Top Google BigQuery Alternatives & Competitors 2026

Reviewed in Last 12 Months

How Alternatives Are Selected

1. SQL Server

4.5

(1977 Ratings)

Our overall experience with Microsoft SQL Server has been consistently positive in enterprise environments that require stability, performance and strong transactional integrity. It has proven to be a reliable relational database platform for both operational systems and reporting workloads. From a development and testing perspective , SQL server provides strong tooling , predictable performance and mature administrative capabilities. It integrates well with enterprise ecosystems and supports structured deployment practices. While newer cloud -native platforms offer additional scalability flexibility , SQL Server continues to deliver dependable performance for structured data systems.

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Better at delivery and execution
Easier to integrate and deploy
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2. MongoDB Atlas

By MongoDB

4.5

(1215 Ratings)

Overall, MongoDB Atlas has been a great experience. It’s very easy to get started with, and the managed aspect takes away a lot of operational overhead. I’ve worked quite a bit with MongoDB Atlas, especially using aggregation pipelines and handling different data models, and it has been quite flexible and powerful for those use cases. The platform performs reliably, and scaling is straightforward. It fits really well for applications where schema flexibility and quick iterations are important. That said, there are still a few areas where things could be improved, especially around cost visibility and query optimization guidance.

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Easier to integrate and deploy

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3. Oracle AI Database

By Oracle

4.5

(1159 Ratings)

As a user of the program, I like the easy-to-use tile system however it takes time to navigate and remember what tile to find things in.

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Easier to integrate and deploy
Better evaluation and contracting

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4. Teradata VantageCloud

By Teradata

4.6

(631 Ratings)

Teradata VantageCloud offers exceptional technology. We are able to use the advanced analytics functions in ClearScape Analytics within the platform without ever moving our data. For my team, keeping the data in one location has enabled my team to eliminate many complex pipelines which required hops between multiple technologies.

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Easier to integrate and deploy
More effective at planning and transition
Better evaluation and contracting

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5. Oracle MySQL HeatWave

By Oracle

4.5

(617 Ratings)

Overall, I have been happy with MySQL since I started using it 5 years ago. One of the nice things about it is that it includes design and development components in one place.

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Better at delivery and execution
More effective at planning and transition

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6. Amazon Redshift

By Amazon Web Services (AWS)

4.4

(551 Ratings)

The experience with Amazon has been great as it helps us with our daily tasks with faster performance with the capabilities it has. The features in Amazon Redshift help day-to-day users make life easy. As it is an Amazon product, it is easy to incorporate with other Amazon services for further use. For example: Using Amazon Redshift to query and get results from complex data, which can later pull the data into Amazon QuickSight SPICE for data visualizations and dashboard building which can help to deliver to end users the data they want to see with real-time refresh.

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Easier to integrate and deploy
More effective at planning and transition

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7. Amazon Aurora

By Amazon Web Services (AWS)

4.6

(477 Ratings)

Aurora is the simplest way of implementing highly available / scalable / performing SQL database within the AWS ecosystem

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8. SAP HANA Cloud

By SAP

4.3

(410 Ratings)

SAP does everything you'd want it to do, but it can be very difficult to learn the ins and outs. It's easy enough once you have proper training, but it's not the most intuitive system, in my opinion. That said, I do like the breadth it covers.

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Where Google BigQuery Scored Higher

Better at service and support
Better at delivery and execution
Easier to integrate and deploy
More effective at planning and transition
Better evaluation and contracting

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Showing Result 1-8 of 154

1. SQL Server

2. MongoDB Atlas

3. Oracle AI Database

4. Teradata VantageCloud

5. Oracle MySQL HeatWave

6. Amazon Redshift

7. Amazon Aurora

8. SAP HANA Cloud

Top Alternatives to Google BigQuery