Traditional data stacks force you to stitch together separate tools for ingestion, transformation,
orchestration, and visualization. Each tool has its own interface, its own query language, and its
own set of credentials to manage. Plotono collapses this stack into a single environment where every
stage of the data workflow is connected.
Start by defining a data source connector. Build a pipeline visually or write SQL directly.
Compose complex workflows by referencing other pipelines as reusable building blocks. When your
transformation logic is ready, map the output columns to chart axes and drop the visualization
onto a dashboard. The entire path from raw data to finished chart lives inside Plotono, with no
export steps, no file transfers, and no broken handoffs between teams.
Under the hood, every pipeline compiles to standard SQL targeting DuckDB or BigQuery. Twelve
optimizers handle constant folding, predicate pushdown, projection pruning, join reordering, and
more. Macro nodes simplify common operations like data anonymization, deduplication, and null
handling with a single configuration step. Federated execution distributes queries across
workers for parallel processing, with mTLS certificate management to secure every connection.
For teams that need real-time updates, Plotono uses server-sent events to stream dashboard changes
and pipeline status to every connected user. Connection state management and optimistic UI updates
keep the experience responsive even when processing large datasets.