where most of these are actually settled](https://entitybind.com/coverage): The registers a request can reach today, the licence instrument each publishes under, what may be stored rather than only returned, and the coverage this product does not have.
- [The column that decides without a vendor](https://entitybind.com/identifiers): Which of the identifier columns already in your file settle a match on their own, who issues each one, the exact shape a value takes, and what goes wrong with it.

## Settle it on your own rows.

Create your Free workspace to inspect your own company records. For an assisted comparison with your current provider, contact us with a few hundred rows and its proposed matches; we accept, withhold or contradict each one, cite the evidence and write nothing back to the source system.

[Start free](https://app.entitybind.com/app?signup=1) · [Plans and prices](https://entitybind.com/pricing)

300 credits. No card.

For a guided review of your file, explore [the Merge Safety Sprint](https://entitybind.com/audit-pack).

## Questions a shortlist turns on

Eight questions that apply whichever alternative you are weighing, so they sit on the hub and not on one comparison page.

### How is this different from the fuzzy matching we already do?

Two differences, and only one of them is about the score. The first is calibration: a similarity score of 0.87 is a statement about two strings, while a calibrated confidence is a statement about how often decisions like this one have turned out right, computed from recorded trial and error counts with no tunable term in the module. The second is what happens at the bottom of the range. A fuzzy matcher always returns its best candidate and leaves the threshold to you; Entity Bind refuses to bind below 0.90 confidence and returns an abstention carrying a ranked shortlist and the one column that would have decided it. Keep your fuzzy matcher for the obvious duplicates. This is for the rows that cost you money when they are wrong.

### Can you prove you are better than the vendor we already pay?

Not in the abstract, and not from a benchmark we ran ourselves. What we can do is adjudicate their proposals on your data: send your record with the match your incumbent proposed, and we accept it, withhold it or contradict it independently, per provider, per jurisdiction and per evidence tier. That produces a number about your file rather than about a fixture, and it is checkable, because every contradiction cites a register page you can open. One thing we do not currently ship is a packaged incumbent-contradiction ledger inside the audit pack — that file is absent by declaration rather than empty — so the comparison is a working session today rather than a download.

### We already have an MDM platform. Where does this fit?

Beside it, as the layer that decides and evidences rather than the one that stores. A master data platform is very good at governance workflow, stewardship, hierarchy management and pushing a golden record to the systems that consume it, and none of that is on offer here. What it usually does not have is an independent admission policy: the matching rules are yours, tuned by your stewards, and there is nothing outside the platform to contradict them with a citation. Entity Bind is that outside opinion, with a receipt per decision and a floor it will not cross, feeding the stewardship queue rather than replacing it. If your stewards are drowning, the abstentions are the work list.

### Has any of this been validated externally?

No. Every fixture is internal and repository-authored. The per-tier table rests on 317 live GB companies sampled from the 2026-08-01 Companies House snapshot, with same-name siblings included. Identifier-rich arrivals seed the catalogue before the weaker input shapes are evaluated. The continuous-integration gate rests on 1,176 labelled company pairs — 216 handwritten adversarial, 960 generated from a fixed seed — plus a 705-record fixture over 250 UK-registered companies. There is no customer holdout, no time or jurisdiction split, no blinded head-to-head against a named competitor, no independent laboratory validation and no third-party penetration test. The internal readiness rubric scores external validation 3 out of 15 and the product 74 out of 100 overall, which is why the site says early-stage rather than proven. What is available in its place is the method, the fixtures and the failure cases in full, and an evaluation that begins by running your file rather than by reading ours.

### Do you have SOC 2?

No. Not SOC 2 Type I, not Type II, not ISO 27001. It has not been started, no auditor is engaged and there is no target date. There is also no third-party penetration test and no bug bounty; the security review is internal and adversarial, but it is our own. If your procurement floor requires any of those, you cannot buy this today, and it is worth establishing that on the first call. What does exist is a trust document naming the file, test or architectural decision that enforces every claim it makes, so each control can be checked rather than taken on trust. The gap between that and SOC 2 is the independent attestation that the controls operated over a period.

### Which countries do you actually cover?

Five registers carry measurements: the United Kingdom (Companies House, the baseline), the United States via Colorado and via SEC filers, France (SIRENE) and Norway (Brønnøysund). Combined three-region parity against the UK baseline measured 0.999955 against a pre-declared 0.9565 bar, at zero model spend, with no false binds in any register. Adapters for Finland, Czechia and Poland are wired but carry no evaluation fixtures, so they have no measured quality and we do not sell them as covered. Everything else in the source inventory is a planned build with a cost in engineer-days rather than a present capability. The claim is per register, never per continent.

### Do you have ownership or UBO data?

Some, cited, and bounded. Ownership rides along from GLEIF Level 2 relationship records and the UK persons-with-significant-control register, with every edge carrying its basis and its certainty — because GLEIF's "parent" means accounting consolidation while a credit bureau's means majority legal ownership, and rendering both as one parent field is wrong in a way nobody can see. Traversal defaults to one hop and may be raised to ten, is cycle-safe, fails closed on ambiguous or name-only owners, and always populates what it did not walk, so you cannot infer depth from an empty field. It is bounded by LEI adoption, so an incomplete path is an absence of coverage rather than an absence of owners.

### Do you have company financials?

For UK companies, headcount and balance sheet yes, revenue essentially no — and the reason is law rather than implementation. Only about 2% of the live UK register has to file a profit and loss account at all, and under 1% of filings in a sampled day carried a machine-readable turnover figure. Over 18,894 real filings, average employees reached 90.3% coverage and net assets 85.9%. Turnover for large issuers lives in ESEF instead, tagged on roughly 83% of regulated-market issuers. For a German GmbH, a French SARL or a US LLC there is no revenue, assets or profit available from any open source at any price. Quote headcount and balance sheet; treat revenue as a bonus.

---

The 0.90 confidence floor. It is an acceptance contract, not calibration evidence: it says what we refuse to return, not how often an accepted match is right. Read it with the coverage it costs.

Internal fixtures only. The historical 2026-08-29 per-tier recording covers 317 GB companies with identifier-rich arrivals seeding the catalogue first; the context tier includes country and registered-town prose. Its legacy replay has no full-prompt-verified calls and cannot certify current calibration. The September 5 CI reports cover 1,176 labelled pairs and 705 records over 250 companies using offline stubs. These are not independent customer holdouts or live production validation; the 99% minimum-input product target remains unmet. Scope is company and organisation identity only — not people, vessels, bank-account ownership, sanctions or emissions. Results may not be used for eligibility decisions about individuals, including employment, credit and tenancy.

This is the Markdown copy of https://entitybind.com/compare, assembled from the same data the page renders and carrying every sentence, table row, figure and question the page's main content carries. The HTML page is canonical; it adds the layout, the navigation and the interactive parts (the ask panel, the forms), which a copy can name but not run. Every page on the site, with a line on each: https://entitybind.com/llms.txt.