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    VeloDB Cloud

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    Deployed on AWS
    VeloDB Cloud is a cloud native real-time and cost-effective data warehouse service, supporting both SaaS and BYOC (Bring Your Own Cloud), based on the open resource database Apache Doris, running on multiple clouds with consistent usage experience. Up to now, VeloDB Cloud has been applied in the production environment of many enterprises, helping customers satisfy the needs of various data analysis scenarios with minimal operation and maintenance investment.

    Overview

    VeloDB Cloud is a cloud native real-time and cost-effective data warehouse service, supporting both SaaS and BYOC (Bring Your Own Cloud), based on the open resource database Apache Doris, running on multiple clouds with consistent usage experience. It only needs sub second response time to return query results from massive data. It can not only support point query scenarios with high concurrency, but also complex analysis scenarios with high throughput. Based on this, VeloDB Cloud can be well applied in many business fields, such as multi-dimensional reports, ad hoc queries, user profiles and behavior analysis, log analysis, query acceleration of data lakes, and real-time large screens.

    VeloDB Cloud has the following advantages and values:

    High-performance Relying on the implementation of column storage engine, modern MPP architecture, vectorized query engine, pre-aggregated material view, data index and query optimizer, it has achieved extreme performance in high concurrency, low latency and high throughput queries.

    Cost-effective Through deep adaptation with cloud computing infrastructure and relying on the leading storage and computing separation architecture design, it satisfies the elastic scalability needs of computing resources and storage resources, providing a very high cost performance.

    Single unified A single system can support real-time data service, interactive data analysis and offline data processing scenarios at the same time; It supports not only the storage and analysis of structured data, but also the storage and analysis of semi-structured and log data; It also supports federated queries on Hive, Iceberg, Hudi and other data lakes as well as MySQL, Elasticsearch and other databases.

    Easy to use No need to install and deploy, one click to create a cluster; Simple operation and maintenance management without complex parameter setting; Compatible with MySQL protocol, using standard SQL syntax; A variety of data import methods facilitate rapid data warehousing.

    Safe and reliable In terms of data security, it provides complete authority control, data encryption and backup recovery mechanisms; In terms of operation and maintenance management, it provides comprehensive and observable metrics collection and visual management of data warehouse service; In terms of technical support, it has a complete ticketing management system and remote assistance platform, and provides expert support services at various levels.

    Highlights

    • Cloud Native: VeloDB Cloud was designed and built based on the cloud environment architecture from the beginning. It supports elastic capabilities such as storage and computing separation, hot and cold data layering, and on-demand capacity expansion and contraction. It can flexibly satisfy the needs of customers' businesses of different scales in different periods.
    • Multi Clouds: VeloDB Cloud runs on multiple clouds and provides real-time and cost-effective data warehouse service with consistent usage experience. Up to now, VeloDB Cloud has been launched on top 5 cloud platforms including AWS.
    • Open: VeloDB is built based on the open resource database Apache Doris and is fully compatible with it. VeloDB Cloud provides efficient data migration tools between VeloDB and Apache Doris, ensuring that enterprises can switch between VeloDB Cloud service and Apache Doris built independently at any time.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    VeloDB Cloud

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    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.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (1)

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    Dimension
    Cost/unit
    VeloDB Cloud Usage
    $0.002

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Customer support services e-mail : support@velodb.io 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Accolades

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    Top
    25
    In Data Warehouses
    Top
    10
    In Data Warehouses
    Top
    10
    In Analytic Platforms, Databases & Analytics Platforms, Databases

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
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    Overview

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    AI generated from product descriptions
    Database Architecture
    Cloud-native data warehouse service with storage and computing separation architecture
    Query Performance
    Sub-second response time with vectorized query engine and modern MPP architecture
    Data Compatibility
    Supports structured, semi-structured, and log data with federated query capabilities across multiple data sources
    Open Source Foundation
    Built on Apache Doris open-source database with full compatibility and migration tools
    Security Mechanisms
    Provides comprehensive authority control, data encryption, and backup recovery mechanisms
    Data Lake Query Performance
    Provides sub-second query response times using SQL query service on data lake platforms
    Open Standards Support
    Utilizes community-driven standards like Apache Iceberg and Apache Arrow for processing engines
    Multi-Source Data Integration
    Enables joining data from data lakes and external databases without data movement
    Compute Engine Management
    Automatically handles compute engine lifecycle including provisioning, scaling, pausing, and decommissioning
    VPC-Based Data Processing
    Deploys compute engines within customer's Amazon Virtual Private Cloud for secure data processing
    Distributed Database Architecture
    Fully managed, distributed SQL database supporting transactional and analytical workloads in a single engine
    Vector Search Capabilities
    Integrated vector search functionality with indexed search for AI applications and generative AI use cases
    High-Performance Data Ingestion
    Ability to ingest millions of events per second using parallel, distributed lock-free pipelines
    Concurrent Query Processing
    Supports scaling access to tens or hundreds of thousands of concurrent users with super-low latency queries
    Cloud-Native Infrastructure
    Built on a modern, lock-free cloud-native architecture enabling elastic scalability and high-performance data processing

    Contract

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    Standard contract
    No
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