Sold by: RapidsDB
Base on RapidsDB in-memory data processing engine. It can execute queries requiring multi-table joins at lightning speed. It is compatible with MySQL protocol. Based on an elastic and scalable microservice architecture with computing resource isolation, RapidsDB provides a powerful big data analytics engine!
Overview
With the advent of Big Data and Cloud Computing era, the amount of data that users need to process is growing exponentially. Disk-based traditional data warehouses are often restrained by disk read and write speeds, which can lead to key pain points, such as limited data storage capacity, inexecutable queries, challenging scalability and unfriendly Cloud operating environments.
RapidsDB Cloud Data Warehouse is built on the new generation of in-memory database technology independently developed by RapidsDB team. It provides cloud-native data warehouse services to users with super-high performance, high scalability, heterogenous data querying capability across multiple data sources and easy-to-use simplicity, meeting data warehouse database requirements of various use cases in the era of big data and cloud computing.
Financial Inclusion of a Bank The original system uses international commercial database products + distributed search analysis engine, which has the following shortcomings:
- Does not support fuzzy queries on text fields in large data tables
- Does not support free combination query in more than 200 fields of customer label table
- It is not compatible with standard SQL statements and does not support multi-table association queries, so the learning cost is high and the efficiency is low
RapidsDB brings to users
- Low latency: five-table joint query analysis second-level response
- Universal: Compatible with SQL statements, supports Asia Pacific character-set keywords in query
- High concurrency: 800 concurrent queries respond in seconds, and performance increases linearly with cluster expansionWith the advent of Big Data and Cloud Computing era, the amount of data that users need to process is growing exponentially. Disk-based traditional data warehouses are often restrained by disk read and write speeds, which can lead to key pain points, such as limited data storage capacity, inexecutable queries, challenging scalability and unfriendly Cloud operating environments.
Highlights
- Distributed, MPP, shared-nothing memory database
- MySQL protocol compatible
- Multi-table-join query execution at lightning speed
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/month |
|---|---|---|
Demo Cluster1 | Use 1 demo node in US West (Oregon) (us-west-2) | $580.00 |
Demo Cluster2 | Use 3 demo nodes in US West (Oregon) (us-west-2) | $760.00 |
Demo Cluster3 | Use 5 demo nodes in US West (Oregon) (us-west-2) | $940.00 |
Dimensions summary
This listing offers three demo cluster options, all hosted in the US West (Oregon) region. The dimensions differ only by node count: one demo node, three demo nodes, or five demo nodes. Each option runs on the cloud-native, distributed architecture where nodes form a cluster for your use. Pricing scales with the number of nodes you select, so you choose the cluster size that fits your evaluation needs. All three are demo configurations meant for testing the data warehouse before wider deployment.
Top-of-mind questions for buyers
A node is a single member server in the resource pool that forms your cluster. The Management Server allocates approved nodes to build a cluster for your use. Demo Cluster1 gives you one node, Demo Cluster2 gives three, and Demo Cluster3 gives five, all in US West (Oregon).
Each option differs only by node count: one, three, or five nodes. The distributed architecture spreads query work across nodes in parallel. More nodes let you evaluate how the system scales horizontally and handles larger data volumes. Fewer nodes suit a lighter evaluation. All run the same in-memory engine.
No. All three are demo configurations for testing the data warehouse before wider deployment. They let you evaluate the distributed in-memory engine and query performance. For production use with elastic expansion, you would move beyond these demo options. Contact the vendor for production deployment details.
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