Side by side
Google Cloud Bigtable vs HPE Ezmeral Data Fabric
Both stand on wide-column databases. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free trial APIWeb
Bigtable combines a wide-column and key-value model with SQL querying, horizontal scaling, and multi-region deployment. Its trial has eligibility limits, and Google describes its capacity-based compute as a better fit for larger workloads.
Visit Google Cloud Bigtable Free plan APILinuxSelf-hosted+1
HPE Ezmeral Data Fabric offers a shared data layer with object storage, analytics integrations, and security controls. The community edition has substantial limits, while pricing is available on request.
Visit HPE Ezmeral Data FabricThe facts
| Google Cloud Bigtable | HPE Ezmeral Data Fabric | |
|---|---|---|
| Free plan | A free trial | Yes |
| Open source | Not published | Not published |
| Runs on | API, Web | API, Linux, Self-hosted, Web |
| Lowest paid plan | See the plans | Free or on request |
| Plans published | 10 | 1 |
| Maker | Not published | Not published |
| Website | cloud.google.com | developer.hpe.com |
| On wide-column databases | #10 of 22 | #6 of 22 |
Google Cloud Bigtable: what it does well
- Supports SQL queries with more than 200 functions.
- Instances can span up to eight regions.
- Includes automatic replication between clusters.
- Security controls include table-, column-, or row-level access.
What to know first
- No free plan is listed.
- Trial eligibility excludes some prior Google service users.
- Google says it may be less suited to small applications.
HPE Ezmeral Data Fabric: what it does well
- Combines files, object data, NoSQL databases, and streams.
- Supports transactions and strong consistency.
- Object store supports S3 API access and WORM compliance.
- Dynamic masking can hide designated JSON fields.
What to know first
- Community edition has no high availability.
- Community edition has limited nodes.
- Community edition includes no technical support.
- Community edition is not intended for production.
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