Dispatches
Product launch

Hundreds of millions of rows. Sub-second. Same report.

Athena takes the dashboard everyone waits on, keeps the report exactly the same, and makes it answer in under a second for everyone, with access included in Athena services.

100,000,000+rowsBeforeAfterFour-hour refreshManagers wait in queueDashboard stillMonday morning. Still loading.Sub-second responseAll managers inMonday morning. Still loading.Store Operations exportExisting BI file with measures, filters, andlayouthundreds of millions of rows of store performance dataFour-hour refresh cycleBI report file.report importReady for importStore Operations DashboardRegionStoreWeekSalesCurrentTrafficCurrentConversionCurrentMonTueWedThuFriSatSame measures, filtersSame report.Athena platformRETAILER STORAGE · YOUR VPC100M+ rowtableIceberg formatStore permissionsintactExisting accessrulesData stays in the retailer's own storageYour data stays yours.Store managerOpen dashboardCHECKED AGAINST THE SOURCEWarehouse permissionsOwn store accessOther store accessSees only own storesAthena reads existingpermissions instead ofcreating a second setto maintainEach manager, their stores.Store Operations DashboardRegion: SoutheastStore: AllWeek: CurrentSalesUpdatedTrafficUpdatedConversionUpdatedRegionRegionRegionRegionRegionRegionFilter responseUnder a second.Same report. Different Monday.athenaintel.com
Fig. 01The launch in 35 seconds, from the question to the landing line: “Same report. Different Monday.”
Sub-Second Dashboards, Same Report

Every company has one dashboard everybody opens on Monday morning and everybody complains about. It is slow to refresh, slow to filter, and every new viewer needs another license.

At a Fortune 500 retailer, that dashboard sat on a table with hundreds of millions of rows and took around four hours to refresh. Athena made it sub-second for thousands of store managers, included in Athena services.

Here is what we changed, and what we left alone.

Sub-Second Dashboards, Same Report

What stayed the same. The report. We imported the existing BI file, so the measures, filters, and layout came across as they were. The data stayed in the retailer's own storage. And each store manager still sees only their own stores, because Athena reads the existing permissions instead of creating a second set to maintain.

What changed. Filters now answer in under a second. And nobody needs a license to open it, so rolling it out to every store manager is an access decision, not a purchasing one.

You do not have to switch everything at once. Athena can read your existing BI setup, so current reports keep working while you move the slow ones first.

Sub-Second Dashboards, Same Report

Why this matters beyond speed. Click any number and you can see where it came from. And the same definitions the dashboard uses are the ones Athena's agents use, so a question asked in chat gets the same answer the dashboard shows.

What to plan for

Unusual custom BI visuals do not always come across. Standard ones do, and the import tells you exactly which ones did not.

Same report. Different Monday.

Import the file, keep the report

The retailer's existing BI file—measures, filters, and layout—imported directly.

Athena imported the existing BI file—measures, filters, and layout—and rebuilt the dashboard on the Lakehouse. The report stayed exactly the same. The data stayed in the retailer's own storage. Filters now answer in under a second, and access is included in Athena services.

You drop the Report file. Athena recreates measures, relationships, and standard visuals. Anything that did not round-trip is listed once, so you can fix it and move on.

01Drop Report fileMeasures ·relationships02Rebuild onLakehouseIceberg tables ·retailer storage03Publish asApplicationSSO · included in Athena servicesrequired04thousands of managersopen itEach sees only theirown storesSub-second cross-filter on hundreds of millions of rows
Fig. 02The existing BI file becomes a dashboard anyone can open, included in Athena services.

Permissions you already have

Each store manager still sees only their own stores. Athena reads the existing warehouse permissions instead of creating a second set to maintain. Viewers authenticate through SSO; access is included in Athena services.

The retailer rolled the dashboard out to thousands of store managers. Access is a business decision, not a purchasing one. The same infrastructure that answers one filter in under a second answers it for thousands of concurrent Monday users.

Data stays in the retailer's storage. Iceberg tables in their own object storage; an engine that returns 2 million-row scans in 79 milliseconds and billion-row questions in milliseconds of engine time.

Store managerFilter dashboard to current weekCHECKED AGAINST THE SOURCESSO authenticationWarehouse permissionsStore-level accessSees own stores,sub-second responseViewers see data withtheir own warehousepermissions, inheritedlive
Fig. 03No second permission system—Athena reads the access rules already in place.

Move the slow ones first

You do not have to switch everything at once. Athena can read your existing BI setup, so current reports keep working while you move the slow ones first. Athena reads the existing BI semantic model and runs its measures from the same surface.

Every chart answers 'why this number?' with the exact upstream table, transform, and freshness. The same definitions the dashboard uses are the ones Athena's agents use, so a question asked in chat gets the same answer the dashboard shows.

Click any number and you can see where it came from. Time-travel lets you compare a dashboard to itself as of last Monday, so you see what moved and why. Governance is built in: dashboards are assets with owner, versions, lineage, and citations.

store_txnsstore_dimcalendarONE DEFINITIONSalesSUM(store_txns[amount])Dashboard KPICurrentAgent answerMatchsame number, both places
Fig. 04The dashboard and the agent use the same definitions, so they give the same answer.

Who it is for

This is for BI leads and heads of data who have one dashboard the business complains about every Monday. Capacity units get bought and rationed. Refreshes take hours. Throttling hits on a third of days. The people who need the number are the last to get it.

The result: sub-second cross-filter for thousands of Monday users. Athena reads the existing BI semantic model and runs its measures, so if you have real spend on BI, warehouse, or lakehouse tools, the path is: read the semantic layer today, rebuild the slowest dashboard this month, move the tables when it pays.

Publish as an Application. Provision by SSO group. A wholesaler app gives each partner only its rows. Distribution without seats. You consolidate platforms because it works, not because you planned a migration.

BeforeAfterFour-hour refreshCapacity throttled500 licensesSeven capacities31% of days throttledSub-second filterThousands of viewersOne platform
Fig. 05The retailer moved from seven throttled capacities to one governed platform.
What customers say
“It's good to understand the capability of the platform. That how far, and how quickly you guys can get these things going [...] that has been impressive overall.”
VP-level AI leader · A Fortune 500 retailer
“Lets us get a lot more out of our data than [...] We can sit on top of all of the data in [our data warehouse] as opposed to just, like, our little ingested, you know, three gigabytes semantic models. I think we have a lot of power here.”
Analytics lead · A Fortune 500 retailer
“One workspace. All different, let's say, avatars of their output data. Right? Suddenly, it's dashboard. Excel is here. PowerPoint is when it's all together. It's very impressive.”
Global Sustainability lead · A global manufacturer
“Digital worker, it gets spun up, it gets given access to the toolkits that it needs. It gets given access to the data that it needs. Just exists for the period it needs to exist to perform the task. And then it gets torn back down again afterwards.”
Audit lead · A global professional services firm
“I like that direction, that concept of the agent is the agent. It becomes an entity in its own right with its own ownership and its own missioning, and you get rid of the gray area and the blurry lines.”
Audit lead · A global professional services firm
“This combination is a winning combination for us, and this is where we see maximum traction, which is how do you apply all the intelligence that you have within [our data platform] and not worry about how you render that output.”
Analytics lead · A global CPG provider
“We have a variety of tools today that we have trails for, but not many of them can quickly and easily revert back to the previous versions.”
Partner · A global professional services firm
“The tools have way more capacity than we have the mindset to maximize them at this stage, but, you know, that's a good problem to have.”
Innovation lead · An AmLaw 100 firm
“I think a good replacement for the BI. Correct? I don't really need a BI help here. I can develop my own dashboards.”
IT lead · A global manufacturer
“The developer platform that Athena comes up with [...] basically unlocks the next level engineering productivity.”
VP-level AI leader · A Fortune 500 retailer

Verbatim from customer calls. Customers anonymized.

End to end

Store manager opens Monday dashboard, filters to current week

SURFACES INWHAT COMES INTHE PLATFORMWHAT GOES OUTDELIVERED BACKMobile · voiceText (SMS)EmailSlack · TeamsChromeOffice add-inMeeting botMeetingsWordPowerPointSheetsFiles · PDFsDataAgentsWorkflows (AOPs)AppsLibrarySessionsSpacesStudiosMeetingsSemantic modelsDatabaseWordPowerPointSheetsData · APIsApps · portalsWebMobile · voiceText (SMS)EmailSlack · TeamsChromeOffice add-inMeeting botWeb1Dashboards2Lakehouse3Dashboards41 INStore manager opensdashboard Application viaSSO2 CHECKAthena reads warehousepermissions for manager'sstore access3 RUNCross-filter query runs onhundreds of millions of rows inretailer storage, returnsin under a second4 ANSWERDashboard redraws withmanager's own stores,current week data, nolicense required
Fig. 06The route on the system map: Web → Dashboards → Lakehouse. Connectors: BI file export · retailer storage · SSO
What it runs on