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new database technogies
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new database technogies
The most prevalent databases in today’s enterprises are relational databases, a recent survey conducted by Unisphere Research, a division of Information Today, Inc., finds 56% of sites running Microsoft SQL Server, making this the leading
- (“2014 DBTA Quick Poll on New Database Technologies,” April 2014.) There are a myriad of requirements in today’s enterprises, and no single database is suitable for all use cases.
- adoop implementations. IT operational data (logs, systems monitoring): IT professionals need databases they can quickly spin up while they are in the midst of writing, testing or deploying code.
- Special projects: Many projects taking place around enterprises are typically led by non-technical business managers and professionals, and thus need to be as simple and intuitive to use as possible.
- Real-time or sub-second processing and response requirements: For lowlatency requirements, such as sensitive financial applications, enterprises are turning to in-memory databases, in which data is sent to random access memory spaces of PCs or servers. In addition
- E nterprises are e n te rin g a new phase of specialization, in w hich d iffe re n t e n te rp rise jo b s call fo r sp e cific databases
- Web applications: Web applications generate a lot of session information, and for this purpose, NoSQL key-value databases may be the best bet, since they are simple and fast, operating close to internet time and quickly handling spikes in usage.
- Testing and pilot projects: As with IT operational data, IT professionals need databases they can quickly call up and deploy. Here, cloud databases are a good match, with as much capacity as needed readily available.
- Peripheral/branch office support: Branch offices typically require smallfootprint databases that synch up with a central data environment, or, conversely, access via the network to a central database.
- Mobile applications: This is the great frontier of data, as more and more local client-side computing is now occurring through smartphones and tablets.
- Peripheral/branch office support: Branch offices typically require smallfootprint databases that synch up with a central data environment, or, conversely, access via the network to a central database.
- Testing and pilot projects: As with IT operational data, IT professionals need databases they can quickly call up and deploy. Here, cloud databases are a good match, with as much capacity as needed readily available.
- Web applications: Web applications generate a lot of session information, and for this purpose, NoSQL key-value databases may be the best bet, since they are simple and fast, operating close to internet time and quickly handling spikes in usage.
- E nterprises are e n te rin g a new phase of specialization, in w hich d iffe re n t e n te rp rise jo b s call fo r sp e cific databases
- Real-time or sub-second processing and response requirements: For lowlatency requirements, such as sensitive financial applications, enterprises are turning to in-memory databases, in which data is sent to random access memory spaces of PCs or servers. In addition
- Special projects: Many projects taking place around enterprises are typically led by non-technical business managers and professionals, and thus need to be as simple and intuitive to use as possible.
- adoop implementations. IT operational data (logs, systems monitoring): IT professionals need databases they can quickly spin up while they are in the midst of writing, testing or deploying code.
- (“2014 DBTA Quick Poll on New Database Technologies,” April 2014.) There are a myriad of requirements in today’s enterprises, and no single database is suitable for all use cases.