Navigating the Challenges of the Modern Data Stack
Data is exploding—projected to hit 394 zettabytes by 2028. Every industry depends on modern platforms to process and analyze that flood, but the usual tools are straining under scale, latency, and cost. Distributed computing and Compute Over Data (CoD) flip the model by bringing compute to where data lives—on edge devices, in cloud buckets, or on-prem. Bacalhau is purpose-built for that, cutting latency, egress, and cloud bills while keeping sensitive data in place.
What Is the Modern Data Stack?
A modern data platform typically spans:
- Data sources – Apps, IoT devices, logs, business systems.
- ETL/ELT pipelines – Structure and clean raw data.
- Storage – Cloud warehouses, lakes, databases.
- Transformation & analytics – Turning data into insights at scale.
- Visualization & BI – Making insights actionable.
Shortcomings of the Traditional Stack
- Fragmentation – Stitching many tools increases integration toil.
- High costs – Storage, bandwidth, and query costs spike with volume.
- Latency & bottlenecks – Centralized architectures slow real-time decisions.
- Siloed data – Hard to share seamlessly across teams.
- Security exposure – Moving sensitive data increases breach and compliance risk.
How Bacalhau Reinvents the Stack (Compute Over Data)
Instead of hauling data to compute, Bacalhau runs compute where data already sits.
Key benefits
- Faster processing – Parallel, in-place execution for near real-time insights.
- Lower infra & cloud costs – Reuse existing nodes; avoid unnecessary transfers and storage.
- Stronger security & compliance – Process in place; reduce exposure and metadata leakage.
- Seamless integration – Works across warehouses, on-prem, edge; minimal re-architecture.
Transforming BI with Compute Over Data
With Bacalhau you can:
- Run real-time analytics without waiting on batch windows.
- Drive predictive insights closer to decision time.
- Empower teams with self-serve AI/analytics on fresher data.
- Keep using your favorite visualization tools—just feed them timely results.
Edge Computing: Processing Closer to the Data
Centralized processing adds delay and egress cost. Edge + Bacalhau means:
- Minimized latency – Process at the source.
- Lower bandwidth – Ship only what matters upstream.
- Better security – Sensitive data stays local.
- Faster decisions – Power real-time ops and AI at the edge.
Why Bacalhau Is the Future of the Modern Data Stack
Modern stacks must evolve beyond “ship everything to the cloud.” Bacalhau provides:
- A unified platform for cloud, edge, and on-prem workloads.
- Instant, real-time insights through in-place processing.
- Lower IT costs by reducing cloud dependency and data movement.
- Optimized security & compliance for regulated industries.
FAQ
What is Bacalhau?
Bacalhau is a distributed compute platform that runs jobs where data lives, cutting latency, bandwidth, and risk.
How does it improve workload management?
It schedules parallel and real-time jobs across cloud, edge, and on-prem, eliminating bottlenecks.
Is it secure?
Yes—process in place, keep metadata decentralized, enforce access controls, and meet GDPR/HIPAA needs.
How does it compare to traditional stacks?
Traditional stacks centralize; Bacalhau distributes, reducing cost and time-to-insight.
Does it integrate with my existing tools?
Yes—BigQuery, AWS, Kubernetes, data lakes, and legacy systems all work. No big rewrites.
Does it support real-time analytics?
Absolutely—Bacalhau is built for real-time and streaming use cases.
How does it reduce cloud costs?
By processing in place, it avoids redundant storage, egress, and heavy query costs.
Is it good for edge computing?
Yes—ideal for IoT, smart grids, and sensor-heavy environments; keep data local and fast.
Who benefits?
Finance/analytics, cloud providers, energy/IoT, healthcare, and any team with large, distributed data.
How do I get started?
Install Bacalhau or try Expanso Cloud. Explore docs, or contact sales for a demo.
Get Started with Bacalhau
Ready to modernize your data stack? Start with Bacalhau or reach out to our team for a tailored walkthrough. Tonight’s batch job can be tomorrow’s real-time insight.***