Microsoft Azure Synapse Analytics and Google BigQuery compete in the cloud data warehousing category. Based on feature integration and scalability, Microsoft Azure Synapse Analytics may have the upper hand for enterprise users.
Features: Microsoft Azure Synapse Analytics is known for easy setup, seamless integration with Power BI, and scalability through its Massively Parallel Processing architecture. BigQuery stands out for its storage capabilities, performance speed, and seamless machine-learning integration.
Room for Improvement: Microsoft Azure Synapse Analytics could improve in pricing transparency, interface usability, and better integration with Active Directory. BigQuery's enhancements could include better handling of special characters during data migration, query caching, and more diverse data source integration options.
Ease of Deployment and Customer Service: Microsoft Azure Synapse Analytics offers flexibility with deployment options across public, private, and hybrid cloud environments, although tech support experiences vary. BigQuery is praised for its straightforward deployment in the public cloud, with generally positive experiences with Google's technical support.
Pricing and ROI: Microsoft Azure Synapse Analytics offers a flexible pricing structure but can lead to cost unpredictability, impacting smaller business adoption. However, it shows good ROI through reduced operational costs. BigQuery is reasonably priced, using a pay-as-you-go model based on data usage, but careful cost planning is necessary despite its competitive pricing for large data volumes.
BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.
Microsoft Azure Synapse Analytics is an end-to-end analytics solution that successfully combines analytical services to merge big data analytics and enterprise data warehouses into a single unified platform. The solution can run intelligent distributed queries among nodes, and provides the ability to query both relational and non-relational data.
Microsoft Azure Synapse Analytics is built with these 4 components:
Microsoft Azure Synapse Analytics Features
Microsoft Azure Synapse Analytics has many valuable key features, including:
Microsoft Azure Synapse Analytics Benefits
Some of the benefits of using Microsoft Azure Synapse Analytics include:
Reviews from Real Users
Below are some reviews and helpful feedback written by Microsoft Azure Synapse Analytics users who are currently using the solution.
PeerSpot user Jael S., who is an Information Architect at Systems Analysis & Design Engineering, comments on her experience using the product, saying that it is “Scalable, intuitive, facilitates compliance and keeps your data secure”. She also says "We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."
Michel T., CHTO at Timp-iT, mentions that "the features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."
A Senior Teradata Consultant at a tech services company says, "Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
