Simple ETL and batch jobs don't need premium Spark clusters
40–70% of Databricks workloads are simple ETL and batch jobs that don't need premium Spark clusters.
AI-powered migration of Databricks workloads to any public or private cloud in weeks, not months — cutting costs up to 75% while giving you full code portability with zero vendor lock-in.
A coding agent that helps you build and ship with AI-powered BigHammer.
40–70% of Databricks workloads are simple ETL and batch jobs that don't need premium Spark clusters.
Our AI agent autonomously discovers, translates, validates, and deploys your Databricks workloads to any destination — end-to-end, in weeks, with zero manual code rewrites.
Data quality, schema drift, latency, SLA monitoring. Self-healing Agent Ops monitors alerts, creates summaries and reports for you on autopilot — saving your stress.
Our AI agent autonomously discovers, translates, validates and deploys your Databricks workloads to any destination — end-to-end, in weeks, with zero manual code rewrites.
Learn MoreIf costs are ballooning and you are suddenly getting huge bills and spending far more than you meant to, let us show you how to fix that fast.
Why suffer with vendor lock-in? Move your workloads to the most efficient place — dramatically cutting costs.
Got a shortfall between your minimum spend agreement and your actual, real-world cloud infrastructure usage? Why face strict financial liability for the unused balance? BigHammer will stop that unconsumed cloud capacity and wasted capital.
Spending a lot on coding talent? Free up talent and coding resources by using our AI Agents to deal with mundane, repetitive tasks. BigHammer cuts 90% of manual work, smashes backlogs, and frees up teams to work on the important projects that innovate and really move the needle.
Don't get trapped by exponential TCO costs. Proprietary APIs, Delta Lake and Unity Catalog make exit painful. With our Agent Ops you are free to move workloads to other engines OR back to Databricks
Discover BigHammer's Intelligent Workload Routing
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Smarter data engineers move workloads to the most cost-effective location. Our AI Agents automatically analyse your workloads, identify which ones genuinely belong on Databricks and which ones could run more efficiently elsewhere.
Free up your resources
Learn MoreShocked by huge Databricks bills? Budget exhausted? Use your precious budget on high-value activities or simply save money. We can often reduce Databricks bills by up to 75%.
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A technical breakdown of optimal compute engines based on ETL workload.
| Workload | Engine | Why |
|---|---|---|
| Small ETL <5 GB | DuckDB (embedded) | Eliminates cluster overhead, near-zero cost |
| Medium batch | Spark on K8s / On-Prem | Lower cost, retains full Spark scalability |
| Large distributed | EMR / Dataproc | Managed Spark, auto-scaling, pay-per-use |
| Advanced ML | Premium / Databricks | Justified for complex large-scale analytics |
Our AI agent autonomously discovers, translates, validates and deploys your Databricks workloads to any destination — end-to-end, in weeks, with zero manual code rewrites.
Now you can migrate in weeks to the lowest possible cost engines.
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Save both money and time with BigHammer's end-to-end AI data platform.
Traditional
BigHammer
Don't run bicycle workloads on expensive Formula 1 infrastructure.
Experience unparalleled data quality, schema drift, latency and SLA monitoring.
Our AI Agents auto-fix issues with remediation, retries and failover routing.
Track per-job costs with full transparency and anomaly detection.
Continuous optimisation based on actual usage patterns.
Reduce costs with 24/7 AI Agents across your data stack to boost productivity.
AI Agents handle discovery, translation and validation automatically, so your engineers spend their time on high-value work instead of repetitive pipeline maintenance.
Migrate workloads and ship production-ready data products in weeks, not months — with zero manual code rewrites.
Cut licensing, compute and maintenance costs across your data stack. We can often reduce Databricks bills by up to 75%.
Continuous monitoring of data quality, schema drift and latency keeps your analytics accurate, governed and decision-ready.
Route every workload to the most cost-effective engine — DuckDB, Spark, EMR or Databricks — with full portability and zero vendor lock-in.
One autonomous agent replaces a tangle of tools, giving you clear visibility into per-job cost and performance.
Take the leap forward
Reduce costs and free up time for innovation.
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Reduce costs, improve performance, and scale faster with AI-powered Databricks optimization.