Yes. It is a safe option that reduces the likelihood of performance problems due to excessive parallelism, while still allowing queries to execute faster by using more threads. At least 1 HA secondary replica and the use of zone-redundant or geo-zone-redundant storage is required for enabling the zone redundant configuration for Hyperscale. No. Read-only compute nodes in Hyperscale are also available in the serverless compute tier, which automatically scales compute based on workload demand. No. In these scenarios, data is usually stored in a normalized form, meaning it is structured into multiple tables with relationships between them. Elastic Pools aren't currently supported with Hyperscale. You can also scale a database in the tens of terabytes up or down within minutes in the provisioned compute tier or use serverless to scale compute automatically. These two modules ARE NOT equal in all cases. As SQL DW handled the warehousing, the Synapse workspace expanded upon that and rounded out the analytics portfolio. They do not impact user workloads. Learn more here: Enable CDC. Understand Synapse dedicated SQL pool (formerly SQL DW) and Serverless It will help simplify the ETL and management process of both the data sources and the data destinations. This PaaS technology enables you to focus on the domain-specific database administration and optimization activities critical to your data. Yes. And Azure Synapse Analytics is optimized for complex querying and analysis. If you need more, you can go for the hyperscale service tier which can go up to 100TB. 4 10.2 GB/vCore is available with premium-series memory optimized hardware (preview). Share Improve this answer Follow answered May 14, 2020 at 23:03 Ron Dunn 2,911 20 27 Microsoft Azure SQL Database X. Microsoft Azure Synapse Analytics X. Support a database of up to 75 TB. Offers serverless options for intermittent and unpredictable usage scenarios. Choosing your Data Warehouse on Azure: Synapse Dedicated SQL Pool vs Circa 2016, Microsoft adapted its massively parallel processing (MPP) on-premises appliance to the cloud as Azure SQL Data Warehouse or SQL DW for short. As an alternative to provide fast load, you can use Azure Data Factory, or use a Spark job in Azure Databricks with the Spark connector for SQL. Multiple data files may grow at the same time. Hyperscale is for Azure SQL and Managed Instance. This is where cloud-based data storage solutions like Azure Synapse Analytics and Azure SQL Database come into play. The upgrade or migration path described above is connected to a Synapse workspace. Azure SQL Database maintenance window is currently not supported for premium-series and memory optimized premium-series. Comparing key differentiating factors can help you make an informed decision. This avoids poor read performance on secondary replicas and long recovery after failover to an HA secondary replica. Backups are managed by the storage subsystem, and leverage storage snapshots. Be optimized for online transaction processing (OLTP). It is an ideal solution for transactional workloads such as online transaction processing (OLTP) and line-of-business (LOB) applications. Since Hyperscale architecture utilizes the storage layer for backup and restore, processing burden and performance impact to compute replicas are significantly reduced. tempdb size is not configurable and is managed for you. Temporary tables are read-write. To align with the new architecture, the pricing model is slightly different from General Purpose or Business Critical service tiers: The Hyperscale compute unit price is per replica. One of the main key features of this new architecture is the complete separation of Compute Nodes and Storage Nodes. No, as named replicas use the same page servers of the primary replica, they must be in the same region. When Synapse Analytics was released, it came with a different PowerShell module of Az.Synapse. Some Azure SQL Database features are not supported in Hyperscale yet. Analytics capabilities are offered through SQL pool or SQL on-demand (preview) (Serverless). Snowflake VS Azure Synapse | 7 reasons why you should choose Snowflake In effect, database backup in Hyperscale is continuous. The storage format for Hyperscale databases is different from any released version of SQL Server, and you don't control backups or have access to them. Azure SQL DW was rebranded as Dedicated SQL pool (formerly SQL DW) with intention to create clear indication that the former SQL DW is in fact the same artifact that lives within Synapse Analytics. Every SQL Server Standard core can map to 1 Hyperscale vCores. Back up and restore operations for Hyperscale databases are file-snapshot based. a hardware failure on the primary replica), the system uses a high-availability replica as a failover target if one exists, or creates a new primary replica from the pool of available compute capacity. April 27th, 2023. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. For example, you may have eight named replicas, and you may want to direct OLTP workload only to named replicas 1 to 4, while all the Power BI analytical workloads will use named replicas 5 and 6 and the data science workload will use replicas 7 and 8. Snowflake vs Azure SQL Database Comparison With Hyperscale, you get: The Hyperscale service tier is available in all regions where Azure SQL Database is available. Part of the Azure SQL family of SQL database services, Azure SQL Database is the intelligent, scalable database service built for the cloud with AI-powered features that maintain peak performance and durability. Synapse provides a highly scalable and flexible platform for storing and processing large volumes of data. The time to replay changes will be shorter if the move is done during a period of low write activity. In the Hyperscale tier, you're charged for storage for your database based on actual allocation. Azure Synapse Analytics provides more extensive security features than Azure SQL DB. logical diagram, for illustration purposes only. If you've already registered, sign in. Long-term backup retention for Hyperscale databases is now in preview. If you are running data analytics on a large scale with complex queries and sustained ingestion rates higher than 100 MB/s, or using Parallel Data Warehouse (PDW), Teradata, or other Massively Parallel Processing (MPP) data warehouses, Azure Synapse Analytics may be the best choice. You need to design the database architecture to meet the following requirements: Support scaling up and down. Dedicated SQL pool and serverless SQL pool are analytics runtimes of Azure Synapse Analytics. Although Azure SQL Database can handle real-time analytics, it isnt an ideal choice because it primarily focuses on transaction processing rather than analytical workloads. The Hyperscale service tier is only available for single databases using the vCore-based purchasing model in Azure SQL Database. No. The RPO for point-in-time restore is 0 min. I'm trying to understand the roadmap for Azure SQL DW Hyperscale now that Microsoft has branded Azure SQL DW as Synapse. There is a subtle difference which is noticed from the toast that pops up in the portal. Users may adjust the total number of high-availability secondary replicas from 0 to 4, depending on availability and scalability requirements, and create up to 30 named replicas to support a variety of read scale-out workloads. Generated transaction log is retained as-is for the configured retention period. At restore time, relevant transaction log records are applied to restored storage snapshots. There is no Azure SQL DW Hyperscale, sorry, it never existed. However, Hyperscale log architecture provides better data ingest rate compared to other Azure SQL Database service tiers. In the latter case, downtime duration is longer due to extra steps required to create the new primary replica. Data Wrangling vs ETL: 5 Pivotal Differences, Importance of Data Transformation in Business Process, Azure Synapse Link: 5 Crucial Aspects You Need to Know. Looking for job perks? work like any other database in Azure SQL Database. The extent of downtime due to the primary replica becoming unavailable depends on the type of failover (planned vs. unplanned), whether zone redundancy is configured, and on the presence of at least one high-availability replica. Many factors play into big platform upgrades, and it was best to allow customers to opt-in for this. The key components are Synapse SQL pools, Spark, Synapse pipelines and studio experience. Yes. Azure Synapse Analytics is an evolution of Azure SQL Data Warehouse into an analytics platform, which includes SQL pool as the data warehouse solution. For Hyperscale-specific storage diagnostics, see SQL Hyperscale performance troubleshooting diagnostics. Full recovery model is required to provide high availability and point-in-time recovery. Azure Synapse Centric: Microsoft designs, build and operate data centres in a way that strictly controls physical access to the areas where your data is stored. However, at a given point in time data latency and database state may be different for different secondary replicas. Hope this helps. Rapid scaling up of compute, in constant time, to be more powerful to accommodate the heavy workload and then scale down, in constant time. Otherwise, register and sign in. Transaction log throughput cap is set to 100 MB/s for any Hyperscale compute size. Both Azure Synapse Analytics and Azure SQL Database offer automatic backups, but there is a difference in the backup retention periods they provide. Scaling up or down in the provisioned compute tier typically takes up to 2 minutes regardless of data size. Pricing - Azure SQL Database Single Database | Microsoft Azure No. The maximum amount of memory that a serverless database can scale-up is 3 GB/vCore times the maximum number of vCores configured as compared to more than 5 GB/vCore times the same number of vCores in provisioned compute.