Mobility · Hybrid
Uber
Uber runs thousands of microservices on a hybrid cloud with multiple active data centers, using Docker on Mesos/Aurora, Kafka + Flink/Spark + Pinot/Presto/HDFS for real-time and batch data, and in-house layers like Michelangelo AI as a model gateway on top of this foundation.[11][16][3][9][6] Core operational data lives in Schemaless/Docstore on MySQL plus Cassandra/Riak, with extensive self-hosted open-source infrastructure (Kafka, Flink, Pinot, Spark, Presto, HDFS, Elasticsearch) augmented by proprietary platforms such as Michelangelo and Zero Growth Stack.[11][3][9][13][6]
Foundation proximity: Off the LLM map (in-house non-LLM ML)
Foundational models & how they consume them
Off the LLM map — in-house non-LLM ML only.
Cloud & datastore
HybridSchemaless (MySQL-based Docstore)Docstore (on MySQL)MySQLCassandraRiakApache PinotHDFSHivePrestoApache SparkElasticsearchKafka (as streaming log/store)Compliance
SOC 2 (inferred from large-scale hybrid cloud and enterprise focus)PCI-DSS (inferred from handling global payments and card data)GDPR (inferred from operating across EU with personal location data)Similar companies
LyftExplore
FAQ
Does Uber use a foundational AI model?
Uber relies on in-house, non-LLM machine learning at its core — off the foundational-LLM map.
What cloud does Uber run on?
Uber runs on Hybrid.
What database does Uber use?
Uber uses Schemaless (MySQL-based Docstore), Docstore (on MySQL), MySQL, Cassandra, Riak, Apache Pinot, HDFS, Hive, Presto, Apache Spark, Elasticsearch, Kafka (as streaming log/store).
How close does Uber run to the foundational model?
Uber is off the foundational-LLM map (in-house non-LLM ML).
Sources
uber.com ↗← Full orbit map (260 companies) · Score your own stack →
Architecture inferred from public sources · confidence low · verify before betting on a detail.