Streaming data is a bit more difficult to handle and each service handles it differently.Īmazon Kinesis collects, processes, and analyzes streaming data and includes the Kinesis Firehose feature to stream data into Redshift. Data ingestionīoth data warehouses support batch data ingestion in similar ways. You can sign up for the service, access the web UI or REST API, and start querying. BigQuery is serverless, with no need to allocate resources. Google’s approach is more like software-as-a-service (SaaS). Customers have to be responsible for some capacity planning and must provision compute and storage nodes on the platform. Amazon's approach is akin to infrastructure-as-a-service (IaaS) or platform-as-a-service (PaaS). Google Cloud DLP service supports BigQueryĪmazon and Google take significantly different approaches to delivering their services. Inherits security features of Google Cloud Platform Inherits security features of Amazon Web ServicesĪWS data loss prevention (DLP) service, Macie, does not support Redshift User configures infrastructure, periodic management tasks required Think about the following features when evaluating Redshift and BigQuery. When comparing Redshift and BigQuery, the devil is in the details – the features, capabilities, and underlying architecture. Sign up for free → Contact Sales → Features: Redshift vs. If you can't run your own, look for benchmark test results that closely mirror your environment. Benchmark testing provides useful information, but it's most useful if you're doing your own testing. It may also be helpful to look at third-party benchmark results, but keep in mind that what performed well in a third-party benchmark test may not perform well in your environment. The free trial limits may not allow organizations to simulate a production environment, but the limited resources available during a trial can still be useful for comparative benchmarking. Redshift provides 750 hours per month for two months for free, during which businesses can continuously run one DC2.Large node with 160GB of compressed SSD storage.īigQuery has two free tiers: one for storage (10GB) and one for analysis (1TB/month). Both Redshift and BigQuery offer free trial periods during with customers can evaluate performance, but they impose limits on available resources during trials. The test environment should mirror the production environment. This may be unrealistic, however, so some test queries may serve as a representative sample of a larger set. Ideally, evaluators would define and test the types of queries likely to be run by all business units. In most organizations, multiple business units query the data warehouse. The questions sound simple, but getting useful answers can be a complex process.
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