Netodin Big Data
Pipeline-scale intelligence.
Fully managed.
A complete analytical database platform on your own private server. Flat-rate pricing. No per-query fees. No data engineer required.
Netodin Big Data deploys DuckDB on a dedicated private server, pairs it with Metabase for dashboards and visualisation, and keeps the entire stack running. High-volume queries, data pipelines, and analytical workloads — all in one place. You query at scale. We run the infrastructure.
Starter
Best for low continuous data flow
$299/mo
Growth
Best for medium to high continuous data flow
$449/mo
Scale
Best for non-stop, high volume data flow
$599/mo
Sound Familiar?
Queries that should take seconds are taking minutes. Your pipelines break under volume spikes. Data is syncing across platforms but there is no reliable backbone holding it together.
You have looked at Snowflake. The pricing model is consumption-based — compute credits that accumulate unpredictably when your query volume spikes. Google BigQuery charges per terabyte scanned. The bill is impossible to predict before you run the queries.
Enterprise data infrastructure exists. But it is built for enterprise budgets and enterprise engineering teams. Netodin Big Data fills the gap.
The Platform
DuckDB is an open-source analytical database designed for one thing: running fast queries on large datasets. Unlike traditional row-oriented databases like MySQL or PostgreSQL, DuckDB uses columnar storage and vectorized query execution. Aggregations, time-series queries, and large scans across millions of rows complete in seconds rather than minutes.
This is why "queries taking minutes when they should take seconds" happens: most businesses store operational data in row-oriented databases designed for transaction processing, not analytical workloads. DuckDB is built for exactly the queries that row-oriented databases struggle with.
The difference between Netodin Big Data and a standard DuckDB deployment: Netodin handles every server, every update, every backup, and every failure response. Your team connects the data and runs the queries. They never manage the infrastructure.
How We Compare
Most businesses evaluating analytical database infrastructure are weighing four options. Here is what each actually costs and requires.
Pricing information based on publicly listed rates as of early 2026. Snowflake and BigQuery are consumption-based — actual costs vary by workload. Verify current pricing before making purchasing decisions.
| Netodin Big Data | Snowflake | Google BigQuery | AWS Redshift | Self-hosted DuckDB | |
|---|---|---|---|---|---|
| Pricing model | Flat rate from $299/mo | Compute credits — variable | Per TB scanned — variable | Reserved nodes from ~$180/mo | Free (hosting costs apply) |
| Per-query / usage fees | None | Yes — per compute credit | Yes — per TB scanned | Concurrency scaling charges | None |
| Managed infrastructure | Fully managed | Managed by vendor | Managed by Google | Requires AWS expertise | You manage everything |
| Private instance | Yes — dedicated server | Multi-tenant | Multi-tenant | Multi-tenant by default | Yes — if you set it up |
| Setup time | 72 hours | Days to weeks | Days | Weeks — AWS architecture required | Weeks to months |
| BI visualisation included | Yes — Metabase included | Separate tool required | Looker Studio (limited) | Separate tool required | Separate tool required |
| Support included | Yes — all plans | Paid tiers | Paid tiers | AWS support plans | Community only |
How It Works
Who It's For
Syncing Shopify, Amazon, Walmart, and additional marketplaces simultaneously generates thousands of order and inventory records per hour. DuckDB handles the full data flow and lets you query across all channels in a single environment.
Sensor data, production logs, and supply chain events arriving at thousands of records per hour. DuckDB's columnar architecture makes real-time production queries fast enough to act on during the shift, not the following morning.
Millions of customer events, transaction records, and behavioural signals. You need fast queries across all of it — not sampling, not approximation. DuckDB scans large datasets at a fraction of the time row-oriented databases require.
Usage events, feature adoption rates, churn signals, and activation funnels — at scale and in near real-time. DuckDB handles the analytical workload so Metabase dashboards reflect current usage without the wait.
Transaction streams, fraud signals, and reconciliation data at high volume with zero tolerance for latency. DuckDB processes financial datasets efficiently and Metabase surfaces the signals your risk and operations teams need to act on.
Route data, delivery events, and warehouse movement flowing continuously from multiple systems. DuckDB consolidates the data and makes cross-system queries fast — no waiting for overnight batch processes.
Pricing
Pricing is based on data volume and pipeline frequency — not queries, not compute credits, not users. Run more queries or add more team members without your bill going up.
01
Best for low continuous data flow
Growing operations beginning to outgrow standard analytics tools.
$299
per month
$299 setup fee
Get Started02
Best for medium to high continuous data flow
Multi-platform operations with constant data movement across sources.
$449
per month
$449 setup fee
Get Started03
Best for non-stop, high volume data flow
High-frequency pipelines where downtime or slowdowns are not an option.
$599
per month
$599 setup fee
Get StartedWhat's Included
Here is exactly what Netodin handles for every Big Data customer.
FAQ
DuckDB is an open-source analytical database designed for high-performance query execution on large datasets. Unlike traditional row-oriented databases, DuckDB uses columnar storage and vectorized query processing, which makes it significantly faster for aggregations, time-series analysis, and large scans. Netodin deploys and manages it on a private server, paired with Metabase for dashboards and visualisation.
No. Netodin Big Data charges a flat monthly rate regardless of how many queries you run or how much data you process. Unlike Snowflake or Google BigQuery, there are no compute credits, no per-TB fees, and no variable usage charges. Your data infrastructure cost is predictable every month.
Netodin Analytics is built on Metabase alone and is designed for businesses that want dashboards and reports from standard business datasets. Netodin Big Data adds DuckDB, a high-performance analytical database that handles large, high-volume datasets that standard BI tools and row-oriented databases cannot efficiently query. If your queries are slow or your data volumes are outgrowing standard tools, Big Data is the right fit.
No. Netodin handles the infrastructure setup and configuration. You need to understand your data and pipelines. The server, the DuckDB installation, updates, backups, and monitoring are entirely our responsibility.
Your platform runs on its own dedicated server. No shared environments, no resource contention with other businesses. Your pipeline gets the full capacity of its own machine and your data is never mixed with other customers.
You have full admin access, so you can connect databases, APIs, flat files, and streaming sources to DuckDB. Metabase connects to DuckDB and other data sources for visualisation. If you have a specific source in mind, ask us before signing up.
You get full admin access to your DuckDB and Metabase instance. Netodin stays in the background handling maintenance, software updates, and infrastructure. You connect your data sources, build your queries and pipelines, and run your operation. We handle everything else.
No. Monthly plans can be cancelled anytime. 6-month and yearly plans are paid upfront and include the setup fee.
Plans are based on your data volume and pipeline frequency. Starter suits operations beginning to outgrow standard analytics tools. Growth handles multi-platform operations with constant data movement. Scale is for high-frequency pipelines where downtime or slowdowns are not an option. Not sure? Contact us and we will recommend based on your specific setup.
No per-query fees. No compute credits. No data engineer required. Choose a plan and your managed DuckDB environment is live within 72 hours. Pairs naturally with Netodin Operations for ERP data queries, or use alongside Netodin Analytics when your datasets have outgrown standard BI tools.