Unified data engineering, analytics, and AI on a single platform. Build faster. Scale effortlessly. Govern everything.
One platform for your entire data lifecycle. From ingestion to insights.
Process data 10-30x faster than traditional tools. Queries that took minutes now complete in seconds.
Learn moreAsk questions in plain English. Get instant answers, charts, and insights. No SQL required.
Learn morePipelines that automatically recover from failures. 90% reduction in data incidents and manual intervention.
Learn moreGDPR, HIPAA, and SOC2 compliance out of the box. Automatic PII detection and data masking.
Learn moreEverything you need to transform data into business value.
Visual pipeline builder. Real-time streaming. Connect to any data source.
Interactive dashboards. SQL editor. Real-time insights for everyone.
LLM integration. Vector search. AutoML. Build AI apps in minutes.
Familiar Python syntax. Extraordinary performance. Drop-in ready for your existing workflows.
import unispark as us
# Load and analyze data
df = us.read_parquet("sales_data.parquet")
# Familiar DataFrame operations
result = df.filter("revenue > 1000") \
.groupby("region") \
.agg(
us.sum("revenue"),
us.mean("cost")
) \
.sort("revenue", descending=True)
# Or use SQL
result = us.sql("""
SELECT region, SUM(revenue)
FROM sales
GROUP BY region
""")Data engineers, analysts, and data scientists - all on one platform.
Visual pipeline builder with drag-and-drop simplicity. Self-healing capabilities that automatically recover from failures.
Interactive dashboards that update in real-time. SQL editor with intelligent autocomplete. Share insights across your organization.
Connect to any LLM provider. Build RAG applications with vector search. Train models with AutoML - no ML expertise required.
Security and compliance you can trust.
Start free. Scale when you're ready. No credit card required.