![]() ![]() Azure Synapse Analytics: which is better? Compliance and governanceīigQuery and Azure Synapse Analytics satisfy compliance requirements for HIPAA, ISO 27001, PCI DSS, SOC 1 Type II, and SOC 2 Type II, among others. Microsoft offers a similar approach with what it calls virtual networks. BigQuery allows you to configure a network security perimeter with Google Cloud Platform's Virtual Private Cloud (VPC) Service Controls. Both rely on roles for providing access to resources.īoth data warehouses also provide some measure of network security. BigQuery turns on encryption by default Azure Synapse Analytics does not. You can restore the data warehouse from any snapshot by issuing a restore command.īoth BigQuery and Azure Synapse Analytics use AES encryption on data at rest, and support customer-managed keys. Snapshot storage counts toward storage allotment for billing purposes. You can also manually trigger as many as 42 user-defined snapshots. Administrators can revert changes without having to request a recovery from backups.Īzure Synapse takes automatic snapshots of the data warehouse throughout the day to create restore points that are available for seven days. Administrators can also partition data structures to improve performance and do other kinds of performance optimization.īigQuery maintains a complete seven-day history of changes against its tables. ![]() # Administration, management, maintenanceĮach of these data warehouses lets administrators manage user roles and permissions and data security, but BigQuery imposes less of a burden on administrators' time than Azure Synapse Analytics.īigQuery is "serverless" - compute and storage resources can scale independently, and all scaling issues are handled automatically.įor Microsoft's part, while other Azure services can be set up to autoscale, scaling an Azure Synapse Analytics data warehouse requires administrator attention. You should run benchmarks using your own data, but you'll likely find that both platforms can handle most companies' workloads with excellent performance. Thanks to their ability to scale up and down, both BigQuery and Azure Synapse Analytics perform well under various load levels. Note that cloud providers change their pricing frequently - these rates were in place when this article was written. Unlike Google, Microsoft does not charge per query.ĭata storage is charged at the rate of $122.88 per terabyte per month. Microsoft offers a wide variety of DWUs at prices that range from $1.20 to $360 per hour. DWUs comprise CPU, memory, and IOPS but not storage. Google also charges for data storage at a rate of $20 per terabyte per month.Īzure Synapse Analytics is not a serverless data warehouse Microsoft charges for compute nodes, which it calls data warehouse units ( DWU). That plan starts at $8,500 a month with an annual plan with 500 "flex slots," which are 60-second commitments of dedicated query processing capacity. A flat-rate option lets customers purchase dedicated resources for query processing rather than pay for individual queries. Users are charged for the amount of data their queries scan at a rate of $5 per terabyte of data processed. Its on-demand model uses a query-based pricing model for compute resources. With BigQuery, a serverless data warehouse, you don't have to think about architecture - the platform manages all resources and automates scalability and availability, so administrators don't have to make any decisions about necessary CPU or storage levels.īigQuery has two pricing options. Both platforms take into account both computation and storage, but in different ways. Here we compare these two cloud data destinations along several dimensions:īigQuery and Azure Synapse Analytics bill for usage according to different models. ![]() Comparison criteriaĬonsidering key differentiating factors can help you determine whether BigQuery or Azure Synapse Analytics is a better data warehouse for your business. But each has unique features that could make it better suited to a particular organization's data analytics infrastructure. Azure Synapse Analytics: comparing cloud data warehousesĪmong modern cloud data warehouse platforms, Google BigQuery and Microsoft Azure Synapse Analytics have a lot in common, including columnar storage and massively parallel processing (MPP) architecture. ![]()
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