WarpStream vs. Redpanda: Diskless Apache Kafka® vs. C++ Kafka

Both are Kafka-compatible streaming platforms you can run as a managed, Bring-Your-Own-Cloud (BYOC) service, so this isn’t a compatibility decision. Redpanda made Kafka faster on disk. WarpStream made Kafka diskless. They make opposite bets about where your data lives, what you pay to run it, and how much access your vendor needs.

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TL;DR

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The same Kafka clients work with both, so this is an architecture choice, not a compatibility one. WarpStream eliminates local disks, inter-AZ replication fees, and broker rebalancing by writing straight to object storage, and its Lightning Topics option narrows the latency gap when you need it. The one thing Redpanda still does better is absolute lowest end-to-end latency. But most streaming workloads (logging, observability, analytics, ML pipelines, ETL, etc.) don’t need that, and where they don’t, WarpStream wins on cost, operations, and data governance.

The Core Difference
WarpStream vs. Redpanda at a Glance
The Cost Difference Is Mostly Networking
Is WarpStream Faster Than Redpanda?
Kafka Compatibility
BYOC and Data Sovereignty
Migrating Is a Config Change, Not a Rewrite
When is WarpStream The Best Choice?
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The Core Difference: Object Storage vs. a Faster Broker

Redpanda is a C++ reimplementation of Apache Kafka. It removes the JVM and ZooKeeper and uses a thread-per-core design to squeeze high performance out of each broker. But architecturally it keeps the Kafka model intact: stateful brokers, local disks on the write hot path, and data replicated across nodes and availability zones. Its tiered storage can offload older log segments to object storage, but fresh writes still land on broker-local disk.

WarpStream takes the opposite approach. There are no brokers and no local disks. Stateless Agents speak the Kafka protocol and write data directly to object storage (S3, GCS, or equivalent), which becomes the system of record. Because durable data isn’t owned by any single node, any Agent can serve any topic or partition, and you can add or remove Agents in seconds without moving data or rebalancing.

A Note on Deployment Models: Which Redpanda?
WarpStream ships one deployment model: BYOC. Stateless Agents plus your own object storage, running in your cloud. Redpanda ships several: Serverless and Dedicated (both fully hosted in Redpanda’s cloud), BYOC (Redpanda-managed brokers in your own VPC), and self-managed. To keep this apples-to-apples, the comparison below is against Redpanda BYOC — the like-for-like “your cloud, your data” option (except where noted).
Redpanda Serverless is worth calling out on its own: it’s the lowest-ops way to run Redpanda, but a different trade, not an equivalent. Your data lives in Redpanda’s cloud rather than your own account, so you give up data sovereignty, plus there are throughput caps and usage-based pricing. That’s the choice Redpanda asks you to make: full SaaS or data sovereignty. WarpStream’s argument: you shouldn’t have to choose.
Redpanda BYOC
Redpanda control plane
cross-account IAM + break-glass
Your cloud account (VPC)
Inter-AZ replication $$$
Producers
Broker · AZ-a
local disk
Broker · AZ-b
local disk
Broker · AZ-c
local disk
Object storage (tiered · cold only)
WarpStream
WarpStream control plane
metadata only · no IAM · zero access
Your cloud account (VPC)
no inter-AZ fees
Producers
Agent · stateless
Agent · stateless
Agent · stateless
Object storage — system of record (100%)

Redpanda replicates across brokers and AZs and tiers to object storage. WarpStream writes once to object storage.

One point that’s easy to blur: Redpanda uses object storage too, but as tiered storage, not primary. Fresh writes land on local disk; older segments offload to object storage. So Redpanda BYOC pays for both the pricier local disks on the hot path and object storage, plus the complexity of two tiers. WarpStream is single-tier: object storage is the only storage. The statement, “Both use object storage,” is true but misleading.

WarpStream vs. Redpanda at a Glance

The “Redpanda” column refers to Redpanda BYOC (the like-for-like model). Rows that differ for Serverless are noted.
Dimension
WarpStream
Redpanda (BYOC)
Architecture
Diskless. Stateless Agents write directly to object storage; any Agent serves any partition.
C++ Kafka reimplementation. Stateful brokers, thread-per-core, no JVM or ZooKeeper.
Disk Usage
No local disks, single tier. Object storage is the system of record for hot and cold data.
Two tiers: local NVMe/SSD on the hot path plus tiered object storage for cold data — you pay for both.
Latency
Higher baseline (hundreds of ms). Lightning Topics ~33ms median produce (S3 Express), ~70% below standard — no transactions/ordering on those.
Low latency, including sub-100ms. Strongest single-node performance here.
Scaling and Throughput
Stateless Agents autoscale in seconds; no rebalancing. No hard throughput cap; 100,000s of partitions in prod.
No on-demand autoscaling — you select a fixed usage tier (max ingress/egress, partitions, connections). Redpanda lists up to ~4 GB/s read and 112,500 partitions; higher throughput means moving up a tier.
BYOC
Yes. Data plane in your cloud is stateless — no disks or brokers to provision or scale.
Yes. Data plane runs stateful brokers you provision in your VPC/VNet.
Data Residency
Data lives only in your object storage; control plane is separate and never holds your data.
Data stays in your VPC on BYOC; it lives on broker-resident disk.
Kafka Compatibility
Kafka-protocol compatible (Go). Transactions/EOS, compacted topics, Confluent-compatible schema registry.
Kafka API-compatible (C++). Strong, with occasional edge-case divergence (e.g. some JVM-dependent Connect plugins).
Cost Model
Object storage + compute, single tier. No inter-AZ replication fees. Pricing published, with a public calculator.
Local disk + object storage (tiered) + cross-AZ replication + compute. No public BYOC pricing — routes to sales.
Vendor Access / Governance
Control plane coordinates metadata only; zero standing cross-account privileges; no break-glass into your account.
BYOC agent needs standing cross-account IAM (some wildcard-scoped); engineers can use a break-glass mechanism during incidents.

The Cost Difference Is Mostly Networking

For most Kafka-style workloads in the cloud, the biggest line item isn’t storage or compute, it’s inter-AZ network transfer from replicating data between brokers across availability zones. Redpanda inherits this cost because it inherits the replicated-broker model. Its tiered storage lowers the cost of keeping data around but doesn’t remove the replication traffic on the write path.

WarpStream removes the inter-AZ replication path entirely: Agents write once to object storage, and object storage handles durability. You trade per-broker disk and cross-AZ transfer for object-storage requests and storage, making it dramatically cheaper at scale. There’s a second cost gap on storage itself: because Redpanda is tiered, you pay for local disk and object storage, where with WarpStream you only pay for object storage.

You can also check the math yourself. WarpStream publishes its BYOC pricing and has a public cost calculator, so you can model your own workload up front. Redpanda publishes no pricing at all — their trial, Serverless free tier, and “price estimator” all route to sales.

Relative monthly cost
WarpStream
Redpanda BYOC
Compute
Object storage
Local disk
Inter-AZ networking

Illustrative cost composition. Redpanda publishes no pricing, so this shows architectural cost drivers, not quoted totals. Inter-AZ networking is typically 80%+ of Kafka cloud spend.

Is WarpStream Faster Than Redpanda? No, and Here’s Why That’s OK

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We’ll be straight about this: for the absolute lowest end-to-end latency, Redpanda wins. Writing to local disk is faster than writing to object storage, so Redpanda can deliver consistently lower, sub-100ms latencies that WarpStream’s baseline architecture doesn’t match. If your workload genuinely needs single-digit-to-low-double-digit-millisecond latency — say, certain financial or real-time serving paths — that’s a real reason to choose Redpanda, and we’d tell you so.
That’s the only thing you give up, and the question worth asking is whether your workload actually needs it. The large majority of streaming workloads — logging, observability, analytics ingestion, ML feature and training pipelines, ETL — are throughput- and cost-sensitive, not latency-critical. For those, hundreds of milliseconds is invisible. And for the cases in between, WarpStream’s Lightning Topics reach ~33ms median produce latency (on S3 Express One Zone), roughly 70% below standard topics.
“For our use case, which is mostly for ML logging, we do not care as much about latency … low latency is pretty cool, but do you really require it?”
Staff Software Engineer, ShareChat
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Kafka Compatibility: Both Strong, With Real Nuance

Neither WarpStream nor Redpanda runs Apache Kafka’s actual code — Redpanda is a C++ rewrite, WarpStream is a Go implementation of the Kafka protocol. Both are highly compatible with existing Kafka clients, tools, and connectors, and in most pipelines you won’t change application code to move to either.
Where it matters is the edges. Redpanda documents compatibility for Kafka clients from 0.11 onward with a published list of exceptions; teams occasionally hit divergence around tooling that assumes JVM internals. WarpStream supports the features production pipelines lean on — transactions and exactly-once semantics, compacted topics, and a Confluent-compatible schema registry. The right move for either platform is the same: check your specific clients, connectors, and protocol features against the vendor’s compatibility page before you commit.

BYOC and Data Sovereignty: Same Idea, Different Data Plane

Both WarpStream and Redpanda offer Bring Your Own Cloud, and in both cases your data stays inside your own cloud account rather than a vendor’s. So BYOC alone isn’t the differentiator — what runs inside your account, and who can reach into it, is.

With Redpanda BYOC, the data plane is a cluster of stateful brokers deployed in your VPC or VNet: you’re hosting the disks, the replication, and everything that comes with scaling stateful infrastructure, even though Redpanda manages it. With WarpStream BYOC, the data plane is a pool of stateless Agents and your own object-storage bucket — no disks, no broker state, nothing to rebalance. Your data never leaves your object storage, and the control plane that coordinates metadata never holds it. Same sovereignty guarantee; far less to operate.

There’s a second difference that matters to security and compliance teams: how much standing access the vendor needs. Redpanda’s BYOC agent requires cross-account IAM permissions to manage cluster resources on an ongoing basis — some scoped to wildcard resources — and Redpanda documents a break-glass mechanism its engineers use to enter the environment during incident response. WarpStream needs none of that: the Agents run entirely under your control, and the control plane requires no standing cross-account privileges and has no break-glass path into your account.
WarpStream Zero Access diagram

Migrating Is a Config Change, Not a Rewrite

WarpStream speaks the Kafka protocol, so your existing producers, consumers, and connectors keep working. Orbit replicates topics — including record offsets, consumer groups, ACLs, and cluster configuration — from any Kafka-compatible source into WarpStream, so you can migrate one topic at a time or run continuous replication for a gradual cutover with no big-bang switch.
1
Point Orbit at your source cluster.
2
Replicate topics, offsets, consumer groups, and ACLs.
3
Cut over producers one topic at a time.
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Why Switch to WarpStream
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When is WarpStream The Best Choice?

For the large majority of streaming workloads, WarpStream is the better fit:
Your workload is throughput- and cost-sensitive rather than latency-critical (logging, observability, analytics, ML pipelines, ETL).
You want to eliminate local disks, inter-AZ replication fees, and broker rebalancing.
You want BYOC data sovereignty without handing a vendor standing access to your cloud account.
You want to model and see your pricing up front rather than negotiate it.

The honest caveat

Redpanda may be the better choice in one case — if your workload genuinely requires the absolute lowest possible end-to-end latency and you’re willing to run and scale stateful brokers to get it. It’s a legitimate reason to pick Redpanda, but a requirement most streaming workloads don’t actually have.
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Explore WarpStream

Bring Your Own Cloud
WarpStream's hybrid BYOC deployment model provides the ease of use of a fully cloud hosted solution, but the cost profile, security, and data sovereignty of a self-hosted deployment.
Data Governance
Store all your schemas in WarpStream's Confluent-Compatible BYOC Schema Registry. Do stateless, quick deploys and manage traffic spikes with auto-scaling.
Orbit
Orbit allows you to automatically replicate topics (including record offsets), consumer groups, offset gaps, ACLs, and cluster configurations.
Multi-Region Clusters
Multi-Region Clusters guarantee  zero data loss (RPO=0) out of the box with zero additional operational overhead. Multi-region consensus and automatic failover handling.
Managed Data Pipelines
ETL and stream processing from within your WarpStream Agents and cloud account. No additional infrastructure needed. You own the data pipeline – end to end.
Integrations
WarpStream supports sending data to and from 100+ different sources and destinations out of the box. Just pick your integration and plug it in seamlessly.
WarpStream Tableflow
New!
Tableflow is an Iceberg-native database that materializes tables from any Kafka topic and automates ingestion, compaction, and maintenance. A truly complete real-time data lake solution.
Tableflow data lake architecture diagram
Why Switch?
Learn why teams are switching to WarpStream and choosing a simpler, faster, cloud-native way to stream data at a fraction of the cost.
WarpStream Lightning Topics: 33ms on S3. The trade-off is over.
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FAQs

Don’t see an answer to your question? Check our docs, or contact us directly.

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Is WarpStream faster than Redpanda?

No — for raw latency Redpanda is faster; it writes to local disk and can deliver sub-100ms latencies. WarpStream’s baseline is higher (hundreds of ms) because data goes straight to object storage. Lightning Topics help for in-between cases (~33ms median produce latency on S3 Express One Zone), but if you need consistently low latency, Redpanda is the better choice. For throughput- and cost-sensitive workloads that tolerate higher latency, WarpStream trades latency for major cost and operational savings.

Which is cheaper, WarpStream or Redpanda?

For most cloud workloads, WarpStream. The dominant cost in a replicated-broker system is inter-AZ transfer plus cloud disk; Redpanda’s tiered storage cuts retention cost but not those hot-path drivers. WarpStream writes once to object storage and eliminates inter-AZ replication fees. It also publishes pricing and a public calculator; Redpanda publishes none — trial, Serverless free tier, and the price estimator all route to contact sales.

How is WarpStream’s BYOC different from Redpanda’s BYOC?

Both keep data in your own cloud account; the difference is what runs there. Redpanda BYOC deploys stateful brokers with local disks into your VPC. WarpStream BYOC deploys stateless Agents that write to your own object-storage bucket — no disks, no broker state to manage or scale. Same sovereignty guarantee, much less operational overhead.

Does WarpStream get access to my cloud environment or data?

No. Agents run in your account under your control, and the control plane coordinates metadata only — no standing cross-account privileges and no break-glass path into your account. This differs from Redpanda BYOC, where the agent holds ongoing cross-account IAM and Redpanda documents a break-glass mechanism for engineer access during incidents.

What about Redpanda Serverless — isn’t that simpler than BYOC?

Serverless is the lowest-ops way to run Redpanda, but a different trade-off, not an equivalent: your data lives in Redpanda’s cloud rather than your account, so you give up data sovereignty, plus throughput caps and usage-based pricing. WarpStream’s BYOC is already zero-ops — stateless, autoscaling Agents with no brokers to manage — so you get serverless-like simplicity without giving up sovereignty or granting a vendor access.

Can I migrate from Redpanda (or Kafka) to WarpStream without downtime?

Yes. WarpStream is Kafka-protocol compatible, so clients and connectors work unchanged, and Orbit replicates topics, offsets, consumer groups, and ACLs from any Kafka-compatible source. Migrate topic by topic or run continuous replication for a gradual cutover.