GCP Data Engineering
A real Google Cloud data platform for self-directed practice — BigQuery, Dataproc and Dataflow wired together. Announced; not yet on sale.
BigQueryDataprocDataflowPub/SubCloud Storage
Not yet on sale — pricing to be announced
Products
Practice Spark, Kafka, Airflow and Databricks in real, pre-configured environments — no installs, no setup, ready in seconds. Two products on sale today; Azure, GCP and AWS Data Engineering are announced.
Lab catalog
Big Data Engineering
Build the distributed-systems foundation hiring teams expect for data engineer and platform roles.
HadoopSparkPySparkHiveKafkaAirflowTrinoPresto+5 more
₹899/month
Databricks Data Engineering
A real Azure Databricks workspace for self-directed practice — multi-node Spark, Unity Catalog and Lakeflow Jobs. Unlimited hours, and the cloud bill is ours.
PySparkDelta LakeUnity CatalogLakeflow JobsDeclarative PipelinesStructured StreamingAuto LoaderAsset Bundles+1 more
₹4,999/month
Azure Data Engineering
Your own Azure data platform for self-directed practice — Data Factory, ADLS Gen2, Microsoft Fabric and Azure SQL in a resource group of your own. Announced; not yet on sale.
Azure Data FactoryADLS Gen2Microsoft FabricAzure SQLSynapseEvent Hubs
Not yet on sale — pricing to be announced
AWS Data Engineering
A real AWS data platform for self-directed practice — S3, Glue and EMR wired together. Announced; not yet on sale.
S3GlueEMRAthenaKinesis
Not yet on sale — pricing to be announced
Need a team plan? Talk to us about institutional licensing
What's inside every lab
Pre-configured environment
No installs, no version conflicts, no cloud billing setup — open a lab and start in seconds.
Real infrastructure
Actual Hadoop clusters and Databricks workspaces — not simulations or mock consoles.
Your practice, your pace
Bring a curriculum or a problem. We supply the environment on the same stack real data teams use in production.
Self-paced flexibility
Learn on your schedule. Each product is a separate one-time purchase, so you can pick up another path whenever you are ready.
Find the right lab for you
Side-by-side view of focus, tools, audience, and pricing — pick what matches your goal.
| Path | Focus | Clouds & tools | Best for | Price |
|---|---|---|---|---|
| Big Data Engineering | Distributed batch & streaming | Hadoop, Spark, Kafka, Airflow, Hive, Trino, HDFS | Foundational / distributed-systems data engineering | ₹899/mo |
| Databricks Data Engineering | Azure Databricks platform | Azure Databricks, Delta Lake, Unity Catalog, Lakeflow Jobs | Databricks-focused data engineering roles | ₹4,999/mo |
| Azure Data EngineeringAnnounced | Azure data platform, end to end | Azure Data Factory, ADLS Gen2, Microsoft Fabric, Azure SQL, Synapse | Azure-first data engineering roles | To be announced |
| GCP Data EngineeringAnnounced | Google Cloud data platform | BigQuery, Dataproc, Dataflow, Pub/Sub | GCP-first data engineering roles | To be announced |
| AWS Data EngineeringAnnounced | AWS data platform | S3, Glue, EMR, Athena, Kinesis | AWS-first data engineering roles | To be announced |
Common questions
No. Every lab runs in a pre-configured environment we host. Open a lab and start working — no local installs, no cluster setup, no dependency wrangling.
Real infrastructure. You work in live Hadoop clusters and Databricks workspaces — the same class of environments production teams use.
Yes. Each product is bought separately as a one-time purchase for the access period you choose. There is no upgrade or switch mechanism — if you want another path, you purchase it as its own product, and each stays active for its own access period.
Yes. Verth Labs is available worldwide with no geographic restrictions. Pricing displays in INR for India and USD elsewhere.
Seconds. Environments boot pre-configured — you skip hours of setup and land directly in a ready-to-use lab.
Practical skills on production-grade tools, built inside real environments — not toy demos or slide decks.