Wasabi is suitable for accessing files quickly and cost-effectively on-demand as long as you upload more than download. For intermittent file retrieval needs, it offers a reliable platform for efficient data access.
Wasabi is suitable for accessing files quickly and cost-effectively on-demand as long as you upload more than download. For intermittent file retrieval needs, it offers a reliable platform for efficient data access.
Wasabi provides a cost-effective solution for cases where certain files need to be accessed swiftly, but only occasionally. Its robust architecture and competitive pricing make it suitable for businesses that require occasional, high-speed data access without consistent, heavy usage. This flexibility allows businesses to efficiently manage their storage costs while ensuring rapid data retrieval when needed.
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This use case focuses on customer-facing sites that deliver content consisting of text, graphics, and searches without heavy upload and storage requirements. These sites deliver most content "hot" using a CDN and a database across multiple regions. Archival storage is primarily for historical purposes, and some logging data is stored.
This use case is for data analysis-heavy companies with a SaaS-like implementation or tightly integrated machine learning. Raw or processed data files are stored for ETL and ML pipeline analysis. Storage serves as a data store with well-organized files, often using columnar structures like parquet.
This use case involves heavy data analysis within a SaaS-like implementation or extensive offline and ad-hoc data science. Large, well-organized files are stored in a data lake or different database platform for analysis. Archiving older data is necessary, and the platform usually runs in a single region. Data uploads are large and require multiple upload streams.
This use case is for a process-oriented platform receiving real-time data for display or analysis. Real-time files are typically event streams managed through pipelines like Kafka with ETL. Storage is transactional, with an abstraction layer pushing data to other repositories as needed.
This use case involves a text-heavy SaaS service, providing documents and data to end-users. Storage is used as a data store, archive, or for housing state data. Databases are used for customer or service data storage, and multi-region setups are uncommon.
This use case involves a SaaS service offering graphics-heavy content like catalogs, documents, and image previews. It relies on an API-driven service to manipulate materials rather than display them. A CDN, a database, and minimal archival storage are used, with most content being "hot." The setup is typically multi-region, with storage embedded in serverless technologies and a sizable CDN bill accompanying storage.
This use case pertains to companies producing code for 3rd parties or in a pure R&D context. Storage is integral to the development process, but stored data levels are moderate. Flexible data access is essential for running tests or stress-testing the system.
We’ve listed the products and solutions that are commonly to Wasabi below.
Backblaze B2 is a compelling choice for frequent or partially-frequent accessed storage that doesn't need to be too deeply connected with services native to other cloud platforms, like AWS.
Digital Ocean Spaces is an S3-compatible object storage service with a built-in CDN. It provides easy, reliable, and cost-effective solutions for storing and delivering vast amounts of content.
Storj DCS offers affordable storage with exceptional data redundancy owing to a decentralized network of storage node operators. It stands out for its default security, considered superior to other providers.
Cloudflare R2 is S3-compatible, comes with an affordable single-tier pricing tier for storage, has free egress, inexpensive read/write operations, and is natively georedundant.
OCI Object Storage is suitable for large file use cases within the OCI ecosystem. It provides robust storage solutions for organizations working with substantial file sizes.
Google Cloud Storage is good for use cases that require multi-region capabilities thanks to specific "multi-region" regions that are cheaper to use than duplicating storage.
Azure Blob Storage is most suitable for use cases where you are in the Azure or Microsoft-file (MBCS) ecosystem and also does well with large file sizes.
IBM Cloud Object Storage is an ideal choice for transferring large files and integrating with other IBM Cloud services. Certain regions in IBM Cloud offer cost-effective multi-region options, eliminating the need for duplicating storage.
Amazon S3 is a scalable object storage service known for industry-leading performance, data availability, and storage scalability. It caters to diverse use cases and offers reliable cloud storage.
Compare products in Object Storage head-to-head across various criteria such as price, features, user interface, support, ect.