On-Premises Architecture
Not every workload belongs in the cloud. We architect and maintain on-premises big data infrastructure for organizations that need full control over their data, must meet strict compliance requirements, or require the raw throughput of local hardware. From Hadoop clusters to hybrid architectures — we build systems that perform.
What We Build
Hadoop & Cloudera
Enterprise Hadoop deployments with Cloudera CDP. HDFS, YARN, and MapReduce configured for reliability and performance at scale.
Apache Spark
In-memory distributed processing for batch and streaming workloads. Spark SQL, MLlib, and Structured Streaming tuned for your data volumes.
Data Center Design
Hardware sizing, rack layout, network topology, and storage architecture. We plan capacity so you invest where it matters.
Hybrid Infrastructure
Bridge on-prem and cloud environments with secure connectivity, data sync, and unified monitoring across both worlds.
Enterprise Technologies
We have deep experience across the on-premises big data stack:
- ✓ Cloudera CDP — Data platform administration, upgrades, security (Kerberos, Ranger, Knox)
- ✓ Apache Spark — Performance tuning, memory management, job scheduling and optimization
- ✓ HDFS & Storage — Cluster expansion, data replication, tiered storage, and erasure coding
- ✓ Monitoring & HA — Ambari, Cloudera Manager, Grafana, high-availability failover
DRAVN — On-Prem Data Integration
Our visual pipeline builder DRAVN runs fully self-hosted on your infrastructure. Connect to Hadoop, Impala, Kafka, and on-prem databases with zero data leaving your network. Includes Spark execution for large-scale processing.
Learn more at dravn.tech→