UniSpark DataFrame

Tired of Slow Data?

The Old Way

Queries take minutes, sometimes hours
Memory errors crash your notebook
Waiting kills your productivity
Frustrating for large datasets

The UniSpark Way

Same queries complete in seconds
Handle datasets 10x larger
Stay in flow, get more done
Same API you already know

10-30x Faster Processing

10x Larger Datasets

0 Learning Curve

Instant Interop with pandas

Same API. Extraordinary Speed.

If you know pandas, you already know UniSpark.

                            
                            
                            
                            analytics.py
                        
import unispark as us

# Load your data
df = us.read_parquet("sales_data.parquet")

# Familiar operations - now 10-30x faster
result = df.filter("revenue > 1000") \
           .groupby("region") \
           .agg(
               us.sum("revenue"),
               us.mean("cost")
           ) \
           .sort("revenue", descending=True)

# Or use SQL if you prefer
result = us.sql("""
    SELECT region, SUM(revenue), AVG(cost)
    FROM sales
    WHERE revenue > 1000
    GROUP BY region
    ORDER BY SUM(revenue) DESC
""")

# Convert to pandas anytime
pandas_df = result.to_pandas()

Everything You Need

Blazing Fast

Queries that took minutes now complete in seconds. Process larger datasets without memory issues.

SQL + DataFrame

Use DataFrame API or SQL interchangeably. Mix them in the same workflow. Your choice.

pandas Compatible

Convert to/from pandas instantly. Works with your existing visualization and ML libraries.

Scales Seamlessly

From laptop to cluster. Start small, grow big. No code changes needed.

GPU Acceleration

Turn hours into seconds. Automatic GPU optimization.

100x Faster on Large Datasets

Complex aggregations and joins that took hours now complete in seconds. GPU processing makes the impossible possible.

Automatic Optimization

No code changes needed. UniSpark automatically detects GPU availability and optimizes your queries. Just run your code.

Works with NVIDIA GPUs. Multi-GPU support for enterprise workloads.

All the Operations You Need

Full DataFrame functionality. Comprehensive SQL support.

Data Loading

CSV, Parquet, JSON, databases - load data from anywhere. Export to any format.

Filtering & Selection

Select columns, filter rows, sample data. All the operations you use daily.

Aggregations

Sum, mean, count, min, max, percentiles. Group by any column combination.

Joins & Unions

Inner, left, right, full outer joins. Union, intersect, except operations.

Window Functions

Rank, row number, lag, lead, running totals. Complex analytics made simple.

String & DateTime

Full string manipulation. Complete date/time operations. Parse, format, calculate.