Scale
beyond
Snowflake
with
Starburst

Discover how Starburst empowers teams outgrowing Snowflake to quickly support new workloads in a fast, cost-efficient manner that works alongside their existing processes.

Starburst empowers data teams to quickly support new workloads in a cost-efficient manner by letting teams performantly query data in object storage. With Starburst running alongside your cloud data warehouse, you can choose which workloads to push into your data warehouse, adding openness and flexibility to your data architecture.

50-75%

faster time to insight realized at a multi-national bank

#1

Quality of Support and Product Direction in G2’s Grid Report

Snowflake challenges encountered at scale

Initially, Snowflake meets modern user expectations with features designed for high performance, ease of use, and guaranteed reliability. But as usage scales, costs skyrocket and team productivity suffers.

Data teams slowed down

Majority of time spent on administrative tasks – tuning clusters and optimizing queries to manage costs

Backlog increases

List of new projects and business asks grow as overall productivity of the data team slows down

Commits burned through

Actual costs outpace estimates, placing team budgets under scrutiny

Starburst is a High Performer in Data Warehousing

Don’t take our word for it. Starburst is named #1 for Quality of Support and Product Direction in G2’s Enterprise Grid Report based on real customer reviews. Additionally, customers said Starburst beat out Snowflake in all of these categories:

  • Ease of Use
  • Product Direction
  • Data Integration
  • Quality of Support
  • Data Visualization
  • Hadoop Integration
  • WYSIWYG Report Design

Databricks Comparison Factors to Consider

When looking for a data lakehouse solution, you should look for one that lets you pick your open formats, easily works with your data in and around the data lake, and is a hybrid solution, supporting on-premises and in the cloud data storage.

Simplicity

Going beyond platform governance and management capabilities, Starburst empowers data teams with easy-to-use functionality that increases productivity without adding complexity. It allows teams to use a range of existing investments in just a few clicks. It helps to break down data silos and build federated data products from distributed data sets to support use cases and scale self-service usage and adoption across the organization.

Access

True data access empowers data teams with the ability to use all their data, no matter where it lives, across data lakes, data warehouses, and databases while having confidence in security and governance controls. Most cloud data warehouses require you to dump your source data into a lake before ingesting a portion of that data into the warehouse. Starburst eliminates the need for those extra pipelines by running directly on top of your object storage.

Scalability

Today’s data teams need to manage performance and costs. Internet scale matters in an internet-powered world but not every workload needs the highest levels of power and performance – especially as costs go up at a faster rate than performance. Starburst saves customers anywhere from 50% to 75% on their cloud bills by helping customers transform and query data on their data lake without needing to push it all into a data warehouse.

Optionality

Open file and table formats are table stakes in providing optionality. Starburst helps you optimize your architecture (and your budget) by providing you with the ability to make deliberate decisions about where to run workloads (on the lake or in a warehouse) without added complexity. Optionality also means that your SQL scripts are easily transferable to new data architectures and platforms when you need them to move without requiring massive undertakings in conversion and rewriting.

Simplicity

Going beyond platform governance and management capabilities, Starburst empowers data teams with easy-to-use functionality that increases productivity without adding complexity. It allows teams to use a range of existing investments in just a few clicks. It helps to break down data silos and build federated data products from distributed data sets to support use cases and scale self-service usage and adoption across the organization.

Starburst Galaxy
Snowflake

Native data security

Automated cluster management

Built-in real-time usage monitoring

Internal data product sharing and marketplace

GenAI text-to-SQL

Built-in natural language processing

24x7 Customer Support

Automated data optimization

Federated Data Products

Automated data maintenance

Simple pricing

Easy to get started

Comparison based on publicly available information as of July 1, 2024. * In preview. Contact us to learn more.

Access

True data access empowers data teams with the ability to use all their data, no matter where it lives, across data lakes, data warehouses, and databases while having confidence in security and governance controls. Most cloud data warehouses require you to dump your source data into a lake before ingesting a portion of that data into the warehouse. Starburst eliminates the need for those extra pipelines by running directly on top of your object storage.

Starburst Galaxy
Snowflake

Data Observability

Row filters and column masking

Time-based access control policies

SOC 2 Type 2 compliance and ISO 27001 certified

Private Link for AWS, Azure, and Google

Near real-time data ingestion of streaming data

On-premise data federation

RBAC

ABAC

Dynamic catalog

Cross region analytics without data movement

Performant Cross-cloud analytics without data movement

Universal search and schema discovery

Comparison based on publicly available information as of July 1, 2024. * In preview. Contact us to learn more.

Scalability

Today’s data teams need to manage performance and costs. Internet scale matters in an internet-powered world but not every workload needs the highest levels of power and performance – especially as costs go up at a faster rate than performance. Starburst saves customers anywhere from 50% to 75% on their cloud bills by helping customers transform and query data on their data lake without needing to push it all into a data warehouse.

Starburst Galaxy
Snowflake

Interactive query performance

Consistently execute long-running batch queries

Fault Tolerant Execution

Materialized views

Customizable scaling for cost and performance optimization

Price/performant SQL query engine**

Smart indexing and caching (results and query) above baseline results and subquery caching

Autoscaling by adding/removing incremental nodes

Comparison based on publicly available information as of July 1, 2024. * In preview. Contact us to learn more. ** See Concurrency Labs Benchmark report

Optionality

Open file and table formats are table stakes in providing optionality. Starburst helps you optimize your architecture (and your budget) by providing you with the ability to make deliberate decisions about where to run workloads (on the lake or in a warehouse) without added complexity. Optionality also means that your SQL scripts are easily transferable to new data architectures and platforms when you need them to move without requiring massive undertakings in conversion and rewriting.

Starburst Galaxy
Snowflake

Runs on multiple clouds

Supports popular open file formats

Supports Python

Supports first and third-party data catalogs

Standard ANSI SQL

OSS MPP SQL query engine

Supports Iceberg, Delta Lake, Hudi, and Hive table formats

Supports Apache Ranger

Comparison based on publicly available information as of July 1, 2024. * In preview. Contact us to learn more.

Value
across
industries

Retail & CPG

BestSecret first implemented open source Trino to combat rising Snowflake costs, then turned to Starburst’s enterprise-grade solution.

 

By deploying Starburst, BestSecret reduced costs by 70% and achieved a decentralized, zero ELT approach with the ability to federate across sources and analyze the data where it sits.

Telecommunications

Comcast built a hybrid analytics platform, powered by Starburst and Trino, to provide end users easy access to datasets across data warehouses, NoSQL databases, and data lakes.

 

The platform pulls in 250-300 TBs of data daily, enabling real-time data exploration while reducing data warehouse spend, ETL, and labor costs.

Financial Services

doxo’s process of joining data from disparate sources to their data warehouse was time-consuming and labor intensive.

 

By using Starburst as an abstraction layer, analysts are able to quickly query data in multiple databases and warehouses simultaneously without ETL, simplifying millions of daily transactions.

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  • Discover

    Discover

    Easily search across data sources and clouds to find the data you need.

  • Govern

    Govern

    Streamline data governance with built-in RBAC and ABAC.

  • Analyze

    Analyze

    Run internet-scale workloads with the power of Trino.

  • Fast

    Fast

    Accelerate queries with smart indexing and caching technologies like Warp Speed.

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