AWS EBS Alternatives in 2026: Performance, Pricing and Tradeoffs
Compare AWS EBS alternatives by workload, included IOPS, latency, recovery and total cost, with current Nirvana rates and qualified benchmark results.
Updated 2 October 2026. Pricing, product availability and benchmark qualifications have been reviewed. The original URL is preserved.
A database can hit its storage limit while the CPU still has room. Queries queue behind ingestion, checkpoints wait for writes, and adding compute does not necessarily solve the problem. Choosing an AWS EBS alternative starts with identifying which limit matters: IOPS, throughput, latency, recovery, or the cost of meeting all four.
Our recommendation: test a correctly provisioned AWS configuration before planning a migration. Compare Nirvana ABS when included storage performance and the cost of running the workload outside AWS are relevant. Consider Google Hyperdisk or Azure managed disks when those ecosystems fit your application. Evaluate local NVMe and software-defined storage as different operating models.
Three distinctions that change the comparison
- gp3 does not use burst credits. AWS documents a 3,000-IOPS and 125-MiB/s included baseline, with separately provisioned performance above it. Credit-based bursting applies to gp2. A busy gp3 volume should be investigated against its configured limits, rather than diagnosed as an exhausted credit bucket.
- Included IOPS, maximum IOPS and application speed are different. A larger allowance does not make every query faster. Record request size, concurrency, cache state and the latency your application actually experiences.
- A cheaper storage line item is not a cheaper deployment by itself. Compute, networking, replicas, backups, support and migration work belong in the decision.
Source: AWS gp3 and gp2 documentation.
AWS EBS alternatives at a glance
| Option | Why evaluate it? | What to check before choosing |
|---|---|---|
| AWS gp3 | Adjust storage performance while keeping an AWS workload in place. | Provisioned IOPS and throughput, instance limits and observed latency. |
| AWS io2 Block Express | Evaluate for demanding AWS-native latency and durability requirements. | Required I/O profile, supported instance, provisioned performance and bill. |
| Nirvana ABS | Evaluate included baseline IOPS for a workload that can run on Nirvana. | Application benchmark, current region and networking requirements, recovery and total cost. |
| Google Hyperdisk | Keep storage alongside a Compute Engine workload, with a type suited to its performance or availability needs. | Disk type, machine support, provisioned limits and replication configuration. |
| Azure Premium SSD v2 or Ultra Disk | Evaluate configurable storage performance for Azure virtual machines. | VM and regional support, disk restrictions and configured capacity, IOPS and throughput. |
| Local NVMe or software-defined storage | Evaluate a different data path or a storage platform operated on selected infrastructure. | Durability design, failure handling, operator responsibility and complete infrastructure cost. |
This is a shortlist by operating model, not a measured speed ranking.
When staying on AWS makes sense
gp3 can sustain its provisioned performance without a burst-credit balance. AWS currently documents up to 80,000 IOPS and 2,000 MiB/s per volume, subject to configuration requirements. Its included baseline is not its ceiling. Before moving a database, check whether additional provisioned performance and an appropriate instance meet the service target at an acceptable cost.
io2 Block Express addresses a different set of requirements. AWS documents up to 256,000 provisioned IOPS and 4,000 MiB/s on supported configurations, average latency below 500 microseconds for 16-KiB I/O on Nitro-based instances, and 99.999% designed volume durability. Average block-I/O latency is not a database p99 guarantee. Staying on AWS can also avoid application changes tied to surrounding services.
When Nirvana ABS belongs on the shortlist
Nirvana ABS includes 20,000 baseline IOPS per volume, with an advertised burst ceiling of 600,000 IOPS. The burst figure is not a promise that every workload continuously receives that rate, or a query-latency guarantee.
The current Nirvana rate card lists ABS at $0.00013 per GB per hour: $0.0949 per GB for a 730-hour month in us-sva-2. At 1,000 billed GB, the storage illustration is $94.90. Outbound egress is $0.02 per GB; ingress and internal traffic are not metered. Compute, VPCs and public IPv4 addresses have separate rates. There is no general zero-egress offer in this comparison.
We built the pricing model so a team can evaluate baseline storage performance without adding a separate per-IOPS charge. Whether that makes ABS the right choice depends on the application results and the cost of operating the complete deployment.
What the benchmarks establish
The ClickBench report records approximately 10.5 times median speedup over its tested gp3 configuration across the cold-read suite, and 14.1 times for its I/O-heavy subset. ABS runtimes were within 1.5 times io2 on about 77% of queries and within 2 times on about 98%. A runtime within 1.5 times can still be slower; this is not overall io2 parity.
Those tests used 43 queries, dropped the OS page cache, and used 50-GB volumes. The available report does not specify the ClickBench gp3 IOPS/throughput provisioning or io2 provisioned IOPS. Keep that limitation beside the results. Cold analytical reads do not establish performance during concurrent ingestion, warm-cache queries or vector retrieval.
The LangChain R3 benchmark makes the workload distinction concrete. At 100,000 tasks, Qdrant search p99 was 301 ms on ABS versus 140 ms on io2-64k, while the full mixed-agent workload finished in 58 versus 69 minutes. Faster overall completion coexisted with slower vector-query tail latency. A dependent QD=1 read path cannot be evaluated using a high-queue-depth peak IOPS result. This does not mean every vector engine or query uses QD=1.
Google Hyperdisk and Azure managed disks
Google's Hyperdisk documentation distinguishes Balanced, Balanced High Availability, Extreme, Throughput and ML. Balanced is the general-purpose starting point; Extreme targets demanding IOPS requirements. Balanced High Availability replicates data across two zones. Google also distinguishes configured performance limits from observed performance and requires a compatible instance capable of supporting the requested level.
That makes the choice broader than a per-GB rate. A team already using Google Cloud should compare the appropriate disk and availability design with the operational cost of moving elsewhere.
Microsoft's managed-disk documentation similarly separates Premium SSD v2 and Ultra Disk from other Azure disk types. Capacity, IOPS and throughput settings, VM compatibility, availability and restrictions need to be checked together. Obtain a current regional quote for the actual configuration. An old cross-cloud price table without matching units and settings cannot establish a current saving.
Local NVMe and software-defined storage
A local-device test, a replicated storage service and a software-defined storage cluster answer different questions. Decide who is responsible for copies of the data, node replacement, backups, upgrades and recovery before comparing their benchmark numbers.
Simplyblock, for example, offers software-defined NVMe storage for Kubernetes and OpenShift, including deployment on selected infrastructure. Its capabilities should be evaluated for the proposed architecture. Do not assume every deployment is just a cache in front of EBS, or compare a software license with a managed cloud bill without the infrastructure beneath it.
For a local NVMe proposal, request an explicit failure-and-recovery design. A fast device result does not show how the application behaves when that device or its host is unavailable. Measure the recovery path you intend to operate.
Build a cost comparison that can survive review
AWS EBS pricing separates capacity from additional gp3 IOPS and throughput, and charges io2 provisioned IOPS using volume-level tiers. Use the current rates for the selected region. For Nirvana, use the rate card and actual running hours. Normalize GB versus GiB and MB/s versus MiB/s before treating two capacities or performance settings as equal.
Build the estimate from six lines: compute; storage capacity; provisioned performance; replicas and backups; networking and attachments; operations and support. Add a one-time migration estimate separately. State discounts, commitments, taxes and exclusions. A storage-only illustration should remain labeled storage-only.
Test the workload before choosing a provider
- Define success. Set query or task p95/p99, throughput and recovery targets. Include correctness checks.
- Record the configuration. Capture CPU, memory, disk size, provisioned IOPS/throughput, engine versions, dataset, replicas and durability settings.
- Run realistic load. Separate cold and warm reads. Keep ingestion, compaction or checkpoint activity present when production has those competing operations.
- Inspect the limiting resource. Record CPU, memory pressure, queue depth, I/O size, device latency and instance/network limits alongside application timings.
- Exercise recovery. Interrupt a worker or node in a safe test environment, verify acknowledged data, and time the return to useful work.
- Compare cost at the achieved service target. The lowest unit price is useful only if that configuration meets the application requirement.
Frequently asked questions
Is higher IOPS always faster?
No. More available parallel I/O does not necessarily shorten a serial read dependency, fix a CPU bottleneck or improve a query served from memory. Test the application operation that matters.
Does gp3 run out of burst credits?
No. gp3 uses provisioned performance. gp2 has a credit-based burst model. Check the volume type before explaining a slowdown.
Can a benchmark prove equal durability?
No. Compare the published durability specification, replication and failure domains, backup design and recovery obligations separately. A successful performance run is not evidence of equivalent durability.
How long does a migration take?
It depends on data volume, transfer capacity, change rate, validation, cutover and rollback requirements. Rehearse it with representative data before committing to a window.
Evaluating ABS? Bring the workload configuration, latency target and current bill. Start with the pricing calculator, review the qualified storage results, and discuss a representative test.
