Bigeye vs Acceldata Pricing and Which Data Observability Platform to Buy

Bigeye vs Acceldata comes down to what you are paying to watch. Bigeye sells monitored tables: $45,000 a year for 100 and $75,000 for 300 on its AWS Marketplace listing. Acceldata sells data volume and accounts: $5,000 per Data Reliability unit sized on terabytes processed, and $100,000 per Snowflake account or Databricks workspace for its cost module. Bigeye fits a bounded set of critical warehouse tables; Acceldata fits a large hybrid estate where Hadoop, Spark and warehouse spend are in scope.

Most pages ranking for this comparison are aggregator summaries or a post written by one of the two vendors. None of them prints a price, because neither company has a pricing page with numbers on it. Both, however, sell through AWS Marketplace, and a transactable listing has to carry a dollar figure. We re-read both listings this week (Bigeye on 14 October 2026, Acceldata on 13 October 2026), and the numbers tell you more about the two products than any feature grid does.

Bigeye vs Acceldata pricing at list

Two things jump out. First, the entry figures are not comparable as they stand. Bigeye's $45,000 is a complete package with a stated capacity. Acceldata's $5,000 is a single unit of a meter whose size is unpublished, so a real Acceldata quote for a busy warehouse could be one unit or fifteen. Second, Acceldata's cost-management module costs more than either Bigeye package on its own. If your Acceldata proposal is six figures, it almost certainly includes Spend Intelligence, and that is a FinOps purchase rather than an observability one.

The full per-package breakdown, including the $450 to $250 per-table math and what Vendr reports buyers actually signing, is on our Bigeye pricing page. Acceldata's two listings and its unit question are covered on Acceldata pricing.

Is Bigeye cheaper than Acceldata?

For data quality monitoring alone, Acceldata usually has the lower entry price, because a single $5,000 Data Reliability unit is a smaller commitment than Bigeye's $45,000 Starter Package. The answer flips as soon as you add Acceldata's cost module at $100,000 per account, and it is unknowable for high-volume warehouses until Acceldata tells you how many terabytes a unit covers.

A worked example makes this concrete. Take a mid-size Snowflake team with 250 tables worth watching and one production account.

The honest conclusion: Bigeye is easier to budget, because its price moves with something you can count before you sign. Acceldata is cheaper to start and harder to forecast, because its meter moves with how much data your pipelines push, which is exactly the thing that grows when a company does well.

Bigeye vs Acceldata for Snowflake and Databricks

Both connect to Snowflake and Databricks, and both build column-level lineage across warehouses and BI tools. The difference is what sits around the warehouse.

Bigeye is warehouse-first with an unusually deep reach into legacy systems. Its lineage connectors cover Oracle, SQL Server, DB2 on z/OS and Netezza alongside the cloud warehouses, and its monitoring library runs to more than 70 metrics. If your critical data still passes through a mainframe or an on-prem appliance on the way to Snowflake, Bigeye is one of very few tools that can draw that line.

Acceldata is infrastructure-first. Its Pulse product observes Hadoop, Spark, Kafka and Hive down to YARN queue pressure and consumer lag, which warehouse-native tools cannot see at all, and its Spend Intelligence module targets the warehouse bill itself with chargeback and showback. The trade is deployment: Acceldata runs a data plane as pods in your own Kubernetes cluster (EKS, AKS or GKE), and the AWS listing warns that additional infrastructure costs may apply. Bigeye, by its own description, connects agentless over a read-only service account by default and offers an agent only as an option.

If you are weighing Acceldata against the monitoring Snowflake and Databricks now ship natively, that is a different question with a different answer, and it is worked through in Acceldata vs Snowflake and Databricks.

Which is better for lineage, Bigeye or Acceldata?

Bigeye is the stronger lineage product of the two when legacy sources are involved, because its Lineage Plus connectors parse SQL from systems most tools skip. Acceldata's lineage is broad across modern warehouses and BI tools but is a feature of a monitoring platform rather than the product's center. Neither sells lineage on its own: you buy it inside a monitoring contract.

That last point matters more than the comparison. A lot of teams end up pricing Bigeye or Acceldata because a schema change broke a dashboard and nobody knew what was downstream. That is a lineage and change-impact problem. Buying a table-metered or terabyte-metered monitoring platform to solve it means paying for a large monitoring program to get a feature.

Which should you buy?

Choose Bigeye if you have a bounded set of high-value tables, finance wants one fixed annual number, and your lineage has to reach Oracle, DB2 or Netezza. The 300-table package at $75,000 is a defensible line item for a regulated team, and its stated capacity makes renewals predictable. Before you sign, put the renewal on a purchase order with a reminder sixty days out, since the AWS listing auto-renews with no refunds.

Choose Acceldata if your estate is large and mixed, Hadoop or Spark clusters are part of the reliability problem, or your Snowflake or Databricks bill is large enough that a cost module pays for itself. Get the terabytes per Data Reliability unit and the account-counting rule in writing first.

Choose neither if the real job is knowing what breaks before you change it. DataTrail connects to Snowflake, Databricks, BigQuery, Redshift or Postgres with a read-only role, parses query history and dbt artifacts into column-level lineage, and lists every downstream model and dashboard in impact analysis before a change ships, with schema change alerts and freshness checks on the same graph. It costs $59 to $479 a month on a flat plan with no table count and no terabyte meter (see pricing). It does not monitor Hadoop or manage warehouse spend, and it does not ship a 70-metric quality library, so if those are the requirement, one of the two above is the right buy.

Frequently asked questions

How much does Bigeye cost compared with Acceldata?

Bigeye lists $45,000 a year for 100 monitored tables and $75,000 for 300. Acceldata lists $5,000 per Data Reliability unit, sized on terabytes processed, and $100,000 per account or workspace for Spend Intelligence. Bigeye is the higher entry price for monitoring alone; Acceldata becomes the more expensive one once its cost module is in the contract.

Does Bigeye or Acceldata have a free trial?

Acceldata offers a 30-day free trial on its website. Bigeye has no free trial or free tier on its website or either marketplace listing, so evaluation runs through a demo and a proof of concept. Neither AWS listing includes a trial dimension, so a marketplace purchase starts billing when you accept the offer.

Do I need to deploy anything to run Acceldata?

Yes. Acceldata runs a data plane inside your own cloud account as pods on Kubernetes, with the control plane hosted by Acceldata. That cluster and the time to operate it are yours. Bigeye's default model is agentless SaaS over a read-only JDBC connection, with an optional agent for teams that need tighter network isolation, so there is no cluster to run.

What are the alternatives to Bigeye and Acceldata?

Monte Carlo is the closest rival to both and publishes a credit rate card that is cheaper per table at small scale. Datadog's Data Observability product (formerly Metaplane) lists $16 per monitored table a month. For lineage and change impact without a monitoring contract, DataTrail runs $59 to $479 a month. The full field is compared on Bigeye alternatives and Acceldata alternatives.