Consolidate cloud data with fast, affordable, Amazon S3–compatible storage. Store massive volumes of unstructured data, serve content globally, and integrate seamlessly with existing tools using S3-compatible APIs.
Akamai introduced new endpoint types (E0–E3) to clearly indicate the performance and capacity available at each location.
Endpoint limits per bucket: - E0: 750 RPS, 1 TB, 50 million objects - E1: 2,000 RPS, 1 PB, 100 million objects - E2: 5,000 RPS, 5 PB, 100 million objects - E3: 20,000 RPS, 5 PB, 10 billion objects
Recent upgrades delivered a 4x improvement in data workload performance and a 10x increase in capacity, with rollouts continuing across more locations.
Object storage organizes data as discrete objects with rich metadata and universal IDs. This makes it ideal for: - Large-scale log and event ingestion, indexing, and search with tools like Elasticsearch and Quickwit. - Columnar and table-based analytics using open table formats such as Apache Iceberg. - Decoupled storage/compute architectures for training datasets and feature stores.
Key criteria to evaluate: - API compatibility and ecosystem: S3 compatibility, SDK/tool support, and partner integrations. - Per-bucket scalability: RPS ceilings, max capacity, and object counts to avoid re-architecting for sharding. - Performance consistency: request concurrency and throughput at scale. - Global availability and latency: regions close to users and edge distribution options. - Durability and availability design: erasure coding and multi-node resilience strategies. - Observability and governance: metrics, audit trails, access control, and lifecycle policies. - Cost predictability: transparent storage, request, and egress pricing with no surprises at scale.
With Akamai: - Up to 20,000 RPS and 5 PB per bucket minimizes the need to split data across many buckets. - Flat pricing across endpoint tiers helps keep storage costs predictable as you scale. - Tight integration with CDN and edge services supports global low-latency delivery.
Akamai vs AWS for scalable performance and durability
- Akamai provides high per-bucket limits (up to 20,000 RPS, 5 PB, and 10B objects) and flat endpoint-tier pricing to simplify scale planning.
- As you compare, weigh AWS’s broad native service ecosystem against Akamai’s content-first global edge and media delivery integration. Evaluate per-bucket performance ceilings, origin-to-CDN efficiency, and pricing predictability for your traffic patterns.
Akamai vs Google Cloud for scalable performance and durability
- Consider Akamai’s per-bucket headroom and globally distributed delivery platform when assessing high-throughput content and edge-heavy workloads.
- Compare region coverage that matters to your users, per-bucket concurrency limits, and end-to-end delivery performance.
Akamai vs Azure for scalable performance and durability
- If you run content-rich apps or worldwide download/media use cases, Akamai’s storage paired with its CDN can reduce latency and simplify origin management.
- When benchmarking, look at request concurrency at bucket level, lifecycle management needs, access controls, and the total cost profile.
Akamai vs AWS for analytics and ML pipelines
- Akamai’s S3 compatibility and focus on logging, observability, indexing, and Iceberg-based analytics support cloud-native pipelines without retooling.
- Compare data ingestion throughput, per-bucket limits, and cost transparency as your datasets and request rates grow.
Akamai vs Google Cloud for analytics and ML pipelines
- Evaluate Akamai’s high request rates and bucket scale for log ingestion, time-series indexing, and ML dataset storage, alongside its cost model.
- Balance this with any specialized analytics services you plan to use in Google Cloud.
Akamai advantages for teams considering Cloudflare R2
- If your priorities include very high request rates per bucket, multi-petabyte buckets, and integrated global delivery, Akamai offers:
- Up to 20,000 RPS per bucket and 5 PB capacity.
- 10 billion objects per bucket at the highest endpoint tier.
- Native alignment with Akamai CDN, edge applications, and media delivery workflows for global scale.
Note: For all comparisons, validate region availability, limits, and pricing for your specific workloads and geographies.
What is object storage?
Object storage keeps data as self-contained objects (data + metadata + ID) rather than files or blocks. It’s well-suited for media, logs, backups, analytics datasets, and AI training data.
How does Akamai achieve durability and availability?
Akamai uses data protection techniques such as erasure coding and distributes data across multiple nodes within a cluster to keep objects accessible even during component failures.
Can Akamai Object Storage serve as a CDN origin?
Yes. For high-traffic scenarios, pairing Object Storage with Akamai Cloud Wrapper and Akamai CDN improves cache efficiency and reduces origin load.
Where can I see available regions and limits?
See the latest details on the Object Storage product limits page.