VeloDB Cloud (Committed Contract)
VeloDB Inc · Logistics & Supply Chain
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
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.
Show the rest of the publisher’s description (22 more lines)
**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
Highlighted by the publisher on AWS Marketplace.
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.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
Please see seller website for refund details.
Sources
Publisher resources
6 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

