PhoenixAI
PhoenixAI (formerly CelerData) is a venture-backed analytical database vendor that delivers sub-second SQL on live enterprise data for autonomous AI agents and real-time analytics. Built on open-source StarRocks, it serves enterprises across crypto, martech, HR tech, and sports commerce via managed cloud and BYOC deployments.
- Company typePrivate
- Founded2019
- HeadquartersMenlo Park, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What PhoenixAI does
PhoenixAI (formerly CelerData) is a venture-backed analytical database company headquartered in Menlo Park, California, that builds an AI-native database on the open-source StarRocks project. The platform is engineered for real-time query workloads generated by autonomous AI agents and operational applications, using vectorized execution and columnar storage to deliver sub-second SQL latency at scale (documented at 573 billion+ rows in production and 10,000+ concurrent queries per second). PhoenixAI ingests streaming data from Apache Kafka, Flink, and Spark in under five seconds, queries Apache Iceberg and Delta Lake lakehouse tables in place, and exposes ANSI SQL via MySQL wire protocol, JDBC/ODBC, and Model Context Protocol (MCP) for AI agent connectivity.
The product is delivered as PhoenixAI Cloud (fully managed SaaS) or self-hosted Bring-Your-Own-Cloud (BYOC) on AWS, Azure, or GCP, with a 30-day free trial feeding a hybrid enterprise sales-led and product-led growth motion. Customers span crypto (Coinbase), social (Pinterest), travel (Expedia), martech (Demandbase), HR tech (Eightfold), process mining (Celonis), sports commerce (Fanatics, 6 PB migrated with 90% cost reduction), mobile gaming (AppLovin), and SEO/content (Conductor). The company is SOC 2 Type II certified, with database-native fine-grained access controls, row-level security, audit logging, and data masking aimed at regulated industries including finance, healthcare, manufacturing, energy, telecom, logistics, retail, and public sector.
PhoenixAI monetizes via subscription-based pricing on both managed cloud and self-hosted deployments, with public pricing tiered by scale but specific prices undisclosed. In June 2026 the company closed an $80 million Series B led by Sky9 Capital with Atypical Ventures and Olive Technology Ventures, explicitly to fund AI agent database development, go-to-market expansion, and enhanced governance capabilities. Headcount is in the 51-100 range, and the corporate entity is PhoenixAI, Inc., a US-incorporated private company with no parent, no public ticker, and no M&A activity disclosed.
PhoenixAI firmographics
Firmographics- Name
- PhoenixAI
- Legal name
- PhoenixAI, Inc.
- Website
- https://celerdata.com
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- PhoenixAI (formerly CelerData) is a venture-backed analytical database vendor that delivers sub-second SQL on live enterprise data for autonomous AI agents and real-time analytics. Built on open-source StarRocks, it serves enterprises across crypto, martech, HR tech, and sports commerce via managed cloud and BYOC deployments.
- Ownership category
- akta.pro rank
PhoenixAI industry classification
Industry- Product category
- Real-Time Analytical Database Software
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Lakehouse Platforms (HDAEABAB)
- akta.pro secondary industries
- Query Engines & SQL Analytics Layers for Warehouses/Lakes (HDAEABAI), Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL), Data & Analytics Platforms (Data Warehousing, Lakes, Streaming) (HDABAAAF)
Keywords
Where PhoenixAI is headquartered
LocationHeadquarters
- HQ city
- Menlo Park
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
PhoenixAI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- PhoenixAI Cloud: Fully managed cloud database service offered as SaaS subscription. Flexible plans for every scale with 30-day free trial available.
- Self-Hosted Deployment: Self-hosted deployment option for enterprises preferring on-premises or BYOC deployment models.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Flexible plans for every scale |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels8 records
PhoenixAI product offering
Product offeringCore offering
PhoenixAI builds and sells PhoenixAI Cloud, an AI-native analytical database platform purpose-built for agentic AI and real-time analytics workloads. The product delivers sub-second SQL queries on live enterprise data at 10K+ concurrency, ingests streaming data from Kafka, Flink, and Spark to be queryable in under 5 seconds, and queries Apache Iceberg and Delta Lake lakehouse formats in place. It is offered as a fully managed cloud service or as a self-hosted/BYOC deployment on AWS, Azure, or GCP, and is sold to enterprises running AI agents, customer-facing analytics, real-time dashboards, and lakehouse workloads.
Product overview
PhoenixAI offers a single unified product — PhoenixAI Cloud — an AI-native analytical database purpose-built for agentic AI workloads. The product is positioned as foundational infrastructure for AI agents, providing sub-second SQL access to live enterprise data with high concurrency. PhoenixAI Cloud connects to existing data stacks including streaming sources (Kafka, Flink, Spark), lakehouse formats (Iceberg, Delta Lake), and cloud storage (S3, GCS, ADLS). The company targets use cases in AI and Agents, Real-Time Analytics, Customer-Facing Analytics, and Lakehouse Analytics across industries including Finance, Healthcare, Retail, Manufacturing, and Logistics.
Differentiator
Problem solved
Functional benefit
Products and services
- PhoenixAI Cloud PhoenixAI Cloud is a fully managed cloud-native analytical database for AI agent and real-time analytics workloads. It delivers sub-second SQL query latency on live enterprise data with sustained 10K+ concurrent query throughput, ingests streaming events from Kafka, Flink, and Spark making them queryable in under 5 seconds, queries Apache Iceberg and Delta Lake lakehouse tables in place, and is available as a fully managed cloud service or self-hosted Bring Your Own Cloud (BYOC) deployment on AWS, Azure, or GCP with data staying in the customer's perimeter. SOC 2 Type II certified with row-level security, fine-grained access controls, audit logging, and data masking.
Quantifiable outcome
- Sub-second analytical query latency on 573B+ rows (Coinbase case)
- +4 more outcomes
Companies that use PhoenixAI
Customer profileNamed customers9 records
Segments12 records
Ideal customer profiles2 records
PhoenixAI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration13 records
AI capability2 records
Feature8 records
PhoenixAI partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered core cloud provider, integration partner and core integration.
- AWS (Amazon Web Services)core cloud providerOfficial cloud provider partner. PhoenixAI supports BYOC deployment on AWS with data staying in customer's own AWS perimeter.
- Microsoft Azurecore cloud providerOfficial cloud provider partner. PhoenixAI supports BYOC deployment on Azure with data staying in customer's own Azure perimeter.
- Google Cloud (GCP)core cloud providerOfficial cloud provider partner. PhoenixAI supports BYOC deployment on GCP with data staying in customer's own GCS perimeter.
- Confluentintegration partnerTechnology integration partner for Apache Kafka streaming. PhoenixAI ingests streaming data from Kafka for real-time queryable analytics.
- Databricksintegration partnerListed partner on website. Competitive comparison available between PhoenixAI and Databricks.
- Apache Icebergcore integrationPhoenixAI supports querying Apache Iceberg tables at sub-second speed, with optimizer handling novel joins automatically.
- Delta Lakecore integrationPhoenixAI supports querying Delta Lake at sub-second speed, enabling lakehouse analytics without data movement.
- Kafkacore integrationPhoenixAI ingests streaming data directly from Kafka, making it queryable in under one second. Streaming updates become queryable within seconds.
- Flinkintegration partnerPhoenixAI connects to Flink for real-time data processing integration.
- Sparkintegration partnerPhoenixAI connects to Spark for data processing and ETL integration.
- dbtintegration partnerPhoenixAI integrates with dbt for data transformation workflows.
Scale indicators7 records
Recent moves7 records
Expansion highlights5 records
PhoenixAI competitors and assessment
Company assessmentDirect peers
- ClickHouse: ClickHouse (open-source columnar OLAP database and ClickHouse Cloud) is PhoenixAI's most directly comparable competitor. PhoenixAI publishes explicit comparison content against ClickHouse, especially around AI agent workloads and managed governance - ClickHouse was Demandbase's prior warehouse before the switch.
- StarRocks (open-source project): StarRocks is the open-source MPP analytical database project on which PhoenixAI is built and which PhoenixAI commercially extends. Any user can adopt StarRocks directly, making the project itself a reference for the technology PhoenixAI packages - and a constant baseline against which PhoenixAI's enterprise differentiation (SOC 2, BYOC, support) must justify its pricing.
- SingleStore: SingleStore (formerly MemSQL) is a distributed SQL database combining transactional and real-time analytical workloads with sub-second latency and hybrid cloud/self-hosted deployment. It is directly comparable to PhoenixAI on real-time analytical SQL against operational data, with similar enterprise positioning.
- Firebolt: Firebolt is a cloud data warehouse engineered for sub-second analytical queries at high concurrency, with decoupled storage and compute on S3. It targets the same real-time OLAP workload for AI applications that PhoenixAI markets, competing head-to-head for performance-sensitive AI/agent use cases.
Broad incumbents
- Databricks: Databricks is a broader incumbent lakehouse and data + AI platform. PhoenixAI publishes explicit vs.-Databricks comparison content, and both target analytics on Apache Iceberg/Delta Lake. Databricks is also listed as a PhoenixAI integration/technology partner - they overlap on lakehouse SQL analytics from different architectural starting points.
- Snowflake: Snowflake is the leading cloud data warehouse and a broader incumbent in real-time and AI analytics. PhoenixAI's website features a direct vs.-Snowflake comparison page positioning itself as a real-time alternative; Eightfold explicitly migrated from Redshift (a Snowflake competitor) to PhoenixAI for AI agent workloads.
Emerging players
- Apache Druid: Apache Druid is an open-source real-time analytics database optimized for fast OLAP queries on high-velocity streaming data. It overlaps with PhoenixAI's streaming ingestion and real-time query story (Kafka -> queryable in seconds), making it a relevant open-source alternative for real-time OLAP workloads.
- Apache Pinot: Apache Pinot is an open-source real-time distributed OLAP datastore used for user-facing analytics with low-latency queries. It is comparable to PhoenixAI's customer-facing analytics use case and high-concurrency positioning, often deployed in LinkedIn/Uber-style environments.
- Motherduck (DuckDB): Motherduck is the managed cloud service built on DuckDB, a high-performance in-process analytical SQL engine. It overlaps with PhoenixAI in fast SQL analytics on modern data formats, especially for analytics workloads where DuckDB's columnar engine and Motherduck's serverless model are an alternative to a dedicated real-time warehouse.
Others
- Confluent (ksqlDB): Confluent is the commercial provider of Apache Kafka and offers ksqlDB for stream-processing SQL on Kafka topics. PhoenixAI lists Confluent as a strategic technology/integration partner and ingests Kafka streams directly. Confluent/ksqlDB is an ecosystem alternative for stream SQL rather than a direct warehouse competitor, but it overlaps on the real-time query path.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
PhoenixAI compliance and trust
Trust signalCompliance1 record
PhoenixAI financial estimates
Financial estimateRevenue estimate
Valuation estimate
PhoenixAI leadership team
Management profileNumber of profiles
Profiles1 record
PhoenixAI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
PhoenixAI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about PhoenixAI
What does PhoenixAI do?
PhoenixAI builds and sells PhoenixAI Cloud, an AI-native analytical database platform purpose-built for agentic AI and real-time analytics workloads. The product delivers sub-second SQL queries on live enterprise data at 10K+ concurrency, ingests streaming data from Kafka, Flink, and Spark to be queryable in under 5 seconds, and queries Apache Iceberg and Delta Lake lakehouse formats in place. It is offered as a fully managed cloud service or as a self-hosted/BYOC deployment on AWS, Azure, or GCP, and is sold to enterprises running AI agents, customer-facing analytics, real-time dashboards, and lakehouse workloads.
Is PhoenixAI a public or private company?
PhoenixAI is a private company. It is classified as venture growth investor backed and is currently operating.
When was PhoenixAI founded?
PhoenixAI was founded in 2019. It employs 51 to 100 people.
Where is PhoenixAI based?
PhoenixAI is headquartered in Menlo Park, United States, in the North America region.
How does PhoenixAI make money?
Two revenue lines are on record. PhoenixAI Cloud is the primary driver. The others are self-Hosted Deployment.
Who are PhoenixAI's main competitors?
Direct peers on record are ClickHouse, StarRocks (open-source project), SingleStore and Firebolt. Broad incumbents are Databricks and Snowflake. Emerging players are Apache Druid, Apache Pinot and Motherduck (DuckDB). Confluent (ksqlDB) is listed as an others.
Does PhoenixAI have an API?
Yes. PhoenixAI supports ANSI SQL, MySQL wire protocol, and JDBC/ODBC connectivity. MCP (Model Context Protocol) is listed as part of the database engine's connectivity layer, enabling AI agents to interface with the database.
What industry is PhoenixAI in?
PhoenixAI's product category is Real-Time Analytical Database Software. Its primary akta.pro industry code is HDAEABAB, Lakehouse Platforms, with a secondary code of HDAEABAI, Query Engines & SQL Analytics Layers for Warehouses/Lakes. Its NAICS code is 5132 and its SIC code is 7372.