Google Cloud Bigtable vs restdb.io: What are the differences?
Developers describe Google Cloud Bigtable as "The same database that powers Google Search, Gmail and Analytics". Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail. On the other hand, restdb.io is detailed as "A plug and play database service for the web and beyond". RestDB is a NoSql document oriented database cloud service. Data is accessed as JSON objects via HTTPS. This gives great flexibility, easy system integration and future compatibility.
Google Cloud Bigtable and restdb.io can be primarily classified as "NoSQL Database as a Service" tools.
Some of the features offered by Google Cloud Bigtable are:
- Unmatched Performance: Single-digit millisecond latency and over 2X the performance per dollar of unmanaged NoSQL alternatives.
- Open Source Interface: Because Cloud Bigtable is accessed through the HBase API, it is natively integrated with much of the existing big data and Hadoop ecosystem and supports Google’s big data products. Additionally, data can be imported from or exported to existing HBase clusters through simple bulk ingestion tools using industry-standard formats.
- Low Cost: By providing a fully managed service and exceptional efficiency, Cloud Bigtable’s total cost of ownership is less than half the cost of its direct competition.
On the other hand, restdb.io provides the following key features:
- NoSQL + Schema + API
- Rich Data Types, Relations and Hierarchy
- Data Management and Collaboration web app