Qubole
qubole.com
What it is
Qubole is a cloud data lake platform for data engineering, data management, streaming analysis, machine learning, data exploration, and ad-hoc analytics. It lists support for AWS, Microsoft Azure, Google Cloud Platform, and Oracle Cloud Infrastructure, alongside Apache Spark, Presto, Hive/Hadoop, TensorFlow, and Airflow. Workbench lets users author, save, template, and share reports and queries, with optimized Presto SQL, Tableau and Looker integrations, and Git integration. The Assisted Pipeline Builder combines batch or streaming sources into streaming pipelines using fault-tolerant infrastructure. Qubole says it provisions, manages, and optimizes cloud resources, including workload-aware autoscaling and real-time spot buying. Security controls include encryption, role-based access, and integration with cloud IAM, Active Directory, and LDAP. The service states a 99.9% availability commitment, excluding scheduled and communicated maintenance. A 30-day full-featured trial is listed. Enterprise Edition is priced on request, billed per QCU per hr, and requires an annual contract; On-Demand is priced on request, billed per QCU per hr. Both exclude user fees; On-Demand lists them as $108 per user per month.
Spec sheet
- Purpose
- Qubole describes its platform as an open, secure, multi-cloud data lake platform for machine learning, streaming analytics, data exploration, and ad-hoc analytics.Read 2 Oct 2026 · qubole.com
- Integrations
- Qubole's Spark page lists authenticated ODBC/JDBC connections for Tableau and Looker, REST API integrations including Airflow and Oozie, and data connectors including Snowflake, Redshift, Kafka, and Kinesis.Read 2 Oct 2026 · qubole.com
- Compliance
- Qubole's trust page identifies a SOC 2 Type II report and describes third-party validation for SOC 2, HIPAA, and PCI in its shared responsibility model.Read 2 Oct 2026 · qubole.com
- Support
- The pricing page says support is included with both Enterprise Edition and On-Demand plans.Read 2 Oct 2026 · qubole.com
- Headquarters
- Santa Clara, California, United StatesRead 28 Sep 2026 · qubole.com
- Analytics
- Its Workbench supports authoring, saving, templating, and sharing reports and queries, with optimized Presto SQL, Tableau and Looker integrations, and Git integration.Read 2 Oct 2026 · qubole.com
- Availability
- Qubole states a 99.9% availability commitment, excluding scheduled and communicated maintenance windows.Read 2 Oct 2026 · qubole.com
- Clouds
- Qubole Data Service documentation lists AWS, Microsoft Azure, Google Cloud Platform, and Oracle Cloud Infrastructure as supported cloud providers.Read 2 Oct 2026 · docs.qubole.com
- Data workloads
- Qubole supports data engineering, data management, streaming analysis, machine learning, and ad-hoc analytics workloads.Read 2 Oct 2026 · qubole.com
- Engines
- Qubole lists Apache Spark, Presto, Hive/Hadoop, TensorFlow, and Airflow among the open-source frameworks it supports.Read 2 Oct 2026 · qubole.com
- Pipeline building
- The Assisted Pipeline Builder combines streaming or batch data sources into streaming pipelines, using fault-tolerant infrastructure.Read 2 Oct 2026 · qubole.com
- Scaling and cost
- Qubole says it automatically provisions, manages, and optimizes cloud resources, and highlights workload-aware autoscaling and real-time spot buying.Read 2 Oct 2026 · qubole.com
- Security controls
- Qubole describes encryption, role-based access controls, and integration with cloud IAM, Active Directory, and LDAP for data access governance.Read 2 Oct 2026 · qubole.com
- Usage fees
- The On-Demand price excludes user fees of $108 per user per month, while Enterprise Edition excludes user fees without stating their amount on the pricing page.Read 2 Oct 2026 · qubole.com
Plans and prices
Strong points and limits
Strong points
- Supports four listed cloud providers.
- Workbench integrates with Tableau, Looker, and Git.
- Includes workload-aware autoscaling and spot management.
- A full-featured 30-day trial is available.
Limits
- No free plan is listed.
- Both paid plans exclude user fees.
- Enterprise Edition requires an annual contract.
- Availability commitment excludes scheduled maintenance.
Who it suits
Qubole suits teams building data engineering, streaming, machine-learning, or analytics workloads across supported cloud providers. It may fit organizations that need workload scaling and governance controls alongside query and pipeline tools.
Verdict
Qubole combines cloud data workloads, analytics, and pipeline building with a broad list of engines and providers. Compare the per-QCU rates together with user fees and contract requirements when considering a paid plan.
Where Specifiction places it
- Ai Data Platforms#8 of 177.2
- Data Lake Software#11 of 197.2