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NetSuite data in Power BI. Without the $499 licence.

Native SuiteQL, no ODBC driver, and pre-built Power BI dashboards on the other side.

Nobody in the business is asking for a NetSuite report. They are asking a question, and the report is what stands in the way.

NetSuite reporting shouldn't take 40 hours a month

Most finance teams are stuck in a cycle of manual exports, broken connections, and stale dashboards. Sound familiar?

Manual CSV exports every month

Someone on your team logs into NetSuite, runs saved searches, downloads CSVs, cleans them in Excel, and pastes into Power BI. Every. Single. Month.

$499/month ODBC license you shouldn't need

SuiteAnalytics Connect charges $5,988/year for an ODBC driver that breaks on updates. Acterys connects via native SuiteQL APIs already included in your NetSuite license.

Broken pipelines at month-end

Custom API integrations break when NetSuite updates. Your IT team scrambles to fix them while finance waits for data that was due yesterday.

Per-row billing surprises

Fivetran and CData charge by volume. Your costs scale with your data, not your value. A single NetSuite environment can generate unpredictable monthly bills.

Dashboards showing last week's numbers

Your CFO asks a question in a board meeting. The answer is in NetSuite, but your Power BI dashboard is three days stale. You promise to "check and follow up."

Why we built this

We saw the same pattern across dozens of NetSuite customers: finance teams burning 40+ hours a month on CSV exports, IT teams maintaining fragile ODBC connections that broke every update cycle, and CFOs making decisions on data that was already days old. One client had three people whose entire job was moving numbers from NetSuite into spreadsheets. We knew there had to be a better way, so we built it.

What NetSuite reporting actually costs you before anyone builds a dashboard.

The licence, the connector, the build and the month-end hours are four separate bills. Here they are on one page, next to what the same work costs on native SuiteQL.

Line item The usual route NetSuite Sync
SuiteAnalytics Connect licence Oracle's ODBC service, billed per seat. Fivetran and CData both still need it. $5,988 / yr not required
Connector subscription Per-row vendors price on Monthly Active Rows, so the bill grows with your ledger. $1,000–5,000 / mo flat annual
Pipeline build Schema mapping, incremental logic, retry handling, and the rebuild after each NetSuite release. a development project configuration
Month-end export cycle Saved search, CSV, clean in Excel, paste into the model. Every month, by hand. 40 hrs / mo scheduled
Where the data sits Whether a copy of your general ledger lives on someone else's infrastructure. vendor tenancy your database
Power BI models P&L, balance sheet, cash flow, AR aging, budget vs actuals, executive KPI. build them yourself 6 included
Typical first-year total $18,000–65,988 from $10,000

Ranges are list pricing published by each vendor, checked against the breakdowns on the comparison pages. $10,000 is our entry point: where your account lands above it depends on the modules you take, the subsidiaries you consolidate, the data you sync and the users and destinations you connect. See pricing.

Native SuiteQL over REST. No driver in the middle.

SuiteAnalytics Connect is an ODBC service Oracle bills separately, and every connector built on it inherits both the licence and the driver. NetSuite Sync queries the REST web services your account already includes, which is why there is nothing to install on either end.

  • Every run is logged. Tables, row counts, duration and the error if there was one. A failed sync is a line you can read, not a dashboard that quietly went stale.
  • You choose the tables and the fields. Sync the twelve entities month-end needs rather than the whole account, and add custom records and fields when the standard ones do not carry it.
  • It runs under your permissions. Token-based auth against your own integration record, so row-level access in NetSuite is still row-level access in the warehouse.
How the sync works, step by step

The incremental pull the connector runs each cycle, and the rows it returns. Illustrative data, real query shape.

The data lands in a database you own

NetSuite Sync is not a reporting tool with your ledger locked inside it. Each entity arrives as a typed table in your own warehouse, so Power BI is one consumer of it and not the only one.

  • Your tenancy, your credentials. The sync writes straight to your target. There is no intermediate copy of your general ledger sitting on our infrastructure.
  • Schema detected from your account. Standard records, custom records and custom fields, typed and named as they are in NetSuite.
  • Incremental after the first run. Only changed rows move, which is why a nightly run over 31 million transaction lines is minutes rather than a reload.
  • One pipeline, several destinations. The same configured sync can land in more than one place when a warehouse and a Power BI model both need it.

What a destination looks like after the first sync: NetSuite entities as typed tables, with the time each was last refreshed.

Not sure which destination fits your stack?

Tell us what you already run and what month-end has to produce. We will say which target we would pick, and why, before you buy anything.

Talk to a data engineer

Three steps, then it runs without you

No ODBC driver to license, no gateway server to keep alive, no pipeline to write. Authenticate, pick your tables, choose where the data lands.

Authenticate

Create an Integration record in NetSuite and issue a token-based auth pair. The consumer key, secret and access token are held in Azure Key Vault, not in a config file and not on a shared gateway.

About 5 minutes · one time · TBA over TLS

Pick your tables

Schemas are read from your own account, so the list is yours: standard records, custom records, custom fields. Mark each table incremental or full refresh. Custom SuiteQL is there when a saved search cannot express the join.

About 5 minutes · 340+ tables detected

Choose where it lands

Power BI, SQL Server, Azure SQL, Snowflake or Fabric, in a database you own. The schedule runs from then on, and every run is logged with its row counts so a failure is a line you can read rather than a dashboard that went quiet.

Runs on your schedule · hourly, nightly or custom

See the full walkthrough No credit card. Free trial on your own NetSuite account.

A run log after setup. Only changed rows move, so a nightly run is minutes, not a full-table reload.

Synced tables are the floor, not the finished job.

The same Acterys platform that moves the data also ships the models on top of it: six Power BI reports built on the synced schema, and write-back planning when budgets and forecasts have to live in the same place as actuals.

Power BI reports that already know your schema

A star schema, the relationships, the hierarchies and the measures arrive with the sync. The first dashboard is something you open, not something you build.

  • Six templates. P&L, balance sheet, cash flow, AR aging, budget vs actuals, executive KPI.
  • Measures out of the box. Revenue growth, margin percentage, trend analysis, period comparison.
  • Refreshes in seconds. Incremental sync means the model reloads changed rows, not the whole ledger.
  • Custom SuiteQL where you need it. Full JOIN, GROUP BY and subquery support, past what a saved search can express.
Power BI integration

Budgets and forecasts beside the actuals

Planning that reads from the same synced warehouse and writes back to it, so a reforecast does not begin with someone exporting last month again.

  • Budget vs actuals. Drill from the summary line to the transaction that moved it.
  • Scenarios. Best, worst and likely cases recalculating on the same model.
  • Multi-entity consolidation. OneWorld subsidiaries with elimination entries.
  • Rolling forecasts. Projections update as actuals arrive from NetSuite rather than on a rebuild.
FP&A platform
NetSuite

Your system of record. Nothing is installed in it and nothing is changed.

Read over SuiteQL / REST

Acterys sync

Schema detection, incremental extraction, scheduling and the run log.

Writes to your database

Your warehouse

Typed tables in a database you own. Any tool that speaks SQL can read them.

Star schema, ready to model

Reporting and planning

Six Power BI reports, then budgeting and forecasting on the same model.

Refreshed on your schedule

Put your own numbers in

Four inputs, one answer. The connector line and the ODBC line are what you pay today; the hours line is what month-end costs in salary.

Your current setup

$12,000 $25,000
0 hrs 40 hrs
$25 $200
NetSuite Sync subscription, entry point −$10,000 / yr

$10,000 is where pricing starts, so this is the best case. Your figure depends on the modules you take, the subsidiaries you consolidate, the data you sync and the users and destinations you connect. Power BI reporting and FP&A planning are priced separately.

Connector cost avoided $5,000
ODBC licence removed $5,988
Hours returned to the team $39,000
Net annual saving $50,988
Return 850%
Start on your own account
SuiteAnalytics Connect $499 / mo on top
CData, Fivetran volume-based, plus the ODBC licence
NetSuite Sync flat, from $833 / mo

Common questions

Everything you need to know about Acterys NetSuite Sync before getting started.

Can't find what you need? Book a call and we will walk through it together.

No. Acterys uses NetSuite's native REST web services and SuiteQL to extract data. This completely bypasses the need for SuiteAnalytics Connect and its $499/month ODBC license. You save ~$6,000/year immediately.

Ready to Transform Your Data?

14-day free trial. No credit card required.

Ten-minute setup. SOC2 Type II. A named engineer runs onboarding.

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Your Details

See it running against your own NetSuite account

Book a 30-minute walkthrough. We connect a sandbox, run the first sync, and you watch your NetSuite data land in Power BI while you are on the call. You talk to the team that built the connector.

Why we built this: paying $499 a month for an ODBC licence just to read your own data never made sense. We built the connector that removes that line item.

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