When evaluating Relational Databases Tools, essential aspects include:
Scalability
Performance
Security features
Data backup and recovery options
Integration capabilities
Support and documentation
Scalability ensures the tool can handle growing data needs efficiently. Performance is vital to ensure swift data retrieval and processing. Security features safeguard sensitive data, making encryption and access controls crucial for any organization. Data backup and recovery options help preserve data integrity during unforeseen events. Integration capabilities support seamless connectivity with other tools, facilitating smoother workflows across applications.
Support and documentation are critical, providing guidance on maximizing the tool's capabilities and ensuring reliable customer service. Relational Databases Tools should offer robust community forums and resources to address potential issues and queries efficiently. Integration abilities allow the tool to work with existing systems, making it easier to implement without extensive overhauls or disruptions. Data management efficiency and migration options also contribute to a smooth transition and adaptation process.
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Database Administrator at a energy/utilities company
Real User
2019-12-10T06:19:38Z
Dec 10, 2019
At the first based on my experience we need to calculate software or customer requirements and after that choose the best option. Today all databases have the same options with little difference like Data types, HA, Performance, Security, Backup/Recovery, etc.
for example if you want to design a software with just 5 to 20 users, is that reasonable to use Oracle database service ?
however, from a programmer's point of view evaluating Relational Databases are rated by features like Datatypes, Functions, Index types and etc, DBA's (Database Administrators) vision is different. So my list is
- TCO (Total cost of ownership)
- High Availability Solutions.
- Backup / Restore solutions.
- Performance
- Data Capacity and Security.
- Memory Management.
- Caching
- Inmemory Database, Tablespace, Table.
- 3rd Party software
Database Team Lead at Fibabanka, Oracle ACE Associate with 1,001-5,000 employees
User
2017-02-14T19:13:48Z
Feb 14, 2017
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
Performance, Security, Quiet Easy to Implement the database Solution, Excellent database tools for managing the Database Environment for example Microsoft SQL Server Management Studio.
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.
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
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;
Chief Technical Officer at a tech services company with 51-200 employees
Consultant
2015-09-18T19:25:20Z
Sep 18, 2015
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.
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.
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.
Principal Database Administrator at a energy/utilities company with 501-1,000 employees
Real User
2015-08-08T21:01:42Z
Aug 8, 2015
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
Solutions Designer at a consultancy with 51-200 employees
Consultant
2015-05-11T01:04:48Z
May 11, 2015
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.
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.
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.
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.
Relational Databases Tools efficiently manage and organize data across different fields. They are crucial for maintaining data integrity, supporting complex queries, and ensuring the smooth operation of applications. These tools provide structured methods to store and retrieve data, streamlining business processes.Relational Databases Tools offer robust frameworks for data management, allowing organizations to leverage data-driven decision-making. They support SQL for querying, and their...
When evaluating Relational Databases Tools, essential aspects include:
Scalability ensures the tool can handle growing data needs efficiently. Performance is vital to ensure swift data retrieval and processing. Security features safeguard sensitive data, making encryption and access controls crucial for any organization. Data backup and recovery options help preserve data integrity during unforeseen events. Integration capabilities support seamless connectivity with other tools, facilitating smoother workflows across applications.
Support and documentation are critical, providing guidance on maximizing the tool's capabilities and ensuring reliable customer service. Relational Databases Tools should offer robust community forums and resources to address potential issues and queries efficiently. Integration abilities allow the tool to work with existing systems, making it easier to implement without extensive overhauls or disruptions. Data management efficiency and migration options also contribute to a smooth transition and adaptation process.
Backup and replication options.
At the first based on my experience we need to calculate software or customer requirements and after that choose the best option. Today all databases have the same options with little difference like Data types, HA, Performance, Security, Backup/Recovery, etc.
for example if you want to design a software with just 5 to 20 users, is that reasonable to use Oracle database service ?
however, from a programmer's point of view evaluating Relational Databases are rated by features like Datatypes, Functions, Index types and etc, DBA's (Database Administrators) vision is different. So my list is
- TCO (Total cost of ownership)
- High Availability Solutions.
- Backup / Restore solutions.
- Performance
- Data Capacity and Security.
- Memory Management.
- Caching
- Inmemory Database, Tablespace, Table.
- 3rd Party software
My priorities:
1. Backup and recovery
2. Data security
3. Price
4. Performance
An Oracle logo.
Top in my list
- Performance
- Security
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
The most important is "Solid backup and recovery solution." Imho.
- Capability
- HA
- Security
- Performance
Performance, Security, Quiet Easy to Implement the database Solution, Excellent database tools for managing the Database Environment for example Microsoft SQL Server Management Studio.
Performance, Security, Vendor Support and Price
Definitely Performance, Data mining, easy use.
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.
Modeling features (from physical to business), sql optimization / mdx support, easy of use
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
Scalability and performance, both in relation to volume of data and concurrent queries.
scalability and platforms DBMS runs on
Uniform Syntex
Ease of use
Examples of complex statements or auto creation of queries
If it covers all of the project needs/specifications.
The price.
Vendor support, product track record, scalability, clustering options and security.
First Knowledge of the platform, performance, backup/restore...
Easy integration, fast ,scalability to needs and support for all developer APIs
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;
Performance, ease of use, scalability and support for all developer APIs.
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.
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.
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.
Reliability, scalability, security, performance, ease of management.
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
Vendor support.
performance, scalability & security
Can't answer this blindly. Depends on why I'm researching a relational db technology and what the requirements are.
Performance &
Ability to retrieve as and when required in any format to give valuable insights to business.
Easy for support and use. Set of high availability features.
operational efficiency and simplicity of use and understanding ( set of features ) has a high value in any case.
performance, security, and it allows OO_RDBMS
Wide adoption, Performance, Scalability, Replication, Failover.
1. Performance 2. Ease of using analytic functions 3. Industry hold
Performance and security
Performance.
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.
Performance
Scalability and performance.
Do we actually need any of the 'relational' part or can we leverage an object db or something even more lightweight?
Perfomance
Organised, Relationship establishment between objects, Atomic, Security.
Performance, period. Needs to provide a variety of ways to move and process data quickly leveraging disk, processors, RAM, and IO.
Meets Availability requirement, performance and recovery time objective.
Ease of use is also important as well as utilities to load and unload data.
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.
Ease of use, scalability, and portability.
Performance and more performance. Go hand in hand with the best technologies Disk.
Performance
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.
Scalability, reliability, performance, ease of management and adherence to standards.
Replication, failover and performance.
Reaction to system failure
The most important criterion is whether the DB comes with a mature BI stack.
The metadata and the less "case when" script.
Concurrency control, analytic functions and indexing options
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.