Yellowbrick
Relational databases
Data warehouse solutions
Database software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Yellowbrick
Yellowbrick is an MPP SQL data warehouse platform designed for analytics and reporting on large datasets. It targets data engineering and analytics teams that need a relational, SQL-based warehouse for BI, ad hoc querying, and data mart workloads. The product emphasizes high-concurrency analytics and deployment flexibility across cloud and on-premises environments. It provides a PostgreSQL-compatible interface and integrates with common BI and data pipeline tools.
MPP analytics performance focus
Yellowbrick is built as a massively parallel processing (MPP) warehouse optimized for analytical queries rather than transactional workloads. It is designed to support high concurrency for many simultaneous BI and ad hoc users. This makes it a fit for organizations consolidating multiple analytic marts or serving many dashboards from a single warehouse.
Flexible deployment options
The platform supports deployment in cloud environments and in customer-managed infrastructure, which can help organizations with data residency or latency constraints. This flexibility can be useful when teams need to keep some workloads close to on-premises data sources while still using cloud services. It also supports hybrid patterns where data and compute placement varies by workload.
SQL and ecosystem compatibility
Yellowbrick provides a SQL interface with PostgreSQL compatibility, which can reduce retraining for teams already using common SQL tooling. It integrates with standard BI tools and data ingestion/ETL pipelines via JDBC/ODBC and connectors. This can simplify adoption compared with systems that require proprietary query languages or specialized client tooling.
Not a general-purpose RDBMS
Yellowbrick is primarily oriented to analytics and warehousing rather than OLTP application databases. Workloads that require high-frequency row-level updates, complex transactional semantics, or operational features typical of application databases may be better served elsewhere. Teams often need a separate operational database alongside Yellowbrick.
Smaller managed-service footprint
Compared with large cloud-native database services, Yellowbrick typically involves more platform planning around sizing, deployment architecture, and operations. Organizations may need additional expertise for capacity management, upgrades, and performance tuning depending on the chosen deployment model. This can increase operational overhead for small teams.
Ecosystem and feature breadth varies
Some advanced capabilities common in broader database portfolios (for example, deep native integrations with a single cloud provider’s surrounding services) may require additional configuration or third-party components. Feature availability can also differ by deployment option and version. Buyers usually need to validate specific requirements such as security controls, workload management, and data integration patterns during evaluation.
Plan & Pricing
Pricing model: Pay-as-you-go + subscription (per-vCPU pricing) Free tier/trial: Pricing page shows a "Start a Trial" action (see notes); press release (historical) referenced a 30-day trial for a specific Standard Service Plan. See notes below. Example costs / published rates (official site):
- On-demand (burst) — $0.28 per vCPU per hour (billed per second, monthly).
- Annual prepaid on-demand — $0.14 per vCPU per hour (requires $200,000 annual pre-pay according to docs).
- One-year subscription — $613 per vCPU per year (approx. $0.07 per vCPU per hour using 8,736 hrs/yr).
- Three-year subscription — $482 per vCPU per year (approx. $0.055 per vCPU per hour using 8,736 hrs/yr).
Notes / key details (from official docs/pricing page):
- Yellowbrick bills software usage by vCPU; cloud infrastructure costs are billed separately ("your cloud costs").
- Metering: on-demand is per-second metering, billed monthly.
- Pre-paid on-demand: documented annual pre-pay amount of $200k (unused service does not roll over).
- Hardware subscriptions (on-prem) are calculated using 720 hrs/month or 8,736 hrs/year; optional 2x DRAM is available (+$1/vCPU/month).
- On-premises infrastructure subscriptions and hardware purchases require contacting sales.
Discounts / purchase options:
- Combination of on‑demand and subscription models supported.
- Lower effective hourly rates for 1‑year and 3‑year subscriptions; additional reduced rate with annual pre-pay ($200k).
(See official Yellowbrick pricing and documentation pages for full context.)
Seller details
Yellowbrick Data, Inc.
Mountain View, CA, USA
2014
Private
https://www.yellowbrick.com/
https://x.com/yellowbrickdata
https://www.linkedin.com/company/yellowbrick-data/
