Database-as-a-Service

To Fuel Digital Transformation

When we talk about databases being consumed as cloud services, we're talking about database-as-a-Service (DBaaS). While this isn't a silver bullet that'll simplify the lives of anyone who requires a database for some task or app development project, DBaaS is not only simply it's very flexible. It has many of the benefits and disadvantages common to other services in the cloud, such as better cost controls on the one hand but more limited features than the on-premises alternative on the other hand.

MongoDB database Features

To Fuel Digital Transformation

Aggregation
Load balancing
Replication
File storage
Server support
Indexing
Ad hoc queries
Language support

Features

To Fuel Digital Transformation

#1 in price and performance—with massive scale

SQL Server consistently leads in the TPC-E OLTP workload, the TPC-H data warehousing workload, and real-world application performance benchmarks. Get record-breaking performance now on Windows and Linux.

Security and compliance

Protect data at rest and in motion with a database that has the least vulnerabilities of any major platform for six years running in the NIST vulnerabilities database (National Institute of Standards and Technology, National Vulnerability Database, Jan 17, 2017). Security innovations in SQL Server 2017 help secure data for mission-critical workloads with a layers of protection security approach, adding Always Encrypted technology along with row-level security, dynamic data masking, transparent data encryption (TDE), and robust auditing.

High availability and disaster recovery

Gain mission-critical uptime, fast failover, easy setup, and load balancing of readable secondaries with enhanced Always On in SQL Server 2017—a unified solution for high availability and disaster recovery on Linux and Windows. Plus, put an asynchronous replica in an Azure Virtual Machine for hybrid high availability.

Corporate business intelligence

Scale your business intelligence (BI) models, enrich your data, and ensure quality and accuracy with a complete BI solution. SQL Server Analysis Services help you build comprehensive, enterprise-scale analytic solutions—benefiting from the lightning-fast performance of in-memory built into the tabular model. Reduce time to insights using direct querying against tabular and multidimensional models.

Simplify data big and small

Combine relational data and big data with PolyBase technology that queries Hadoop using simple T-SQL commands. JSON support lets you parse and store JSON documents and output relational data into JSON files. Now in SQL Server 2017, manage and query graph data inside your relational database.

09

Contact Forms

To Fuel Digital Transformation