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HPE Nimble Storage vs Cloud Local Storage: What are the differences?
HPE Nimble Storage: A predictive flash storage technology. It is an intelligent, self-managing storage that frees you to innovate for your business; Cloud Local Storage: Serverless storage exposed via localStorage like API. Serverless storage exposed via simple, familiar API. Simply call getItem & setItem, passing a name and a value and your data is stored forever on cloud-local-storage.
HPE Nimble Storage and Cloud Local Storage belong to "Cloud Storage" category of the tech stack.
Some of the features offered by HPE Nimble Storage are:
- Power business-critical apps
- Deliver the cloud experience
- Power business-critical apps
On the other hand, Cloud Local Storage provides the following key features:
- Data on firebase servers
- SDK for Node and Web
- Forever Free
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What is Cloud Local Storage?
Serverless storage exposed via simple, familiar API. Simply call getItem & setItem, passing a name and a value and your data is stored forever on cloud-local-storage.
What is HPE Nimble Storage?
It is an intelligent, self-managing storage that frees you to innovate for your business.
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What companies use Cloud Local Storage?
What companies use HPE Nimble Storage?
What companies use Cloud Local Storage?
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What companies use HPE Nimble Storage?
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What tools integrate with Cloud Local Storage?
What tools integrate with HPE Nimble Storage?
What tools integrate with Cloud Local Storage?
What tools integrate with HPE Nimble Storage?
What are some alternatives to Cloud Local Storage and HPE Nimble Storage?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web