# Top 10 Amazon Redshift Alternatives & Competitors

(404)4.3 out of 5

Reviewers exploring Amazon Redshift often also consider these top-rated options in the same software category. Data Warehouse Solutions is used by teams seeking easy to use, productive platforms with features like ai/ ml integration, data lake integration, and built-in data analytics, according to G2 reviews. When comparing Amazon Redshift with other tools, reviewers most often evaluate analytics and storage as key differentiators.   
 The best overall alternative to Amazon Redshift is [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews), rated ~4.5 stars on G2 from 1145+ reviewers. It is frequently praised for speed and fast querying. Other well-known alternatives to Amazon Redshift are: 
- [Snowflake](https://www.g2.com/products/snowflake/reviews) – known for data management and performance (G2 star rating ~4.5)
- [Rocket Vertica](https://www.g2.com/products/rocket-vertica/reviews) – highly rated for features and reliability (G2 star rating ~4.3)
- [Cloudera](https://www.g2.com/products/cloudera/reviews) – offers security and data management (G2 star rating ~4.2)
- [Databricks](https://www.g2.com/products/databricks/reviews) – best suited for teams that need collaboration and analytics (G2 star rating ~4.6)

 Browse top options below. Based on G2 review data, Amazon Redshift is most commonly used in industries like [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse), [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution), [Relational Databases](https://www.g2.com/categories/relational-databases). Compare user ratings by vertical to find the best fit.

## Best Paid & Free Alternatives to Amazon Redshift

- Google Cloud BigQuery
- Snowflake
- Rocket Vertica
- Cloudera
- Databricks
- IBM Db2
- Teradata Autonomous Knowledge Platform
- IBM Netezza Performance Server

## Top 10 Alternatives to Amazon Redshift Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Amazon Redshift stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Retail, and Hospital & Health Care, and find the best product for your business.

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[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/96b275379465d759df5bffd0099d849a/google-cloud-bigquery.png "Product Avatar Image")
](https://www.g2.com/products/google-cloud-bigquery/reviews)

[](/assistant/landing)

[
Google Cloud BigQuery
](https://www.g2.com/products/google-cloud-bigquery/reviews)

By [Google](https://www.g2.com/sellers/google)

[

4.5/5(1,224)

](https://www.g2.com/products/google-cloud-bigquery/reviews#reviews)

Product Description

Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.

Reviewers say compared to Amazon Redshift, Google Cloud BigQuery is:

Better at meeting requirements

Easier to set up

Easier to admin

Categories in common with Amazon Redshift:

[
Columnar Databases
](/categories/columnar-databases)[
Data Warehouse
](/categories/data-warehouse)[
Big Data Integration Platforms
](/categories/big-data-integration-platforms)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/2b00e05c107c3273cea5264090c3c1d0/snowflake.jpg "Product Avatar Image")
](https://www.g2.com/products/snowflake/reviews)

[](/assistant/landing)

[
Snowflake
](https://www.g2.com/products/snowflake/reviews)

By [Snowflake, Inc.](https://www.g2.com/sellers/snowflake-inc)

[

4.5/5(765)

](https://www.g2.com/products/snowflake/reviews#reviews)

Product Description

Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.

Reviewers say compared to Amazon Redshift, Snowflake is:

Better at meeting requirements

Easier to set up

More usable

Categories in common with Amazon Redshift:

[
Columnar Databases
](/categories/columnar-databases)[
Data Warehouse
](/categories/data-warehouse)[
Big Data Integration Platforms
](/categories/big-data-integration-platforms)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/a2559559c31782192a7867c350903356/rocket-vertica.png "Product Avatar Image")
](https://www.g2.com/products/rocket-vertica/reviews)

[](/assistant/landing)

[
Rocket Vertica
](https://www.g2.com/products/rocket-vertica/reviews)

By [Rocket Software](https://www.g2.com/sellers/rocket-software)

[

4.3/5(216)

](https://www.g2.com/products/rocket-vertica/reviews#reviews)

Product Description

Vertica offers a software-based analytics platform designed to help organizations of all sizes monetize data in real time and at massive scale.

Reviewers say compared to Amazon Redshift, Rocket Vertica is:

Slower to reach roi

Categories in common with Amazon Redshift:

[
Columnar Databases
](/categories/columnar-databases)[
Data Warehouse
](/categories/data-warehouse)

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[
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](https://www.g2.com/products/cloudera/reviews)

[](/assistant/landing)

[
Cloudera
](https://www.g2.com/products/cloudera/reviews)

By [Cloudera](https://www.g2.com/sellers/cloudera)

[

4.2/5(197)

](https://www.g2.com/products/cloudera/reviews#reviews)

Product Description

Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.

Categories in common with Amazon Redshift:

[
Data Warehouse
](/categories/data-warehouse)[
Big Data Integration Platforms
](/categories/big-data-integration-platforms)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image")
](https://www.g2.com/products/databricks/reviews)

[](/assistant/landing)

[
Databricks
](https://www.g2.com/products/databricks/reviews)

By [Databricks Inc.](https://www.g2.com/sellers/databricks-inc)

[

4.6/5(1,361)

](https://www.g2.com/products/databricks/reviews#reviews)

Product Description

Making big data simple

Reviewers say compared to Amazon Redshift, Databricks is:

More expensive

Better at support

Better at meeting requirements

Categories in common with Amazon Redshift:

[
Data Warehouse
](/categories/data-warehouse)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/5015a6ccbbe12278ba4392c1c0d806be/ibm-db2.png "Product Avatar Image")
](https://www.g2.com/products/ibm-db2/reviews)

[](/assistant/landing)

[
IBM Db2
](https://www.g2.com/products/ibm-db2/reviews)

By [IBM](https://www.g2.com/sellers/ibm)

[

4.1/5(683)

](https://www.g2.com/products/ibm-db2/reviews#reviews)

Product Description

IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs.

Reviewers say compared to Amazon Redshift, IBM Db2 is:

Slower to reach roi

More expensive

Categories in common with Amazon Redshift:

[
Data Warehouse
](/categories/data-warehouse)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/ce723ad59ccdd9d49948ce2bea0cc4cc/teradata-autonomous-knowledge-platform.jpg "Product Avatar Image")
](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)

[](/assistant/landing)

[
Teradata Autonomous Knowledge Platform
](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)

By [Teradata Autonomous Knowledge Platform](https://www.g2.com/sellers/teradata-autonomous-knowledge-platform)

[

4.3/5(375)

](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews#reviews)

Product Description

Teradata Autonomous Knowledge Platform easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.

Reviewers say compared to Amazon Redshift, Teradata Autonomous Knowledge Platform is:

More expensive

Better at meeting requirements

Categories in common with Amazon Redshift:

[
Data Warehouse
](/categories/data-warehouse)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/5015a6ccbbe12278ba4392c1c0d806be/ibm-netezza-performance-server.png "Product Avatar Image")
](https://www.g2.com/products/ibm-netezza-performance-server/reviews)

[](/assistant/landing)

[
IBM Netezza Performance Server
](https://www.g2.com/products/ibm-netezza-performance-server/reviews)

By [IBM](https://www.g2.com/sellers/ibm)

[

4.1/5(84)

](https://www.g2.com/products/ibm-netezza-performance-server/reviews#reviews)

Product Description

IBM Netezza Performance Server is a purpose-built, standards-based data warehouse and analytics appliance that integrates database, server, storage and analytics into an easy-to-manage system. It is designed for high-speed analysis of big data volumes, scaling into the petabytes.

Reviewers say compared to Amazon Redshift, IBM Netezza Performance Server is:

Slower to reach roi

More expensive

More usable

Categories in common with Amazon Redshift:

[
Data Warehouse
](/categories/data-warehouse)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/92337bdf8bb7b5fdb1c092d3f120bf49/sql-server-2019.png "Product Avatar Image")
](https://www.g2.com/products/sql-server-2019/reviews)

[](/assistant/landing)

[
SQL Server 2019
](https://www.g2.com/products/sql-server-2019/reviews)

By [Microsoft](https://www.g2.com/sellers/microsoft)

[

4.5/5(83)

](https://www.g2.com/products/sql-server-2019/reviews#reviews)

Product Description

Parallel Data Warehouse offers scalability to hundreds of terabytes and high performance through a massively parallel processing architecture.

Reviewers say compared to Amazon Redshift, SQL Server 2019 is:

Better at meeting requirements

Better at support

More usable

Categories in common with Amazon Redshift:

[
Data Warehouse
](/categories/data-warehouse)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/99df55ecda53b8523a953e402beea557/panoply.png "Product Avatar Image")
](https://www.g2.com/products/panoply/reviews)

[](/assistant/landing)

[
Panoply
](https://www.g2.com/products/panoply/reviews)

By [Panoply](https://www.g2.com/sellers/panoply)

[

4.5/5(83)

](https://www.g2.com/products/panoply/reviews#reviews)

Product Description

Panoply delivers the world’s only unified, ETL-less Smart Data Warehouse, expediting the journey of migrating raw data to analytics using machine learning and natural language processing.

Reviewers say compared to Amazon Redshift, Panoply is:

Easier to admin

Easier to do business with

Easier to set up

Categories in common with Amazon Redshift:

[
Data Warehouse
](/categories/data-warehouse)

## Amazon Redshift Alternatives FAQs

Generated using AI

### What are the best alternatives to Amazon Redshift in 2026?

The best alternatives to Amazon Redshift include [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) (4.5/5 stars, 1227 reviews), [Snowflake](https://www.g2.com/products/snowflake/reviews) (4.5/5 stars, 755 reviews), and [Databricks](https://www.g2.com/products/databricks/reviews) (4.6/5 stars, 803 reviews). These platforms excel in ease of use, scalability, and advanced analytics features. BigQuery offers serverless architecture with built-in machine learning and AI integration, Snowflake provides seamless data sharing and multi-cloud support with AI enhancements, and Databricks unifies data engineering, analytics, and machine learning in one platform with collaborative notebooks and strong Spark integration.

### What features do alternatives offer that Amazon Redshift does not?

Amazon Redshift lacks native support for unstructured data and advanced AI/ML capabilities that some alternatives provide. It requires manual tuning for query optimization and cluster management, which can be complex and costly at scale.

### Which Data Warehouse tools do reviewers recommend instead of Amazon Redshift?

Reviewers recommend [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) for its fast, serverless querying of massive datasets and AI-ready platform. [Snowflake](https://www.g2.com/products/snowflake/reviews) is favored for its ease of administration, performance at scale, and secure data sharing capabilities. [Databricks](https://www.g2.com/products/databricks/reviews) is highly recommended for its unified environment supporting data engineering, analytics, and machine learning with strong collaboration features. These alternatives are preferred for their advanced features, better usability, and scalability compared to Amazon Redshift.

### How does Amazon Redshift compare to BigQuery?

According to G2 data, [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) holds an average rating of 4.3/5 from 402 reviews, while [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) leads with a 4.5/5 rating across 1,227 reviews. Both platforms excel in handling large datasets and offer strong integration within their respective cloud ecosystems—Redshift with AWS and BigQuery with Google Cloud. Users praise Redshift for its fast query execution, scalability, and tight AWS integration, highlighting features like columnar storage and AI-driven workload management. However, Redshift requires careful cluster management, query optimization, and can incur high costs if not monitored. BigQuery is favored for its serverless architecture, ease of use, and near real-time analytics, with users noting its fast query performance on petabyte-scale data and seamless integration with Google services like Looker Studio and Vertex AI. Cost management is a common challenge for BigQuery due to its pay-per-query pricing, which can lead to unpredictable expenses without query optimization. Dimension scores show BigQuery slightly ahead in "Better at Meeting Requirements" (8.8 vs 8.7), "Easier to Set Up" (8.7 vs 8.6), and "Easier to Admin" (8.5 vs 8.4), while Redshift leads marginally in "Better at Support" (8.5 vs 8.3) and "Easier to Do Business With" (8.7 vs 8.6). Both products have similar "More Usable" scores (8.7 each). Overall, BigQuery's serverless model and scalability provide operational simplicity and faster analytics on massive datasets, whereas Redshift offers more control with AWS-native integrations but requires more hands-on management and tuning.

### Why do users choose BigQuery over Amazon Redshift?

Users choose [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) over Amazon Redshift primarily for its fully managed, serverless architecture that eliminates the need for infrastructure provisioning and cluster management. With 1,227 reviews highlighting its ease of use, fast query performance on petabyte-scale datasets, and seamless integration with the Google Cloud ecosystem—including tools like Looker Studio and Vertex AI—BigQuery enables faster time to insights and reduces operational overhead. Its pay-as-you-go pricing model, while requiring careful query optimization, offers cost efficiency for variable workloads. Additionally, BigQuery's built-in machine learning capabilities (BigQuery ML) and support for real-time analytics appeal to users seeking advanced analytics within a unified platform. The platform's scalability and ability to handle massive datasets with minimal maintenance make it a preferred choice for organizations prioritizing agility and simplicity in large-scale data analytics. Despite some concerns about cost unpredictability and a learning curve for advanced features, BigQuery's advantages in speed, scalability, and integration drive user preference over Amazon Redshift.

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