Google Reviews, Ratings & Features 2026 | Gartner Peer Insights

Gartner defines the market for cloud database management systems (DBMSs) as software products that store and manipulate data and are primarily delivered as platform as a service (PaaS) in the cloud. Cloud DBMSs may optionally be capable of running on-premises or in hybrid, multicloud or intercloud configurations. They can be used for transactional and/or analytical work. They typically persist data using a combination of proprietary and open components in a durable manner, enabling a full range of create, read, update and delete operations. They are used by application end users, designers, developers and operators of large database systems.

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Find the top Cloud Database Management Systems with Gartner. Compare and filter by verified product reviews and choose the software that’s right for your organization.

Cloud Database Management Systems (Transitioning to Cloud Operational Database Management Systems)

Google BigQuery

Cloud Bigtable

Google Cloud Spanner

Google Cloud SQL

Managed Service for Apache Spark

Cloud Memorystore for Redis

Firebase Realtime Database

Cloud Firestore

AlloyDB for PostgreSQL

Google

Data Analyst

BigQuery is the next step in database management. It's a product that stands out among its competitors because of very smart partitioning possibilities and a possibility to easily link it with other Google services.

<50M USD

50M - 250M USD

1B - 3B USD

250M - 500M USD

500M - 1B USD

3B - 10B USD

30B + USD

10B - 30B USD

Gov't/PS/ED <5,000 Employees

Gov't/PS/ED 5,000 - 50,000 Employees

Gov't/PS/ED 50,000 + Employees

Senior Director of Data and Cloud

BigQuery is a powerful tool but support is inconsistent.  They have caught up in the competitive marketplace dramatically in the last few years.

DATA ENGINEER

A great data warehouse product for collating and manipulating data that you can easily feed into other systems.  Constantly evolving with new features and has Gemini now built into it.  Gives you direct access to cloud storage and scheduled queries can be set up to manage and synchronise the movement of data and files.  There is a wealth of documentation and help files and of course Gemini to help people get up to speed and make the most of the product.

Amazon Web Services (AWS)

Microsoft

Oracle

MongoDB

Cloudera

Snowflake

Teradata

Other...

MariaDB

Alibaba Cloud

SQLite

Databricks

Cloudera (Hortonworks)

Couchbase

Huawei

Salesforce

Redis

DataStax

HPE (MapR Technologies)

1010data

SingleStore

Hitachi

Neo4j

Progress Software

BlobCity

Cockroach Labs

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Reviews

Ratings Overview

Overall experience with

Favorable Review

BigQuery BigBusiness BigResults

Critical Review

New Spend Control Features Improve BigQuery, But Support Issues Remain

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