Aqfer
FUSION · THE INTELLIGENT DATA PROCESSING ENGINE

Rethink the Economics of Big Data Processing

Reduce your Spark and Databricks compute costs by 50%+ without moving data, rewriting applications, or changing existing workflows.

BUSINESS IMPACTSPARKFUSION
50%+Lower Compute Costs
16x+Efficiency on Sorts, Joins & Merges
Up to20xAcceleration for Custom Processing
The challenge

Big Data Processing Has Become Too Expensive

The workloads that matter most are often the ones costing the most to run.

Compute-Intensive Workloads
Large joins, sorts, shuffles, merges, and high cardinality workloads consume enormous amounts of compute.

Failures Drive Costs Higher
Out of memory failures, retries, and over provisioning add even more cost.

Reducing Costs Means More Work
Tuning Spark, adding infrastructure, rewriting pipelines, moving data, or changing platforms.
Why fusion

The Infrastructure Changed. The Execution Model Didn’t.

Modern cloud networks are faster. Machines are more powerful. Storage is more open. Yet much of big data processing still relies on assumptions established nearly 20 years ago.

SPARK
Move data to compute
Local disks and HDFS made moving data close to compute necessary.
FUSION
Process data where it lives
Work directly against S3, Iceberg, and Unity catalogs.
SPARK
Add more machines
Big workloads mean coordinating large clusters of machines.
FUSION
Use fewer, more powerful machines
Modern cloud compute can handle far more work on each machine.
SPARKJVMHADOOP
SPARK
Pass data through framework layers
Spark, JVM, and Hadoop era layers add translation and overhead.
FUSION
Process data directly
Native Parquet and Avro processing avoids unnecessary layers.
SPARK
Use generic MapReduce and shuffle
Different workloads are pushed through the same general execution model.
FUSION
Use purpose built algorithms
Specialized algorithms for joins, sorts, shuffles, and collations.

Same development process. Same operations. Best execution path.

Change the Economics of Big Data Processing

Reduce your Spark and Databricks compute costs by 50% or more without moving your data, rewriting your applications, or replacing the infrastructure you've already invested in.