Data engineering for non-engineers · Zero Storage

Your data, your decisions.
No middlemen.

Connect any source —SQL, NoSQL, files or APIs— and query it with SQL or in your own language. Visual ETL, automated Machine Learning and an AI agent in one platform, without copying your data.

✓ No credit card · ✓ No installation · ✓ Cancel anytime

Connect directly to your existing data sources

MariaDB
BigQuery
Google GCS
Amazon S3
Amazon RDS
Redshift
Azure Blob
Databricks
Supabase
Excel / CSV
Parquet
Apache Kafka
API REST
FTP / SFTP

Works with the major clouds

Connect Polibius BI directly to your infrastructure, wherever your data lives

Features

Everything your company needs
to work with data

From source to insight, without needing a data engineering team.

AI Agent

Your data analyst, available 24/7. Ask a question in your own language —“What were my Q1 vs Q2 sales?”— and the agent finds the relevant sources, builds the ETL pipeline, runs the analysis and delivers charts with a business interpretation. No SQL, no code. It also proposes star-schema models, schedules automatic pipelines, combines several sources in a single query and understands 20 languages. It works on your connections and files, without copying your databases.

PostgreSQLAPI RESTsales.xlsxS3 Polibius AI online Sales Q1 vs Q2? Q1 Q2 +18% Q2 vs Q1

SQL Editor

Write and run SQL on any of your sources: relational databases (PostgreSQL, MySQL, SQL Server, Oracle, MariaDB), cloud services (Amazon S3, Redshift, RDS, Azure SQL, Synapse, Blob Storage, BigQuery, Google Cloud Storage, Cloud SQL, Databricks), REST APIs, FTP/SFTP and files (Excel, CSV, JSON, Parquet, TXT). NoSQL too: MongoDB documents and nested JSON are turned into tables automatically, so you query them with plain SQL, no new language to learn. Combine different sources in one query and export whenever you want.

CloudS3BigQueryAzureRedshiftGCSAPI RESTOn-premisePostgreSQLMySQLOracleSQL ServerMariaDBFilesCSVXLSXJSONPARQUET query.sql SELECT region, SUM(total)FROM postgres.sales sJOIN s3.goals g USING(region)GROUP BY region; REGIONTOTALAMER42kEMEA31kAPAC19k✓ 0.4 s

ML / Prediction

Five ready-to-use analysis types, no code required: Regression to predict numeric values (sales, prices, consumption), Classification to categorize records (risk, churn, segment), Clustering to group customers or products by behavior, Anomaly detection to find outliers and fraud in real time, and Time series to forecast future demand. AutoML evaluates multiple algorithms, picks the best one for your data, and delivers results with interpretable explanations. Includes a performance monitor that tracks model accuracy over time and alerts you when the data changes.

AutoML Best model selected R² 0.94 Forecast AnomalyTime forecastingRegressionSegmentationAnomaliesClassification

Model

Design your data model directly from natural language. Generate star schemas, define relationships between tables, document the business meaning of each column, and let the entire platform understand the real meaning of your data.

Salescustomer_idproduct_iddate_idregion_idamountFACTCustomerscustomer_idname1NProductsproduct_idcategory1NDatedate_idquarter1NRegionregion_idcountry1Namount = net revenue

Orchestrator

Build ETL pipelines by dragging and dropping nodes on a visual canvas. 25+ transformations —JOIN, FILTER, PIVOT, DEDUP, WINDOW—, SQL and NoSQL sources (MongoDB and JSON become tables automatically), real-time CDC for MySQL, PostgreSQL and Supabase, built-in web scraping and automatic scheduling.

OracleCDCAPI RESTJSONJOIN2 → 1FILTERWHEREPostgreSQLWarehouseMLForecast Daily 07:00 Real-time CDC

Activity

The control and governance panel for the whole platform. Every operation in every block — Editor queries, ML training, models, pipelines, AI Agent actions, connections and files — is logged with who ran it, when, how long it took, how many rows it moved and how it ended, including the scheduled and CDC runs that happen while nobody is watching. Track daily usage by block in operations, compute time or rows processed, compare it with the previous period, find out what is failing and since when, and export the history to CSV. It only stores metadata: never your data, your full SQL or your credentials.

1284operations▲ 18%38 hcompute time▲ 6%2 Mrows processed▲ 24%SQL EditorML / PredictionOrchestratorAI AgentActivityAMPipeline daily_sales12:04 · 1.2 s · 48kJRDemand forecast11:52 · 34 s · 12kLPOracle connection11:40 · timeoutAMSQL query11:31 · 0.4 s · 3k
How it works

From your data to your decisions
in 3 steps

No installations. No complex configurations. Just connect and analyze.

1

Connect your sources

Connect SQL and NoSQL databases, Excel, CSV, JSON or Parquet files, APIs and the web. Polibius queries your sources live, without copying them, and the files you upload are deleted automatically whenever you decide.

2

Transform and automate

Build ETL pipelines visually, configure transformations, and schedule execution — daily, hourly, or real-time with CDC. All with version history and alerts.

3

Analyze with AI

Ask in your own language, build dashboards, train ML models and get alerts when your KPIs drift. The AI works on your own data, not on samples.

12+
Native connectors
25+
Transformation nodes
20
Languages across the platform
5
No-code ML analysis types
0
Copies of your databases
Plans and pricing

Choose your plan

No surprises. No hidden costs. Cancel anytime.

Free
$0
Free · 15 days with everything included
Use the full Polibius BI with your own data for 15 days, no credit card required.
  • ✓
    All features unlocked
  • ✓
    Unlimited connections and queries
  • ✓
    MongoDB and JSON turned into SQL tables
  • ✓
    Visual ETL with every node, Spark included
  • ✓
    Machine Learning with no daily limit
  • ✓
    AI agent and AI-powered SQL
  • ✓
    Real-time CDC and web scraping
  • ✓
    No credit card
Business
Custom
Priced to your needs
For companies with large data volumes and analytics teams.
  • ✓
    Unlimited connections
  • ✓
    Unlimited users
  • ✓
    Everything in Growth
  • ✓
    Spark for large-scale processing
  • ✓
    Machine Learning with no daily limit
  • ✓
    Personalized onboarding
  • ✓
    Response-time SLA
  • ✓
    On-premise option
  • ✓
    Custom integrations
Talk to sales
Use cases

What you can achieve
with Polibius BI

Food & beverage
Logistics
Retail
Finance
Cafés
1
single dashboard with sales from every site

Bring sales from every site into one dashboard

A food company with sites in several countries keeps every report in a different spreadsheet. With Polibius BI it connects each site's databases and files, combines them in a single query and sees consumption trends day by day, without waiting for manual reports.

Food production
CDC
every route or container change, instantly and without reloading tables

Join your fleet in PostgreSQL with shipments in MongoDB

A logistics operator keeps its fleet in PostgreSQL and shipments as documents in MongoDB. Polibius BI turns those documents into tables, joins them with plain SQL —no other query language to learn— and, with CDC, reflects every route or container change as soon as it happens.

Container port
07:00
sales report for every store, ready each morning

Reports for every store, ready before opening time

A retail chain used to consolidate each branch's reports by hand. With a scheduled visual pipeline, Polibius BI merges sales every night, removes duplicates and has the report ready first thing in the morning, with alerts if any KPI drifts.

Store
0
copies of your databases: they're queried live

Analyze sensitive data without replicating it

A finance team can't move its data out of its own infrastructure. Polibius BI queries its SQL Server live without copying the database, stores credentials encrypted and automatically deletes uploaded files after the period the company sets. The activity log keeps metadata only, never the data itself.

Financial analysis
20
languages your team can use to ask the data

Every manager asks the data in their own language

A café chain with locations in several countries no longer depends on IT for every analysis. Each manager types a question in their own language —“which product grew the most this quarter?”— and the AI agent answers with the query, the chart and what it means, using the business's real data.

Café

Ready to make decisions
based on data?

Start for free today. No credit card. No contracts.