Kasma Flavius
Sold by: Kasma
Flavius is a cloud-native, scalable, and cost-optimized graph database.
Overview
Flavius is a cloud-native, scalable, and cost-optimized graph database. It seamlessly connects diverse enterprise data and draws actionable insights from large-scale, complex graph relationships. For more information, see: https://flavius-docs.kasma.ai
Highlights
- Lake Warehouse and MPP architecture: A massively parallel processing (MPP) engine runs directly on object storage (S3, GCS, MinIO, etc.). Supports unlimited storage expansion and decouples compute and storage.
- High-speed querying: Use the power of parallel processing and vectorized execution to execute complex graph traversal and analysis queries extremely fast.
- Unified query and calculation engine: supports simple searches, analytical queries, and complex graph algorithms (such as PageRank or community detection) in one system. This integrated approach avoids the need for additional data processing and expensive, time-consuming ETL processes.
Details
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Delivery method
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64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2023
Pricing
Kasma Flavius
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
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Dimension | Cost/hour |
|---|---|
r5.8xlarge Recommended | CN¥12.00 |
r5.16xlarge | CN¥24.00 |
r5.12xlarge | CN¥18.00 |
r5.24xlarge | CN¥36.00 |
r5.4xlarge | CN¥6.00 |
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Usage information
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Remove redundant log output and optimize storage node thread pool implementation
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Customer service support email contact@kasma.ai
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