Lightup vs Acceldata Pricing: Which Data Quality Platform Costs Less

Short answer: Acceldata publishes real numbers and Lightup publishes none. Acceldata sells a 10,000 dollar annual platform contract on AWS Marketplace, plus a separate Data Reliability dimension at 5,000 dollars a year metered on average terabytes processed monthly and a Spend Intelligence dimension at 100,000 dollars a year per account or workspace. Lightup sells two plans that both end in a Get Quote button, with no listing on AWS Marketplace at all. So the comparison is not really cheaper against dearer. It is a forecastable contract against one you have to negotiate blind.

This comes up more often than you would expect, because the two products look adjacent on a shortlist and read very differently once you are holding paperwork. Everything below was checked at the source on September 21, 2026.

Lightup vs Acceldata pricing side by side

What Acceldata actually charges

Acceldata runs two separate AWS Marketplace listings, which is the single most confusing thing about pricing it, and the two are not versions of the same offer. The listing called Enterprise Data Observability Platform sells Acceldata platform access for one year at 10,000 dollars, with one usage dimension outside the contract: additional users at one cent per unit. That is the number most people mean when they say Acceldata costs ten thousand dollars.

The second listing, Acceldata Data Observability Cloud, is the one that decides your real bill. It bills on independent dimensions on a single contract. Data Reliability is 5,000 dollars for twelve months, priced in units tied to the average terabytes of monitored data processed each month. Spend Intelligence is 100,000 dollars for twelve months, priced per account or workspace for Snowflake or Databricks. A third dimension, AI Insights, sits alongside them. AWS states plainly that you can commit to either dimension or both, so the range between a 5,000 dollar commitment and a six figure one is not a mistake in the listing. It is the product.

The practical consequence is that Acceldata is forecastable in a way Lightup is not, but only if you know your own numbers first. Data Reliability scales with the volume you monitor, so it dominates for a large estate. Spend Intelligence scales with how many accounts and workspaces you track, so it dominates for an organization with many environments and a modest amount of data in each. Work out which of those describes you before the call, because the wrong dimension is where six figure quotes come from. Both listings carry the same vendor refund terms: all fees are non-cancellable and non-refundable except as required by law. Both show 4.4 stars from 55 AWS reviews.

What Lightup actually charges

Nothing that anyone can check. The Lightup pricing page is a genuinely thorough document, a two column comparison running roughly forty rows through plan limits, data quality indicators, incident detection, AI and automation, infrastructure, security, operations and integrations. Both columns finish with Get Quote. There is no anchor price, no starting-at figure, no per seat rate and no published unit of consumption. The page states that all plans are annual subscriptions, so the shortest commitment on offer is twelve months.

We then checked the channel that usually forces a number into public view. Monte Carlo, Sifflet, Bigeye, Datafold, Anomalo, Collibra, Elementary and Acceldata all carry AWS Marketplace listings with an annual contract figure on the face of them, because committed cloud spend drives so much enterprise procurement now. A search of AWS Marketplace in September 2026 returned no Lightup listing. That leaves the published feature matrix as the only thing to read, so read it as a price list. The full breakdown is on our Lightup pricing page, but four rows do most of the work: Cloud caps you at 10 users and 2 workspaces, keeps 30 days of retention, ships community support, and covers Databricks only partially.

How should I choose between Acceldata and Lightup?

Pick on meter fit, not on feature lists, because the feature lists overlap more than the contracts do. Choose Acceldata if your estate is large and you can state your average monthly processed terabytes, or if warehouse cost visibility is part of the mandate, since Spend Intelligence is a product Lightup does not sell. Choose Lightup if your team is small enough to live inside ten seats and two workspaces, you need Okta on day one without an enterprise tier, and you have the patience to negotiate without a public benchmark.

The failure mode on each side is different and worth naming. With Acceldata the risk is dimension sprawl: you commit to Data Reliability at 5,000 dollars, then discover the thing you actually wanted was Spend Intelligence at 100,000, and the two are separate lines on the same contract. With Lightup the risk is the thirty day retention window on the Cloud plan, which nobody notices during a trial and everybody notices at the first quarterly review, by which point you are months into an annual term. Anomaly detection is a comparison against history, so the history you keep is the baseline you get.

Is Lightup cheaper than Acceldata?

There is no honest way to answer that, and anyone who does is guessing. Lightup has published no price, has no marketplace listing, and does not disclose the unit its quotes are built on, so there is nothing to compare against Acceldata's 10,000 dollar platform contract. What you can say is that Acceldata gives you a floor you can plan around and Lightup does not. If a Lightup quote comes back below ten thousand dollars a year, that is useful information about where the market sits for a small team. If it comes back near six figures, you are being priced as an enterprise account and should ask which capacity variable justifies it.

Get a rate and a quantity, not an annual number

The single most useful thing you can do in either sales call is refuse to accept a lump sum. A quote expressed as one number for one year cannot be modeled, cannot be compared and cannot be defended at renewal when it moves. Ask for the rate and the quantity separately: dollars per monitored terabyte and your expected terabytes, or dollars per workspace and your workspace count, or dollars per seat and your headcount. Then ask what happens to each quantity as the warehouse grows over the term, and whether the rate is locked or revisable.

Do the same arithmetic against a vendor that publishes, because that is the only benchmark available when one side of the comparison prints nothing. Our Scale plan is 799 dollars a month billed yearly, 9,588 for the year, for up to 1,500 monitored tables with column level lineage, single sign-on and an audit log. That is a rate and a quantity you can check in ten seconds without speaking to anyone. Teams that end up on consumption metered contracts usually finish the year tracking what every one of those tools actually costs them alongside the rest of the software spend, which is a fair signal about how predictable this category is once contracts are signed.

Where both of these sit against the rest of the market

Neither vendor is an outlier, which is the uncomfortable part. Sifflet publishes a full three tier feature matrix with no dollar figures and sells a 48,000 dollar credit contract on AWS. Monte Carlo sells 50,000 dollars of monitors through credits. Bigeye has unbundled into separately priced capability packages. Datadog publishes its meters in HTML and injects the rates with JavaScript. Collibra lists at 170,000 dollars a year with no stated unit at all. The pattern across the category is that the unit of consumption is the product decision and the price is the sales conversation, and the buyer absorbs the uncertainty in both.

That is the whole reason we publish ours. If you want the longer version of the Acceldata numbers, including both listings and what changed across 2026, we keep it current on the Acceldata pricing page, and the alternatives comparison lives on Acceldata alternatives. If you are evaluating Lightup specifically, start with the feature matrix read as a price list, get the retention number written into the order form, and find out what Partial Databricks support excludes before you sign twelve months.