DataAccelerates ships Spark, Airflow, MinIO, Hive, HDFS, and Superset pre-wired in a single Docker Compose stack — so your team spends time building pipelines, not configuring infrastructure.
Powered by the World's Best Open-Source Data Tools
MinIO
Apache Spark
Apache Airflow
HDFS / Hadoop
Apache Hive
Apache Superset
Power BI
Docker
From raw data sources to live Power BI dashboards — watch the full end-to-end pipeline in under 5 minutes.
Prefer a live walkthrough with our team?
Book a 1-on-1 DemoData engineering requires stitching together dozens of tools each with its own setup, versioning, and integration headaches. Most teams waste weeks before writing a single pipeline.
Configuring Spark, Airflow, Hive, and HDFS from scratch takes 3–6 weeks of DevOps effort before a single line of pipeline code is written.
Average: 3–6 weeks to first pipeline
Getting Spark to talk to Hive, Hive to HDFS, and Airflow to orchestrate it all version conflicts and misconfigurations haunt every step.
60% of effort lost to config issues
Cloud-managed platforms charge per compute unit, per TB, per seat. Costs balloon with data growth and you lose control of your stack.
Managed: $30K–$200K+/yr
DataAccelerates packages your entire data engineering stack into one pre-configured, battle-tested platform. Deploy once. Build pipelines immediately.
Pull the repository and set your environment variables. Pre-configured defaults mean you're ready in under 5 minutes.
git clone dataaccelerates
cp .env.example .env
A single Docker Compose command spins up all 8 services — fully networked, correctly versioned, and production-ready.
docker-compose up -d
# All services running ✓
Write Airflow DAGs, process with PySpark, query with HiveQL, and visualize instantly in Superset or Power BI.
SELECT * FROM gold.sales_kpi
# Data ready in Superset ✓
DataAccelerates automatically organises your data into Bronze, Silver, and Gold layers. Data quality improves at every tier, automatically.
Full fidelity source data. Zero transformation.
Validated and enriched data ready for analytics.
Aggregated tables for Power BI or Superset.
Gold Layer - Business
Aggregates
Silver Layer - Cleaned &
Validated
Bronze Layer - Raw
Ingestion
No assembly required. All components pre-configured, pre-integrated, and production-tested from day one.
A single docker-compose up command boots your entire
platform. Spark, Airflow, MinIO, Hive — all networked.
→ Running in under 10 minutes
Apache Airflow powers pipeline scheduling with a rich DAG editor, built-in retries, dependency resolution, and full observability.
→ 1000+ pre-built Airflow operators
Apache Spark processes billions of rows in parallel. Write in PySpark, SQL, or Scala — the engine scales horizontally as you grow.
→ Process terabytes with Python syntax
MinIO delivers enterprise-grade object storage with full S3 API compatibility. Your data stays on your hardware — zero vendor lock-in.
→ S3 API, on-premise, multi-tenant
Apache Hive + Thrift Server exposes your data lake via standard SQL. Connect any BI tool through JDBC/ODBC — Power BI or Tableau.
→ HiveQL, Spark SQL, or ANSI SQL
Apache Superset is pre-connected to your warehouse. Build interactive dashboards immediately or connect Power BI via ODBC.
→ Dashboards live in minutes, not days
Every component is open source, production-proven, and trusted by thousands of enterprise data teams globally.
Compute Engine
Unified engine for large-scale batch and streaming data processing.
Orchestrator
Programmatically author and monitor complex data pipelines.
Object Store
S3-compatible high-performance object storage for AI.
Storage Layer
Fault-tolerant distributed file system for massive data lakes.
Warehouse
Managing and querying large datasets using a SQL-like interface.
SQL Endpoint
Enables remote access for BI tools via JDBC/ODBC connections.
Visualization
Enterprise BI platform for rapid, interactive data exploration.
Reporting
Industry-standard visualization linked to your open-source warehouse.
Whether you're a startup building your first data platform or an enterprise escaping costly managed services - DataAccelerates meets you where you are.
Replacing expensive cloud-managed services
Building the data foundation fast
Learning on a real production stack
Getting insights without waiting on engineering
| Capability | DataAccelerates OPEN SOURCE | Databricks | AWS Glue | DIY Setup |
|---|---|---|---|---|
| Zero licensing costs | ✓ | ✕ | ✕ | ✓ |
| Deploy in < 1 hour | ✓ | ✓ | ~ | ✕ |
| Data sovereignty (on-premise) | ✓ | ✕ | ✕ | ✓ |
| Pre-integrated components | ✓ | ✓ | ~ | ✕ |
| Medallion architecture built-in | ✓ | ~ | ✕ | ✕ |
| No cloud vendor lock-in | ✓ | ✕ | ✕ | ✓ |
Everything you need to know about the platform and its architecture.
Join data teams who've replaced weeks of infrastructure work with a single Docker command. Your first pipeline can be live today.