One Confluent India platform to put your data in motion.
How a Mumbai lending firm moved off nightly batch jobs, started acting on payments and fraud the moment they happened, and kept its data inside India. Story below.
Confluent Data Streaming Platform at a glance
Why Confluent anchors most Indian data streaming platform estates.
- OEM
- Confluent, Inc., Mountain View, California, founded in 2014 by Jay Kreps, Jun Rao and Neha Narkhede, the engineers who created Apache Kafka at LinkedIn. It trades on the Nasdaq as CFLT and Jay Kreps is chief executive. Sirius Star scopes, licenses and runs it for Indian businesses from Navi Mumbai.
- What it is
- Confluent is a data streaming platform built on Apache Kafka. It carries events the moment they happen, so payments, orders, sensor readings and app activity can be acted on in real time rather than in an overnight batch.
- Why teams pick it
- Running open-source Kafka yourself means babysitting brokers, patching, scaling and security on your own. Confluent runs that engine for you and adds stream processing, connectors and governance, so your team ships real-time features instead of maintaining plumbing.
- Core technology
- Confluent Cloud is fully managed Kafka on the Kora engine, Confluent Platform is the self-managed version for your own datacentre, WarpStream is the bring-your-own-cloud option, managed Apache Flink handles stream processing, and Stream Governance keeps data documented and controlled.
- New since 2024
- Confluent acquired WarpStream in 2024 for a low-cost bring-your-own-cloud design. Tableflow now exposes Kafka topics as Apache Iceberg and Delta Lake tables, and Confluent Intelligence adds Streaming Agents and a Real-Time Context Engine to feed live data to AI systems.
- India reach
- Sold in India on an enterprise subscription through the channel, not off a shelf. Confluent Cloud can run in an Indian cloud region such as Mumbai, or you can run Confluent Platform on your own racks, so you decide where the data sits.
- Sirius Star role
- We map your real-time use cases, size the Confluent design, choose Cloud, Platform or WarpStream, wire up connectors, set Stream Governance for DPDP, migrate you off self-run Kafka, and run it from Navi Mumbai.
The Confluent Data Streaming Platform ranges Sirius Star supplies
Pick the range that matches the use case. We size the mix in the free 30-minute review.
Confluent Cloud
Fully managed Apache Kafka on the Kora engine. The reason most Indian firms start here instead of running Kafka themselves.
- No brokers to patch, scale or babysit
- Autoscaling with throughput savings on the Kora engine
- Runs in an Indian cloud region for residency
- 120+ connectors to plug in your systems
Confluent Platform
The self-managed data streaming platform for teams that must keep Kafka inside their own datacentre.
- Runs on your own hardware inside your walls
- Full control of data location and access
- Enterprise security, RBAC and audit built in
- The path when data cannot leave the building
WarpStream
A diskless, bring-your-own-cloud Kafka design for large, cost-sensitive workloads that can accept a little more latency.
- Runs inside your own cloud account
- Diskless design that cuts streaming cost at scale
- Kafka-compatible, so apps do not change
- Fits big pipelines with relaxed latency needs
Flink, Connectors & Tableflow
Managed Apache Flink for stream processing, connectors to your systems, and Tableflow to feed your data lake.
- Process and join streams live with managed Flink
- Connect databases, apps and SaaS with ready connectors
- Expose topics as Iceberg or Delta tables with Tableflow
- Document and control data flow with Stream Governance
Confluent Data Streaming Platform vs Open-source, Amazon, Redpanda
All four are honest choices. Most Indian buyers land on the first option for service depth and ecosystem fit.
| Brand | Where it wins | Best fit |
|---|---|---|
| Confluent | The data streaming platform from the people who built Apache Kafka, with a fully managed cloud, a self-managed option, a bring-your-own-cloud design, managed Flink and governance in one place. | Indian businesses that want real-time data without running Kafka infrastructure themselves, and that need a choice of where data physically sits. |
| Open-source Apache Kafka | The free, self-run engine underneath, with full control and no licence fee. | Teams with the engineers and time to patch, scale, secure and monitor Kafka clusters on their own. |
| Amazon MSK | Managed Kafka inside AWS, billed with the rest of your AWS estate. | Teams committed to AWS that are comfortable adding stream processing and governance separately. |
| Redpanda | A Kafka-compatible engine written for high throughput on fewer machines. | Teams chasing raw performance on lean hardware that will build the surrounding tooling themselves. |
How a Sirius Star Confluent procurement runs
Free 30 minute review first. Then a written quote in 24 working hours.
Streaming use-case survey
Free. We map where you need data in real time today, what feeds it, and where DPDP residency rules apply.
Platform design and quote
We size the Confluent design, pick Cloud, Platform or WarpStream, plan connectors and Flink, then quote in 24 working hours.
Build and migrate
We stand up the platform, wire connectors, move you off self-run Kafka, and set Stream Governance for control and residency.
Run and tune
We watch throughput and lag, control cost, tune the streams, and review the design as your data grows.
Real-time data streaming in India, a field guide
The deeper read for CTOs, engineering heads and data leaders who are tired of decisions running a day behind the business.
- The full Mumbai lending firm real-time story
- Four buyer questions before you pick a streaming platform
- An 8-point data streaming checklist
- Four moves that make real-time data actually pay off
Confluent Data Streaming Platform India FAQ
Common questions about this brand for Indian buyers. Hover any underlined term for a plain-English definition.
What is Confluent and what does it do for an Indian business?
Confluent is a data streaming platform built on Apache Kafka by the engineers who created Kafka. It moves events the moment they happen, so payments, orders, sensor data and app activity can be acted on in real time instead of in an overnight batch. For an Indian business the point is real-time features without running Kafka infrastructure yourself, with data kept in an Indian cloud region or on your own racks. Send Sirius Star your real-time use cases and we return a scoped quote in 24 working hours.
How is Confluent different from running Apache Kafka ourselves?
Open-source Kafka is the free engine, but you own everything around it: patching, scaling, security, monitoring and recovery. That takes skilled engineers and constant attention. Confluent runs that engine for you, whether fully managed as Confluent Cloud, self-managed as Confluent Platform, or bring-your-own-cloud as WarpStream, and adds managed Flink, connectors and Stream Governance. Your team builds real-time features instead of maintaining plumbing. Sirius Star helps you pick the right option and migrates you across.
Can Confluent keep our data inside India?
Yes. Confluent Cloud can run in an Indian cloud region such as Mumbai, so events stay in the country, or you can run Confluent Platform on your own hardware inside your datacentre where data never leaves the building. Either way you decide where the data physically sits, which is what an auditor asks about under the DPDP Act, and Stream Governance documents what data flows where. Sirius Star sets the residency design with you.
How is Confluent priced in India?
Confluent is an enterprise subscription, not a per-seat retail price. It is sized by how much data you stream, the throughput you need, and the capabilities you turn on such as managed Flink, connectors or WarpStream. As an indicative guide*, a serious production deployment runs into lakhs per year and up, but the honest figure comes from a short scoping call about your throughput and use cases. After that call Sirius Star returns a written quote in 24 working hours.
What does Sirius Star do beyond selling the licence?
We do the work around the platform. We map your real-time use cases, size the Confluent design, choose Cloud, Platform or WarpStream, wire up connectors, set up managed Flink for stream processing, and configure Stream Governance for DPDP. We migrate you off self-run Kafka, then run the platform, watch throughput and lag, control cost and review the design as you grow. The work is run from Vashi, Navi Mumbai, with a written 24 working hours quote SLA.
Ready for a Confluent quote?
Tell us where you need data in real time, what systems feed it and your residency rules. Sirius Star sizes the Confluent design and plans the migration.
Pair this on one PO
What buyers typically add to a Sirius Star order. Each link is a live page on the Sirius Star site.
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Head-to-head comparisons from the Sirius Star team.
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Head-to-head comparisons from the Sirius Star team.
Related reading from the Sirius Star blog
Long-form context from our team. Each link is a live post on siriusstar.in.