Amazon RDS

Amazon RDS

Amazon
SQL Server

SQL Server

Microsoft
+
+

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About

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need. Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. You can use the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS.

About

Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Not Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

DevOps teams, developers, system administrators, etc.seeking a tool to set up, operate, and scale a relational database in the cloud

Audience

Any business and organization seeking a solution to manage their cloud operations

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$0.01
Free Version Not Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 4.3 / 5
ease 4.3 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 4.5 / 5
ease 4.5 / 5
features 4.5 / 5
design 5.0 / 5
support 4.5 / 5

Pros & Cons from Real Users

Pros

  • Reliable database. Highly available. Supports a variety of db - My, Postgre, Maria, Oracle, Ms. Works great with Amazon Aurora. Great security policies. Available as a part of free tier (750 hours per month usage).
  • Amazon RDS is a relational database service. It is a part of AWS Stack and integrates well with other services.It is a reliable and powerful service with a lot of configuration options for advanced users. It is a part of free tier which allows limited free usage for first year.
  • Easy to set up with minimal configuration. Managed service. Multi zone presence leads to high availability. Scalable based on demand. Automated patching and backups. CloudWatch integration - Better monitoring.

Cons

  • Initial setup and data migration is complex - the process should be streamlined for new users. Expensive.
  • It is easy to use once setup But the setup itself is a bit complicated and not beginner friendly. Also pricing scales pretty quickly for db intensive operations like frequent updation.
  • Limited for advanced users as no direct access to underlying server.

Pros & Cons from Real Users

Pros

  • SQL server offers enough security to be able to perform reliable transactions, where you can work with all kinds of procedures previously saved for SQL. In terms of relational databases, SQL server allows the inclusion of relational data licenses within multidimensional groups, which at the level of analysis makes things much easier. Recommended because you can work with up to 6 different types of licenses, so the number of clients that can be added to the platform is huge depending on the size of the company. For example, the Enterprise plan is usually around 25,000, but offers a very large number of servers to work with.
  • The interoperability that Microsoft SQL server brings serves to create a complete network in which databases are properly secured and at the same time can be edited by specific employees. Microsoft SQL server provides the user with the possibility of transporting large amounts of data of different types through the cloud. Our professional recommendation is that, if you choose to work with Microsoft SQL server, you should purchase the standard version, since it has all the features of software such as MySQL and Sybase ASE in terms of support for procedures and work in server mode, which would be enough to obtain promising results.

Cons

  • When working with pages simultaneously, there is a limit on the number of connections that can be carried out, and it has many restrictions that end up affecting the page editing level. For example, the size of the pages is impossible to edit, which leads to a somewhat poor view of the page in terms of size (it looks very small), as well as remaining static.
  • The Microsoft SQL server platform does not support the ability to manage Canvas scripts directly from the development data lists being used (specifically HTML) so adding Canvas code to that language is useless if the content is to be transported through Microsoft SQL server. The variety of DDL commands that Microsoft SQL server allows to implement is a bit small, which ends up limiting the work to only using DML commands.

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/rds/

Company Information

Microsoft
Founded: 1975
United States
www.microsoft.com/en-us/sql-server/

Alternatives

Alternatives

RaimaDB

RaimaDB

Raima
Amazon EC2

Amazon EC2

Amazon
Apache HBase

Apache HBase

The Apache Software Foundation
RaimaDB

RaimaDB

Raima

Categories

Categories

Database Features

Backup and Recovery Supported
Creation / Development Supported
Data Migration Supported
Data Replication Supported
Data Search Supported
Data Security Supported
Database Conversion Not Supported
Mobile Access Supported
Monitoring Supported
NOSQL Not Supported
Performance Analysis Supported
Queries Supported
Relational Interface Supported
Virtualization Supported

RDBMS Features

Backup Supported
Data Migration Supported
Monitoring Supported
Performance Analysis Not Supported
Queries Not Supported
Storage Optimization Supported

Database Features

Backup and Recovery Supported
Creation / Development Supported
Data Migration Not Supported
Data Replication Not Supported
Data Search Not Supported
Data Security Supported
Database Conversion Not Supported
Mobile Access Supported
Monitoring Not Supported
NOSQL Supported
Performance Analysis Not Supported
Queries Not Supported
Relational Interface Not Supported
Virtualization Not Supported

Relational Database Features

ACID Compliance Supported
Data Failure Recovery Supported
Multi-Platform Supported
Referential Integrity Supported
SQL DDL Support Supported
SQL DML Support Supported
System Catalog Supported
Unicode Support Supported

Business Intelligence Features

Ad Hoc Reports Supported
Benchmarking Supported
Budgeting & Forecasting Supported
Dashboard Not Supported
Data Analysis Supported
Key Performance Indicators Not Supported
Natural Language Generation (NLG) Not Supported
Performance Metrics Supported
Predictive Analytics Not Supported
Profitability Analysis Not Supported
Strategic Planning Not Supported
Trend / Problem Indicators Not Supported
Visual Analytics Not Supported

SQL Server Features

CPU Monitoring Supported
Credential Management Supported
Database Servers Supported
Deployment Testing Supported
Docker Compatible Containers Supported
Event Logs Supported
History Tracking Supported
Patch Management Supported
Scheduling Supported
Supports Database Clones Supported
User Activity Monitoring Supported
Virtual Machine Monitoring Supported

Integrations

AimBetter Supported
Amazon Q Supported
Amazon Q Business Supported
Bold BI Supported
Centreon Supported
Data Virtuality Supported
Dataedo Supported
Gravity Data Supported
Integrate.io Supported
JackDB Supported
Lyftrondata Supported
New Relic Supported
ProxySQL Supported
SQL Inventory Manager Supported
SQL Secure Supported
Salesforce Data 360 Supported
Senzing Supported
TapData Supported
Truedat Supported
eRAG Supported

Integrations

AimBetter Supported
Amazon Q Supported
Amazon Q Business Supported
Bold BI Supported
Centreon Supported
Data Virtuality Supported
Dataedo Supported
Gravity Data Supported
Integrate.io Supported
JackDB Supported
Lyftrondata Supported
New Relic Supported
ProxySQL Supported
SQL Inventory Manager Supported
SQL Secure Supported
Salesforce Data 360 Supported
Senzing Supported
TapData Supported
Truedat Supported
eRAG Supported
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