From raw data to decisive strategy in minutes.
Connect to the cloud platforms and databases you already use
Amazon Web ServicesAzure
Google CloudDatabricksSnowflakePostgreSQLMySQLMongoDBOracleAmazon Web ServicesAzureGoogle CloudDatabricksSnowflakePostgreSQLMySQLMongoDBOracleFrom messy files
to boardroom-ready answers
One workspace covers the whole journey, so you never have to stitch separate tools together.
Ingest
Drop in files or connect a cloud store or database. Schemas are inspected automatically.
Transform
Clean, join and enrich data on the visual Dataflow canvas, or let AI Analysis fix anomalies.
Ask
Question your data in BI Studio with text, voice or an uploaded diagram.
Present
Share live dashboards and executive briefings with your workspace.
Five modules,
one connected workflow
Ingest, transform, question, analyze and present. Each module is built to hand its results to the next.
Bring in any data, from files or live sources
The Universal Ingestor reads 7 file formats and connects to 10+ cloud storage services and databases. Every dataset is inspected for its schema as soon as it arrives.
- CSV, Excel (XLSX and XLS), JSON, XML, PDF tables, Parquet and ZIP archives
- AWS, Azure, Google Cloud, Snowflake, Databricks, PostgreSQL, MySQL, MongoDB and Oracle
- Automatic type detection with missing values highlighted
Drop files to ingest
Types and missing values are inspected automatically.
Supported file formats
Live connectors
Intelligence built
into every step
The details that turn a data project from days of busywork into minutes of decisions.
Self-healing query engine
When a schema changes, VectorSift detects the drift and repairs the query. Open the log to review the exact before-and-after SQL.
− SELECT region, SUM(amnt) FROM sales
+ SELECT region, SUM(amount) FROM sales
Executive podcast studio
Turn query results into a spoken briefing. Two AI hosts, Sarah the Analyst and David the Strategist, discuss the numbers and the strategy.
AI Context Clean
Maps spelling variants and noisy values to one consistent form, and repairs bad encodings.
Root cause analysis
Click any chart outlier to run an automated breakdown across your other dimensions.
Voice and multi-vision
Speak your question, or upload a diagram, hand-drawn sketch or audio clip as context.
Python and SQL when you need them
Drop a custom script node into any pipeline. Use Pandas and NumPy, or DuckDB SQL, for domain-specific transforms.
SELECT region, COUNT(*) AS orders
FROM input_dataset GROUP BY region;
Zero-ETL federation
Join live PostgreSQL rows with historical Parquet tables in a single node, without copying data first.
Kickstart your analytics
with ready-made dashboards
Eight dashboard templates cover sales, finance, marketing, retail, healthcare, support and engineering.
Always current, never a stale export
Your dashboards, pipelines and connections stay in step with the data underneath them.
Live pipeline diagnostics
Run pipelines in parallel and watch live execution status and row counts on every node and connector.
Live dataset binding
Dashboard widgets update automatically when the pipeline assets behind them refresh.
Live connections
Query live databases and cloud stores directly, using credentials saved in your encrypted vault.
Built for teams
that handle real data
Isolated workspaces, clear roles and encrypted credentials keep your data and your connections protected.
Workspaces and role-based access
Every project lives in an isolated, multi-tenant workspace. Invite your team, assign a role, and transfer projects between workspaces.
Encrypted credential vault
Save connection credentials once with AES-256 encryption, then import them whenever you connect a cloud store or database.