VeloDB
by VeloDB
VeloDB is a real-time analytics and search database powered by Apache Doris, with sub-second queries, vector search and open table format support.
About
VeloDB is a real-time analytics and search database powered by Apache Doris, with sub-second queries, vector search and open table format support.
VeloDB is a unified real-time database for analytics, powered by Apache Doris. It delivers sub-second latency under high concurrency, heavy updates and complex joins, and handles structured tables, semi-structured JSON, full-text search and vector embeddings with standard SQL.
It is built to be cost efficient with built-in caching, materialized views, separated storage and compute, columnar compression and tiered object storage. It stays open by being compatible with Apache Doris and the MySQL wire protocol, and with Iceberg, Hudi and Delta table formats. It deploys on AWS, Google Cloud, Azure, Kubernetes and on premises, with a free trial offered.
Key features
Product details
Vendor
VeloDB
Category
Big Data Analytics
Starting price
Contact for pricing
Free trial
Yes
Deployment
AWS, Google Cloud, Microsoft Azure, Kubernetes and on-premises
Pricing
Similar software
Amazon EMR
by Amazon Web Services
Amazon EMR is a managed cloud big data platform for running Apache Spark, Hive and Presto workloads on EC2, EKS, Outposts or serverless.
Amazon Redshift
by Amazon Web Services
Amazon Redshift is a petabyte-scale cloud data warehouse from AWS with provisioned and serverless options and zero-ETL integrations.
Apache Spark
by Apache Software Foundation
Open source multi language engine for data engineering, data science and machine learning, running batch and streaming workloads on single machines or clusters.
Azure Databricks
by Microsoft
Collaborative analytics platform integrated with Azure services for simplified data processing and analytics. Supports both technical and non-technical users in a unified environment.
Azure Synapse Analytics
by Microsoft
Comprehensive analytics platform integrating data services for efficient data management and scalable analytics. Provides unified workspace for big data and data warehousing workloads.
BigQuery
by Google Cloud
AI-ready, petabyte-scale, serverless data warehouse for fast analytics over vast datasets. Seamlessly integrates with Google Cloud tools for efficient data analysis.
