Yellowbrick Review: Enterprise SQL Data Platform
Yellowbrick helps mid-market and enterprise companies manage large-scale data warehousing and analytics. It is designed for teams needing to maintain data residency by keeping data within their own cloud accounts or data centers.
At a glance
- Category
- Data & Analytics
- Best for
- Enterprise companies, Mid-market companies, Organizations with strict data residency requirements, Teams handling petabyte-scale data
- Pricing
- Pricing is based on vCPU usage with three options: a 3-Year Subscription at $482 per vCPU/year, a 1-Year Predictable Value Subscription at $613 per vCPU/year, and on-demand Burst Pricing at $0.28 per vCPU/hour.
- Key use cases
- Enterprise Data Warehousing, Streaming Analytics, BI and AI Workloads, Legacy Database Migration
- Integrations
- Kafka, AirByte, Informatica
- Official website
- www.yellowbrick.com/
Yellowbrick is an SQL data platform designed for enterprise data warehousing, ad-hoc analytics, and streaming analytics. It uses a Kubernetes-native architecture that supports deployment across public clouds, private clouds, on-premises data centers, and edge devices.
The tool is designed for organizations handling petabyte-scale data and thousands of concurrent users. It supports BI and AI workloads while allowing users to maintain control over their data environment, which may help meet security and sovereignty requirements.
Buyers should note that the platform is geared toward larger organizations with significant data volumes. It offers PostgreSQL compatibility and provides extensions to support migration from legacy systems such as Oracle or Teradata.
Prospective users should evaluate their infrastructure preferences, as Yellowbrick allows for a mix of cloud and on-premises deployments, and should review the vCPU-based pricing models to match their specific workload patterns.
Key Features
Designed to keep data under user control within their own cloud account or data center to meet residency and sovereignty needs.
Supports deployment across public and private clouds, data centers, laptops, and edge devices.
Supports the allocation of resources to prevent long-running workloads from delaying interactive queries.
Provides a SQL interface with extensions for compatibility with Teradata, Oracle, Redshift, and SQL Server.
Supports real time data ingestion and bulk loads alongside columnar queries.
Supports the creation and management of compute clusters through SQL or a web interface to isolate workloads.
Use Cases
Handling petabyte-scale data storage and querying for large organizational datasets.
Processing and querying real time data streams from sources like Kafka.
Supporting business intelligence reporting and artificial intelligence data processing.
Moving data and workloads from legacy systems using automated tooling and SQL extensions.
Best For
Integrations
Pricing
Pricing is based on vCPU usage with three options: a 3-Year Subscription at $482 per vCPU/year, a 1-Year Predictable Value Subscription at $613 per vCPU/year, and on-demand Burst Pricing at $0.28 per vCPU/hour.
FAQ
Yellowbrick uses vCPU-based pricing with options for a 1-year subscription, a 3-year subscription, or on-demand hourly burst pricing.
It can be deployed in public clouds (AWS, Azure, GCP), private clouds, on-premises data centers, and on laptops or edge devices.
Yes, it offers SQL extensions for compatibility with Teradata, Oracle, Redshift, and SQL Server to support the migration process.
It is designed for mid-market and enterprise companies that manage massive data volumes and have specific security or data residency requirements.
Source category: Data & Analytics
Source subcategory: Data Management
