Multi-engine compute with complete observability
Spark, DuckDB, and Polars on one lake. Every run and query captures logs, spans, lineage, and cost. Full context for your team and agents from day zero.
Compute with context
Build. Deploy. Debug. Let us deploy your Spark jobs and handle production monitoring, running investigations as soon as things go wrong.
Lake storage & query engines
Work on your own data with an integrated Iceberg storage and query layer, while keeping lineage and observability attached to every query. You can also bring your own iceberg catalog along for the ride.
English to distributed SQL
Use your own agent or IDE that inherits our Spark & Iceberg expertise and context. Ask for PySpark against your oleander lake in plain language.
Build a PySpark script for oleander.default.global_flowers. Filter to poisonous flowers, normalize genus and continent values, and compute risk slices by continent, toxicity band, genus, and bloom season with record counts and confidence metrics. Write partitioned outputs to oleander.analytics.toxicity_by_continent, oleander.analytics.toxicity_by_genus, and oleander.analytics.high_risk_species, and include idempotent upsert behavior so downstream dashboards and anomaly monitors can consume each dataset safely.
Automated incident investigations
Anomaly investigation starts the moment alerts fire. Pull deep context from your telemetry lake to pinpoint and assist with root cause before downstream impacts.
Full context-aware root cause analysis
Skip dashboard hopping. Debug production issues using an independent metadata context layer and trace root causes across your data infrastructure on day zero.
Query telemetry data with SQL
Correlate metrics, logs, traces, and lineage metadata instantly so you can understand the intent behind every deployed pipeline with zero context switching.
Quick, smart alerting with incident triage
Reduce on-call burden. Every alert is paired with a detailed knowledge graph of your data infrastructure so you understand how everything fits together. A shared context with your team to solve incidents faster.
@alertingInvestigate new production alerts and generate triage context with downstream blast radius and likely remediation steps.
Active Alert
Triage Context
The context graph for your data infrastructure
Every run, commit, deployment and dataset is connected. Search it. Trace it. Understand it. Share it.
@insightsAnalyze the last 30 days of finance.billing.process_pending_invoices. Investigate the 15x drop in output volume and map the downstream impact.