Cloudera vs Teradata: Enterprise Data Platform India
Comparing two brands Sirius Star services in India.
Cloudera vs Teradata: pick the engine, not the brand name
Cloudera runs one governed lakehouse across cloud and your own racks. Teradata runs one warehouse engine built for heavy concurrent SQL.
Cloudera vs Teradata at a glance
Both brands in one view. Where each one wins, and where the ASP network changes the answer.
Cloudera
- OEM
- Cloudera, Inc., Santa Clara. Privately held since the 2021 Clayton, Dubilier & Rice and KKR buyout, in the shape formed by the 2019 Cloudera-Hortonworks merger.
- What it is
- One governed platform (CDP) for data engineering, warehousing, streaming and AI, running the same way in public cloud and inside your own datacentre.
- Core technology
- Open Apache Iceberg lakehouse with SDX for shared governance and DataFlow (Apache NiFi) for streaming ingest.
- Deployment
- CDP Public Cloud inside your own cloud tenancy, or CDP Private Cloud on your own racks. One governance layer covers both.
- India reach
- Sold on enterprise subscription through the channel to BFSI, telecom, manufacturing and public sector. Deploys into Indian cloud regions or your own datacentre for in-country data.
Teradata
- OEM
- Teradata Corporation, San Diego. Nasdaq-listed, in the enterprise data warehouse business since 1979.
- What it is
- The Teradata Autonomous Knowledge Platform, renamed from Vantage in May 2026. One massively parallel SQL engine for concurrent BI, batch and AI workloads.
- Core technology
- ClearScape Analytics runs machine learning and analytics functions inside the warehouse, so governed data does not have to leave it.
- Deployment
- VantageCloud Lake (consumption pricing), VantageCloud Enterprise (reserved capacity) and VantageCore (your own datacentre), all on one SQL engine.
- India reach
- Teradata India runs offices in Gurugram and Pune. Sirius Star scopes, licenses and quotes the rollout on a 24 working hour turnaround.
The Cloudera and Teradata ranges Sirius Star supplies
Two picks from each brand. We size the mix in the free 30-minute review.
CDP Private Cloud
Governed data services on your own racks. The reason regulated Indian firms pick Cloudera.
- Runs inside your own datacentre
- Data never leaves the building or the country
- One governance layer shared with public cloud
Cloudera AI
Bring AI to governed data where it already lives. Formerly Cloudera Machine Learning.
- Build and serve models next to your own data
- Retrieval on your own Iceberg tables
- No data shipped out to an outside model service
VantageCloud Lake
The consumption-priced entry point for a new cloud data estate.
- Elastic compute clusters, pay for what runs
- Object storage underneath
- Fastest way onto Vantage for a new estate
VantageCore
The on-prem edition for banks and NBFCs that keep the core ledger on their own racks.
- Data stays on your own hardware, in-country
- Same SQL engine as the cloud editions
- The genuine on-prem answer for regulated workloads
Cloudera vs Teradata: feature by feature
The specifics that decide the buy, for the Indian buyer.
| Feature | Cloudera | Teradata |
|---|---|---|
| Pricing model | Cloudera Compute Units, prepaid credit or monthly, volume deals on enterprise subscription. | Consumption pricing on VantageCloud Lake, reserved annual pricing on VantageCloud Enterprise and VantageCore. |
| Deployment shapes | Two: CDP Public Cloud (your tenancy) and CDP Private Cloud (your racks), one governance layer. | Three: VantageCloud Lake, VantageCloud Enterprise, VantageCore, one SQL engine across all three. |
| Table and storage format | Open Apache Iceberg lakehouse. No proprietary lock-in on the table format. | Proprietary Teradata storage format, tuned tightly for the MPP engine. |
| Best workload shape | Engineering, streaming ingest and AI pipelines feeding a shared lakehouse. | Hundreds of concurrent analysts and batch jobs hitting one warehouse hard, all day. |
| AI and ML | Cloudera AI (formerly Cloudera Machine Learning) builds and serves models next to governed data. | ClearScape Analytics runs ML functions inside the warehouse so data never leaves it. |
| Hadoop migration path | Cloudera Migration Assistant moves CDH or HDP clusters onto CDP directly. | No native Hadoop migration tooling. Usually means a separate ETL and ingest project. |
| India data residency | CDP Private Cloud keeps data on your own racks, in-country by default. | VantageCore on your own datacentre gives the same in-country guarantee. |
| Support horizon | Support commitment through 2032 on CDP. | Long-standing enterprise support. Three-year-plus contracts are typical in India. |
Which one for what
The clean decision guide for common Indian B2B scenarios. Pick the row that fits.
Retiring an ageing on-prem Hadoop cluster
Cloudera. The Migration Assistant moves CDH or HDP workloads onto CDP without a from-scratch rebuild.
Hundreds of analysts querying one warehouse all day
Teradata. The MPP SQL engine is built for exactly this kind of sustained concurrent load.
One open lakehouse feeding engineering, streaming and AI
Cloudera. The Iceberg lakehouse with SDX governance is the more open, less locked-in design.
Steady-state BFSI reporting with predictable spend
Teradata VantageCloud Enterprise. Reserved-capacity pricing beats a consumption meter once utilisation stays high.
Regulated data that cannot leave your own building
Both qualify. CDP Private Cloud and VantageCore each keep data on your own racks, in-country.
How Sirius Star sizes Cloudera or Teradata
Free review first. Then a written quote in 24 working hours.
Site survey + sizing
Free 30-min call. We map load, refresh cycle, and current estate.
Both brands quoted
Written quote in 24 working hours. Itemised. GST broken out.
PO and dispatch from Vashi
Typical 10 working days for stock SKUs. Staggered rollout if multi-site.
Warranty and refresh wrap
One escalation path. Refresh calendar in writing. Buyback where offered.
Buying Enterprise Data Platform in India
Cloudera vs Teradata in India FAQ
Common questions Indian buyers ask. Answers grounded in current sources.
Is Cloudera or Teradata the better fit for an Indian bank moving off legacy Hadoop?
Which platform costs less for a steady BFSI reporting workload?
Does the DPDP Act mean Indian companies must run either platform on-prem?
What is the Teradata Autonomous Knowledge Platform?
Can Sirius Star run Cloudera and Teradata side by side in one estate?
Ready for a sized Cloudera or Teradata quote?
Tell us your data estate and compliance constraints. We size the platform that actually fits, not the one with the bigger sales team.
Pair this on one PO
What buyers typically add to a Sirius Star order.
Related reading from the Sirius Star blog
Long-form context from our team.