2803451
Description
Mind Map by Ruth Esperanza S, updated more than 1 year ago
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Created by Ruth Esperanza S
over 9 years ago
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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.
- 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.
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