2014-12-09 11:35:00 UTC

When evaluating Relational Databases, what aspect do you think is the most important to look for?

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5757 Answers
Real UserTOP 10

An Oracle logo.

2019-05-21 13:53:58 UTC21 May 19

Top in my list
- Performance
- Security

2018-09-24 08:04:50 UTC24 September 18
Real User

Backup and replication options.

2015-01-16 19:35:01 UTC16 January 15

- Capability
- HA
- Security
- Performance

2019-10-10 20:38:25 UTC10 October 19

Performance, Security, Quiet Easy to Implement the database Solution, Excellent database tools for managing the Database Environment for example Microsoft SQL Server Management Studio.

2017-12-08 03:07:11 UTC08 December 17
Real UserTOP 20

Performance, Security, Vendor Support and Price

2017-10-21 21:58:41 UTC21 October 17

Definitely Performance, Data mining, easy use.

2017-09-13 15:14:00 UTC13 September 17

A single reason is not enough, we can rank the following reasons:

- Operational Performance (OLTP, DWH - ETL)
- Relate to hardware such as disk (storage), memory, cpu and how well they can use them
- Data Capacity
- Data Security
- Application Support
- Vendor Support

2017-02-14 19:13:48 UTC14 February 17

We should evaluate mainly performance of the database as well as pricing of the database.

- If you want to host application which has small amount of data and does not have secure content in it you can go for open source databases.
- vice versa, if your data has secure or critical contents in it then we should consider security features of database as well.
- one more important feature we need to consider now a days is parallel distribution/parallel computing feature e.g. Postgresql / greenplum has this feature.

2016-01-24 11:10:06 UTC24 January 16
Real UserTOP 5

Modeling features (from physical to business), sql optimization / mdx support, easy of use

2016-01-11 09:58:37 UTC11 January 16
ConsultantTOP 5

mainly the performance. For RDBMS you would not be having any performance issue. But when it comes for data loading, RDBMS would not be a good take. This of an MPP where the data is spread accross segments

2016-01-06 10:43:25 UTC06 January 16
Real User

Scalability and performance, both in relation to volume of data and concurrent queries.

2015-12-15 15:39:54 UTC15 December 15
Real User

scalability and platforms DBMS runs on

2015-11-19 18:37:56 UTC19 November 15
Real UserTOP 10

Uniform Syntex
Ease of use
Examples of complex statements or auto creation of queries

2015-11-18 13:32:51 UTC18 November 15
Real User

If it covers all of the project needs/specifications.
The price.

2015-10-15 12:08:57 UTC15 October 15

Vendor support, product track record, scalability, clustering options and security.

2015-10-08 04:02:32 UTC08 October 15
Real User

First Knowledge of the platform, performance, backup/restore...

2015-10-07 20:13:07 UTC07 October 15
Real User

Easy integration, fast ,scalability to needs and support for all developer APIs

2015-10-04 07:18:50 UTC04 October 15

only one reason as of today, that is transactional atmoicity, don't see any other; you open source them with light versions and see the miracles; graph databases are evolving and once there cn be a better fit not just for social as they are today;

2015-09-22 14:13:26 UTC22 September 15
UserTOP 20

Performance, ease of use, scalability and support for all developer APIs.

2015-09-18 21:48:25 UTC18 September 15
UserTOP 10

There's no "most important" criteria when choosing a tool, and a RDBMS is just a tool. If you're running Twitter, then the key factor is performance. If you're running a small medical clinic software, then you need data integrity above the others.

2015-09-18 19:25:20 UTC18 September 15

The most important criteria for our customers at NuoDB is that our distributed SQL database has a flexible deployment model that allows them to run the database on a single server machine, across machines in a data center or public cloud, and even on a global basis (across multiple data centers) without having to architect a new solution for each use case.

2015-08-30 08:15:16 UTC30 August 15
Real UserTOP 10

Scalability, performance and Business Intelligence capability from ETL to warehousing and analytics. Also how well the database solution can be leveraged in an enterprise development organization. There are many more options these days but not from a mature development to deployment and maintenance standpoint.

2015-08-12 20:32:33 UTC12 August 15
Real User

Reliability, scalability, security, performance, ease of management.

2015-08-12 18:00:38 UTC12 August 15
Real UserTOP 20

The RDBMS that are known for its Scalability, Availability and its OLTP performance. However am exploring its Analytical functional capabilities. I have been using Sybase IQ EDW. its serves the purpose now. However moving towards building an Enterprise Data Warehouse –Data Lake, researching about MSSQL DW 2014

2015-08-08 21:01:42 UTC08 August 15
Real User

Vendor support.

2015-08-05 20:16:34 UTC05 August 15
Real User

performance, scalability & security

2015-08-03 15:40:51 UTC03 August 15
Real User

Can't answer this blindly. Depends on why I'm researching a relational db technology and what the requirements are.

2015-07-28 18:45:39 UTC28 July 15
Real UserTOP 20

Performance &

2015-07-23 09:17:33 UTC23 July 15
Real User

Ability to retrieve as and when required in any format to give valuable insights to business.

2015-06-19 13:38:11 UTC19 June 15
Real User

Easy for support and use. Set of high availability features.

2015-06-17 21:33:02 UTC17 June 15
Real User

operational efficiency and simplicity of use and understanding ( set of features ) has a high value in any case.

2015-06-17 18:15:48 UTC17 June 15
Real User

performance, security, and it allows OO_RDBMS

2015-06-11 03:19:22 UTC11 June 15
Real User

Wide adoption, Performance, Scalability, Replication, Failover.

2015-06-06 17:49:48 UTC06 June 15
Real User

1. Performance 2. Ease of using analytic functions 3. Industry hold

2015-06-01 08:01:31 UTC01 June 15
Real User

Performance and security

2015-05-28 16:04:01 UTC28 May 15


2015-05-11 17:39:07 UTC11 May 15
Real User

Existing organisational capabilities. e.g; introducing Oracle to a team already skilled in MSSQL would likely be a mistake. Beyond that, I haven't 'researched' RDBMSs for some time. The choice is usually clear for me. MSSQL, MySQL or Postgres.

2015-05-11 01:04:48 UTC11 May 15


2015-04-30 06:26:16 UTC30 April 15

Scalability and performance.

2015-04-07 16:42:56 UTC07 April 15
Real User

Do we actually need any of the 'relational' part or can we leverage an object db or something even more lightweight?

2015-04-03 11:17:44 UTC03 April 15
Real User


2015-03-21 13:36:55 UTC21 March 15
Real User

Organised, Relationship establishment between objects, Atomic, Security.

2015-03-13 09:55:24 UTC13 March 15
Real User

Performance, period. Needs to provide a variety of ways to move and process data quickly leveraging disk, processors, RAM, and IO.

2015-03-10 15:31:40 UTC10 March 15

Meets Availability requirement, performance and recovery time objective.
Ease of use is also important as well as utilities to load and unload data.

2015-03-01 11:02:15 UTC01 March 15
Real User

Compatibility. If the database engine doesn't work well with the software you want to use it with, the rest of the features just don't matter. After that, performance and scalability.

2015-02-28 17:56:07 UTC28 February 15
Real User

Ease of use, scalability, and portability.

2015-02-27 20:19:57 UTC27 February 15
Real UserTOP 10

Performance and more performance. Go hand in hand with the best technologies Disk.

2015-02-09 17:05:38 UTC09 February 15
Real UserTOP 20


2015-02-08 05:41:01 UTC08 February 15
Real User

The data bases footprint in the current market. For example I am reviewing things. MS Access has been a relational database I thought had a footprint and a future. The stuff I read online about the 2013 upgrade and Office 365 have me thinking maybe my ideas need to shift to something else.

2015-01-28 03:49:48 UTC28 January 15
Real User

Scalability, reliability, performance, ease of management and adherence to standards.

2015-01-27 16:50:22 UTC27 January 15

Replication, failover and performance.

2015-01-19 22:19:32 UTC19 January 15
Real User

Reaction to system failure

2015-01-16 14:24:38 UTC16 January 15
Real User

The most important criterion is whether the DB comes with a mature BI stack.

2015-01-15 16:24:15 UTC15 January 15
Real User

The metadata and the less "case when" script.

2015-01-12 15:19:35 UTC12 January 15
Real User

Concurrency control, analytic functions and indexing options

2014-12-24 05:08:17 UTC24 December 14
Real User

Ease of use as for uniformed command line and syntax, JOIN performance and features to be able to create sub join / sub view. Community support and widespread use. Availability on documents and technical know - how.

2014-12-23 06:17:44 UTC23 December 14
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