Facilitate ETL and ML pipeline analysis with organized storage.
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.
We’ve listed the products and solutions that commonly address the Data Analysis-Heavy with Integrated Machine Learning use case below.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Customize these feature priorities in Taloflow and get expert ratings for 15 different vendors and solutions, including None.
| Feature | Dimensions | Description | Priority |
|---|---|---|---|
| Amazon Athena |
|
Support available for integrating with Amazon Athena. | Critical |
| Amazon Redshift |
|
Support available for integrating with Amazon RedShift. | Critical |
| Apache Spark |
|
Support available for integrating with Apache Spark. | Critical |
| Azure Synapse Analytics |
|
Support available for integrating with Azure Synapse Analytics. | Critical |
| Google BigQuery |
|
Support available for integrating with Google BigQuery. | Critical |
| Snowflake |
|
Support available for integrating with Snowflake. | Critical |
| CCPA |
|
Privacy law for California residents allowing for "opt-out" from data collection. | Important |
| GDPR |
|
Regulation on data protection and privacy of the data tied to citizens and residents of EU countries. | Important |
| ISO 27001 |
|
Standard for information security management systems. | Important |
| Identity and Access Management (IAM) |
|
IAM is a standard for securely controlling access to resources on the cloud. | Important |
| Multi-zone Regions |
|
Some of the available regions have multiple availability zones (AZs) to replicate data within. | Important |
| Parquet Compatibility |
|
Rather than using row-based data like what you would typically find in a CSV or JSON, Parquet is an open-source framework for efficient flat columnar data formats. | Important |
| S3 Compatible API |
|
It supports some of the standard capabilities that are native to Amazon S3. | Important |
| Detailed Logging |
|
It keeps a log or trail of changes with sufficient detail for troubleshooting purposes. | Nice To Have |
| Life Cycle Management |
|
Lifecycle management allows you to set rules to manage your objects a certain way. | Nice To Have |
| Multi-region Redundancy Setting |
|
Easy mechanisms in place to replicate data across multiple regions. | Nice To Have |
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