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    VeloDB Cloud (Committed Contract)

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    Sold by: VeloDB Inc 
    Deployed on AWS
    VeloDB Cloud: The Real-Time Analytical Database Built for Analytics and AI. VeloDB Cloud is the fully managed, cloud-native real-time analytical database powered by Apache Doris - the fastest open-source OLAP engine trusted by 5,000+ enterprises worldwide. Deliver sub-second analytics, hybrid search, and AI-ready data infrastructure from a single unified platform. Note: The public offer supports only Pay-As-You-Go (PAYG) subscriptions. If you prefer a discounted contract, please request a private offer.

    Overview

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    Founded by the original creators of Apache Doris, VeloDB is the leading commercial distribution and managed service for the Apache Doris ecosystem. Apache Doris is a top-level Apache Software Foundation project with 14,000+ GitHub stars and 700+ contributors. VeloDB Cloud is 100% compatible with Apache Doris, so migration is seamless with zero vendor lock-in. Pay only for what you use, billed hourly across SaaS, BYOC, and Enterprise plans. Free trial available. See full pricing and the cost estimator at https://www.velodb.io/pricing .

    One engine for real-time analytics at any scale VeloDB Cloud combines columnar storage, MPP (Massively Parallel Processing) architecture, and a vectorized execution engine to deliver:

    • Sub-second queries on petabyte-scale data, with a cost-based optimizer and materialized views (up to 42x faster queries, 98% less data scanned)
    • Real-time ingestion with second-level freshness via streaming, CDC (Change Data Capture), and micro-batch loading
    • High concurrency for thousands of simultaneous queries powering customer-facing analytics and embedded BI

    Replace multiple systems with one

    • OLAP analytics: a faster, simpler alternative to ClickHouse, Druid, and Kylin
    • Log and search analytics: replace Elasticsearch for observability at up to 10x lower cost, 5x ingestion throughput, and 80% storage savings
    • Lakehouse: query Apache Iceberg, Hudi, Delta Lake, and Paimon directly (3x faster than Trino/Presto), or accelerate with internal tables
    • Federated queries across MySQL, PostgreSQL, Oracle, SQL Server, and object storage (S3, GCS)

    AI-ready: hybrid search, vector search, and MCP Apache Doris natively unifies vector search, full-text search, and SQL analytics in a single storage layer for Generative AI and RAG workloads:

    • Hybrid Search: combine vector similarity, BM25 full-text, and SQL filters in one query for higher retrieval accuracy
    • Native vector indexes for embedding-based semantic search at scale
    • AI SQL functions (summarize, classify, extract, translate, sentiment) built directly into SQL
    • MCP (Model Context Protocol) support to connect AI agents to live analytical data
    • AI observability via OpenTelemetry, Langfuse, and OpenLLMetry

    Flexible deployment

    • Fully Managed SaaS: zero-ops with auto-scaling compute and storage
    • BYOC (Bring Your Own Cloud): data stays in your own AWS VPC for full sovereignty; reuse your Reserved Instances and Savings Plans
    • Enterprise (Self-Managed): run on EC2, EKS, or bare metal with commercial support and SLAs

    Tiered storage (NVMe, EBS, S3), 10:1 compression, and AWS Graviton/ARM support deliver up to 40% better price-performance. Production-proven across financial services, e-commerce, Web3/fintech, observability, IoT, and Generative AI.

    Highlights

    • 1) Real-time analytical database powered by Apache Doris with sub-second query latency on petabyte-scale data; 2) AI-ready with native hybrid search (vector + full-text + SQL), MCP protocol support, and built-in AI SQL functions for RAG and agentic AI.
    • 1) Unified OLAP engine replacing ClickHouse, Elasticsearch, and Trino - 10x cost reduction for log analytics, 3x faster lakehouse queries; 2) Cloud-native with storage-compute separation, tiered storage, auto-scaling, and AWS Graviton support.
    • 1) Fully compatible with Apache Doris - zero vendor lock-in with bidirectional migration between managed and self-managed deployments; 2) Flexible deployment: Fully Managed SaaS, BYOC (data in your VPC), or Enterprise Self-Managed on AWS.

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    Pricing

    VeloDB Cloud (Committed Contract)

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (1)

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    Dimension
    Cost/month
    Overage cost
    VeloDB Contract Usage
    $0.00

    Additional usage costs (1)

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    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Cost/unit
    VeloDB PAYG Usage
    $0.002

    Vendor refund policy

    Please see seller website for refund details.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Customer Support Services E-mail: support@velodb.io  Ticketing System:

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