FluffyStack toolsJurisdictional exposure
Sub-services (3)
Core Hadoop
HDFS, YARN, Hive and Spark clusters for batch processing
HBase
Clusters with HBase for large-scale NoSQL workloads
Trino
Clusters with Trino for interactive SQL queries
Compliance & Certifications
This service is attested for the following frameworks. Always verify with the provider before relying on a specific compliance posture.
Where this runs
Commercial regions (1)
Asia (1)
- Korea Central 2 (Seoul metropolitan area)
Tags
Equivalent services on other platforms
Exabyte-scale fully managed data warehouse (formerly ODPS) optimised for batch analytics on structured and semi-structured data, with SQL, MapReduce, and Spark computation engines, columnar storage, and tight integration with DataWorks
Serverless interactive query service that runs ANSI SQL directly on S3 data lakes with per-query pricing, Apache Iceberg and Hudi table formats, and Glue catalog integration
Managed big-data platform for running Apache Spark, Hive, Presto, Flink, Trino, and HBase across EC2, EKS, and fully serverless deployments with up to 5x faster Spark runtime and Graviton price-performance
Unified analytics service combining data warehousing and big data processing with dedicated and serverless SQL pools, Apache Spark, Data Integration pipelines, and Power BI embedded
Managed open-source analytics clusters for Hadoop, Apache Spark, Apache Hive LLAP, Apache Kafka, and Apache HBase with enterprise security via Enterprise Security Package, autoscale, and integration with ADLS Gen2 — used mainly for migrating existing OSS big-data estates into Azure
Managed Apache Spark and Hadoop (formerly Dataproc and Serverless for Apache Spark), offered as per-second-billed clusters on Compute Engine or as serverless Spark batches and sessions, with Flink, Trino and other open-source components.
Fully managed big-data platform running Apache Spark, Hive, HBase, Flink, Hadoop, and Kudu clusters with autoscaling, Kerberos security, and integration with OBS for compute-storage separation
Managed Hadoop and Spark clusters built on Oracle Distribution including Apache Hadoop (ODH), with Hive, HBase, Spark, Trino and Ambari management, highly available master/worker/edge nodes and OCI integrations.
Serverless managed Apache Spark — submit a Spark job, OCI runs it on transient infrastructure, returns the result. No cluster to manage; pay per OCPU-second of execution.
Managed big-data platform running Apache Spark, Hadoop, Hive, HBase, Flink, Presto, and ClickHouse with autoscaling, Kerberos authentication, integration with COS for compute-storage separation, and Jupyter notebooks for interactive analysis