Start here for the decision-making essentials: what Apache Doris does, who it is for, how it is accessed, and the first-party sources behind this profile.
PricingCurrent signal
See official pricing
Platforms
Web
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProprietary
Official site snapshots
See the official site at a glance
Read-only public captures of Apache Doris’s homepage. Screenshots are dated, never live embeds, and open full-screen.
Short answers to the questions buyers and builders commonly ask about Apache Doris. Each answer cites the shared ledger below, where every source is listed once.
This profile connects the jobs Apache Doris is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
Official website
HTTP 200 verified
Official page title
Apache Doris: Open Source, Real-Time Analytics and Search Database for the AI Era - Apache Doris
Practical capabilities
What it helps with
1 documented areas
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Focus area
Vector databases
Availability
Where it runs and where to get it
Source checked
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
See official pricing
Platforms
Web
Implementation details
Adoption notes
DeploymentWeb
LicenseProprietary
Model supportProvider-managed unless documented otherwise
Data controlReview the provider's current privacy, retention and subprocessors documentation before adoption
Learning curveBeginner
Primary use cases
What to verify before adopting
Confirm current pricing, quotas and feature availability with the provider.
Test output quality and reliability against your own workflow before committing.
Review privacy, security and contractual requirements for sensitive data.
Evolution and major updates
Apache Doris timeline
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Research in progress
Scheduled for research
Building a reliable release history.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Dated event Short explanation Original source
Citation ledger
Recorded sources
1 unique page
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
1doris.apache.org 2 facts · 3 answers · 1 snapshot source · Official site
These tools share a workflow, capability or audience with Apache Doris. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Vector databases · ToolNebulaGraphNebulaGraph transforms complex relationships in your data into real-time, actionable insights, providing the native graph foundation for critical AI use cases.Also mapped to Vector databases
Vector databases · ToolObjectBoxObjectBox is the first on-device vector database with a sub-1MB footprint, offering ACID-compliant NoSQL storage and bi-directional offline-first Data Sync for mobile, IoT, and embedded applications across major platforms.Also mapped to Vector databases
Vector databases · ToolSuperlinkedSuperlinked builds SIE, an open-source Apache 2.0 Kubernetes inference engine that runs 100+ models behind one API on shared GPUs. It offers dense, sparse, and multi-vector embeddings, reranking, extraction, and generation, with LangChain, LlamaIndex, and vector database integrations.Also mapped to Vector databases
Vector databases · ToolTiDBTiDB is an open-source distributed SQL database by PingCAP that unifies transactional, analytical, and vector workloads in one engine with MySQL compatibility, ACID guarantees, and elastic scale.Also mapped to Vector databases
