Advanced and real time analytics
Robust security against DDoS
Gets content automatically from an Azure Website or Azure Cloud Service once you set up the integration
New partnership with Akamai
Can handle sudden traffic spikes and heavy loads
Apache Hadoop distribution powered by the cloud A Data Lake service
Scale to petabytes on demand
Process unstructured and semi-structured data Develop in Java, .NET, and more
Skip buying and maintaining hardware
Connect on-premises Hadoop clusters with the cloud
Flexibility to deploy arbitrary Hadoop projects through custom scripts (e.g. R, Giraph, Solr)
Optimized to reduce management and costs
Automatic high availability, disaster recovery, and upgrade
Recommended for organizations managing hundreds or thousands of databases of up to 1 TB in size
Sharding techniques can split data across databases for increased storage
Stretch database with SQL Server 2016
The total amount of data is too large to fit within the constraints of a single database.
The transaction throughput of the overall workload exceeds the capabilities of a single database.
Tenants require physical isolation from each other, so separate databases are needed for each tenant.
Different sections of a database need to reside in different geographies for compliance, performance, or geopolitical reasons.
Stretch database is a feature of SQL Server 2016 that allows you to transparently and securely move cold data, such as closed business data in a large table that contains customer order information, to a SQL Stretch database in Azure. When stretched, the contents of a SQL Server instance, a database, or even a single table is the combination of local data in SQL Server 2016 server and remote data in Azure. Data that becomes eligible for stretch is automatically moved to Azure by SQL Server 2016.
User queries that include the historical data are transparently forwarded to Azure SQL Stretch database. The queries do not need to be re-written, even though the table is stretched.
Stretch database provides a cost-effective option for long-term storage and transparent access to historical data. It also solves performance and availability problems that arise when tables become very large.
Guaranteed low latency, 99.99% availability SLA with limitless, elastic scale of storage and throughput
All data is globally replicated across any number of regions with transparent failover and four well-defined consistency levels
Automatically indexes all your data without requiring schemas or secondary indices
Rich SQL and JavaScript queries and multi-item transactions
Common attributes of Cosmos DB, Azure Table Storage, and Azure SQL Database:
99.99 availability SLA
Fully managed database services
ISO 27001, HIPAA and EU Model Clauses Compliant
The following table shows the uncommon attributes of Azure Cosmos DB, Azure Table Storage, and Azure SQL Database.
Live and video on demand (VOD) delivery with scale
Highly available encoding and streaming
Supports Flash, iOS, Android, HTML5, and Xbox
Studio-certified DRM support
Rich content monetization
Broad ecosystem of pre-integrated partners
Secure, dedicated Redis server with high-availability with data replication and failover managed by Microsoft
Recommended for any app needing high-throughput
Available in sizes up to 530 GB and beyond (with Premium and automatic sharding)
Redis Persistence persists in-memory cached data to Azure Storage
Redis Clustering allows you to achieve maximum scale and throughput
Enhanced security and network isolation with Azure Virtual Network support
SQL Server running as an installed application on an Azure virtual machine
Use a gallery image with SQL Server installed or bring your own SQL Server license
Scalable, enterprise hybrid SAN storage with SSD and HDD in the on-premises hybrid storage array, with cloud storage as an integrated extension of the solution
Inline deduplication, compression, automatic tiering, and encryption unstructured and semi structured data
Automated offsite data protection using cloud snapshots
Highly-efficient, location-independent disaster recovery
Data mobility for enterprise data with StorSimple Virtual Appliance in Azure
Elastic data warehouse that scales to petabytes Up to 32 concurrent queries
Manage large volumes of structured data with fast analytics Dynamically grow and shrink compute in seconds
Supports Transparent Data Encryption
Backed up every 8 hours for 7 days
A hyper-scale repository for big data analytics workloads
A Hadoop Distributed File System for the cloud
No fixed limits on file size
No fixed limits on account size
Unstructured and structured data in their native format
Massive throughput to increase analytic performance
High durability, availability, and reliability (99.9% enterprise-grade SLA and 24/7 support)
Azure Active Directory access control