VeloDB Cloud (Pay As You Go)

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, 700+ contributors, and a vibrant open-source community. VeloDB contributes 1 PMC Chair, 9 PMC members, and 26 committers to the Apache Doris project, ensuring deep alignment between the commercial service and the open-source engine. VeloDB Cloud is fully compatible with Apache Doris, ensuring seamless migration and zero vendor lock-in between VeloDB Cloud and self-managed Apache Doris deployments.

Real-Time OLAP Analytics at Any Scale VeloDB Cloud leverages Apache Doris's columnar storage, MPP (Massively Parallel Processing) distributed architecture, and advanced vectorized execution engine to deliver industry-leading query performance.

• Sub-second query performance on petabyte-scale datasets using Apache Doris's vectorized execution engine and cost-based optimizer
• Real-time data ingestion with second-level freshness via high-throughput streaming ingestion, CDC (Change Data Capture), and micro-batch loading
• High concurrency supporting thousands of simultaneous queries for customer-facing analytics, embedded BI, and operational dashboards
• Materialized views for intelligent query acceleration - up to 42x faster queries with 98% reduction in scan size

Unified Engine - Replace Multiple Databases with One VeloDB Cloud consolidates the capabilities of multiple specialized systems into a single analytical database:

• OLAP data warehouse - replace ClickHouse, Druid, or Kylin for real-time reporting and interactive analytics
• Search and log analytics - replace Elasticsearch for observability (logs, traces, metrics) with 10x cost efficiency, 5x ingestion throughput, and 80% storage reduction with inverted index and 10:1 compression
• Lakehouse analytics - query Apache Iceberg, Apache Hudi, Delta Lake, and Apache Paimon directly with 3x faster performance than Trino/Presto, or accelerate with VeloDB internal tables for 10x improvement
• Federated queries - connect to MySQL, PostgreSQL, Oracle, SQL Server, and object storage (S3, GCS) via multi-catalog support

AI-Ready: Hybrid Search, Vector Search, and MCP Support Apache Doris natively integrates vector search, full-text search, and structured SQL analytics within a single columnar storage layer - enabling Hybrid Search and Analytics Processing (HSAP) for Generative AI, RAG (Retrieval-Augmented Generation), and agentic AI applications.

• Hybrid Search - combine vector similarity search, BM25 full-text search, and structured SQL filters in a single query for superior retrieval accuracy in RAG pipelines
• Vector search indexes - native approximate nearest neighbor (ANN) indexing for embedding-based semantic search at petabyte scale
• AI SQL functions - built-in LLM operators (summarize, classify, extract, translate, sentiment analysis) directly in SQL for AI-augmented analytics
• MCP (Model Context Protocol) support - connect AI agents directly to VeloDB via the Doris MCP Server for real-time data discovery, schema understanding, and query execution, enabling agentic AI applications with live analytical context
• AI observability - purpose-built for monitoring LLM systems with support for OpenTelemetry, Langfuse, and OpenLLMetry integration

Cloud-Native Architecture with Flexible Deployment

• Fully Managed SaaS: Zero-ops, fully managed experience with auto-scaling compute and storage
• BYOC (Bring Your Own Cloud): Data stays in your own AWS VPC for full data sovereignty and security compliance / Leverage your existing AWS Reserved Instances and Savings Plans
• Enterprise Software (Self-Managed): Deploy Apache Doris on EC2, EKS, or bare metal with VeloDB enterprise features, commercial support, and SLA guarantees

Cost-Effective at Scale

• Tiered storage - automatically tier data across NVMe cache, EBS, and S3 to optimize cost-per-query
• 10:1 compression ratio - columnar storage with advanced encoding reduces storage costs by up to 80%
• ARM processor support - run on AWS Graviton instances for up to 40% better price-performance
• Auto-scaling - elastically scale compute up and down based on workload demand

Production-Proven Across Industries VeloDB Cloud and Apache Doris power real-time analytics for thousands of production deployments across:

• Financial Services - real-time risk analytics, fraud detection, regulatory reporting
• E-Commerce & Retail - user behavior analytics, real-time recommendations, inventory dashboards
• Web3 & Fintech - on-chain analytics, trading dashboards, token analytics for millions of users
• Observability & DevOps - log analytics, distributed tracing, metrics monitoring at 10x lower cost than Elasticsearch
• IoT & Manufacturing - sensor data analytics, predictive maintenance, operational intelligence
• Generative AI - RAG pipelines, hybrid search, AI agent data backends, LLM observability