Our MySQL DBaaS is fully managed and delivers the most efficient and secure platform. Using our bring-your-own-cloud (BYOC) option, we can store and manage your MySQL databases in our hosted cloud on AWS or Azure — or provide the database directly into your cloud environment. We 're getting the IT department free to concentrate on other goals anyway. If you want to run MySQL on your own, our DBaaS self-service enables you to deploy and configure MySQL on AWS or Azure with a click of a button and offers advanced automation and management resources that save valuable time for your team and ensure a productive implementation.

DMS MySQL Dbaas Includes :-

• Automatizing the cloud
• Advanced Health
• MySQL provisioning on request
• Save and Recover
• Easy, user friendly experience
• Surveillance and analytics
• 24x7x365 Support Best In Class
• Sliding operating schedules
• Support for multiclouds
• Compliance of permits

SQL Server as a Service provides a flexible, low-cost solution for running SQL server environments. Benefit from increased Solid State Flash or SAN storage performance for your databases, and the ability to scale up or down resources based on your business needs. Working with your database administrator to ensure that you have the services you need to keep your database up and running smoothly.

Optimize performance with SQL Server as a service

• Reduce operating expenses and manage the cost of your database administrator 's workload by letting
• DMS handle required patches and upgrades.
• Use the economies of pooled cloud resources to deliver more predictable, more efficient budgets.
• Keep your data and software available continuously, freeing you from routine database management.
• Select from a range of cost-effective solutions for disaster recovery.
• Strict adherence to industry expectations with a dedicated virtual server system.
• Access SQL company edition with online indexing, usability, robust data quality and increased safety.

The open source project that created generations of big-data technologies and laid the basis for Hive, Pig and MapReduce, Hadoop is still the option today for workloads that need virtually infinite scalability, a high degree of reliability, and support for a wide range of types of workload.

The open source project that created generations of big-data technologies and laid the basis for Hive, Pig and MapReduce, Hadoop is still the option today for workloads that need virtually infinite scalability, a high degree of reliability, and support for a wide range of types of workload.

DMS offers autonomous Data Platform Implementation of the open-source Apache Hadoop project

• Goes to your choice of popular Cloud infrastructure
• Runs applications in MapReduce, Cascading, Pig, Hive, Scalding and
• Uses the AIR (Alerts, Feedback, Recommendations) capabilities of the software to help data teams concentrate on results, rather than the software
• Cloud Agent technology increases original Hadoop with platform for self-management and self-optimization:
  • Aware Auto-Scaling workload
  • Shopper at location
  • Caching Data
  • Health Officer
• Cloud-optimized for speedier workload:
  • Smarter object storage access for split computation, write batching, pre-fixing and multiple layers of caching, SSD caching
  • The use of Yarn as resource manager enables the use of Hive metastore across engines (Spark, Presto, Hive)
• To integrate easier with existing data sources and tools:
  • Drivers ODBC / JDBC
  • Connectors for the database (MySQL, SQL Server, Oracle DB, RDS, Redshift, Kinesis and several more)
  • Exhaustive dictionary of REST APIs for integration of applications

MongoDB is a paper, NoSQL database that combines consistency, high availability, and automatic scaling to provide ease of implementation. MongoDB allows users to modernize current relational workloads compared to MySQL, by addressing the specifications of new applications while promoting features such as Transactions of multi-document ACID.

Benefits

• DMS Supports on MongoDB

• We address the performance and scalability challenges posed by database architectures head on with unlimited access to MongoDB DBAs and Fanatical Support as an extension of your team.

• On every MongoDB instance, we track 254 metrics / min, and are willing to take action if an warning is triggered.

DMS Supports on MongoDB

• We address the performance and scalability challenges posed by database architectures head on with unlimited access to MongoDB DBAs and Fanatical Support as an extension of your team.
• On every MongoDB instance, we track 254 metrics / min, and are willing to take action if a warning is triggered.

MongoDB : Positive

• Database Management
• MongoDB Explosion
• Scaling & Reviewing questions
• MongoDB Template Schema
• Consultation & Architectural Design
• Output Level Audit Database

SQLite is not directly comparable to client / server SQL database engines such as MySQL , Oracle, PostgreSQL or SQL Server because SQLite is attempting to solve a specific problem. Client / server SQL database engines are seeking to introduce a mutual enterprise data repository. Scalability, competition, centralization, and control are emphasized. SQLite aims to provide the local storage of data for individual applications and computers. SQLite emphasizes economics, efficiency , reliability, autonomy and simplicity. SQLite does not clash with databases on client / server. SQLite competes against fopen).