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
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
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.
Dimension | Cost/month | Overage cost |
|---|---|---|
VeloDB Contract Usage | $0.00 |
Dimension | Cost/unit |
|---|---|
VeloDB PAYG Usage | $0.002 |
Dimensions summary
This listing bills usage in two ways, both measured in VeloDB usage units. VeloDB PAYG Usage charges you on a pay-as-you-go basis, so you pay for what you consume with no upfront commitment. VeloDB Contract Usage draws down against a committed contract you agree to in advance. The two dimensions are not tiers or fixed instance sizes. Instead, they reflect how you commit to spend. Usage tracks the managed service consumption, including compute and storage that scale independently on demand. You can combine both, using the contract balance and paying overage as pay-as-you-go.
Top-of-mind questions for buyers
Usage units track the managed service you use, mainly compute measured per vCPU per hour, plus separate storage and cache consumption. Compute and storage scale independently on demand. Clusters share the same object storage but isolate their workloads, and each cluster scales on its own as your queries require.
Compute charges accrue while clusters run. The service supports auto-suspend, so idle clusters can pause to reduce compute cost. Storage still holds your full dataset in object storage and accrues separately, since data stays even when compute is suspended. Suspending compute stops the per-vCPU meter for that cluster.
You draw down against your committed contract balance first as you consume the service. Once the balance runs out, further consumption bills as VeloDB PAYG Usage at the pay-as-you-go rate. Both dimensions meter the same underlying units, so overage continues without interruption on the same invoice.
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