9 technologies to be discussed in 2014

Theodora FragkouliJanuary 11th, 2014Last Updated: January 14th, 2014

2 34 2 minutes read

According to 9 technologies for a supercharged 2014 there are a few important technologies that are about to increase programmers’ interest in 2014. Below, they are presented in short:

1. Document databases

Structured storages and document databases have started to step aside, since NoSQL databases and big data solutions like MongoDB and Couchbase have showed up.

2. Key-value stores

Couchbase, Memcached, Infinispan, and GemFire are key-value stores that can be used to create custom cache loader or cache stores to read/write to an RDBMS or another source. They can be very useful when you want to keep large amount of data in memory and even replicate it across the nodes of a cluster.

3. Graph databases

Graph databases such as Neo4j and Apache Giraph have been around for decades, though they have recently started to become popular. Now they can be used for recommendation engines, social networks, geographic analysis and even bioanalytics.

4. Google Drive/Apps

Google Apps have conquered the world of office productivity. Now everything is stored in the cloud and backed by NSA. Moreover, extensibility features mean that as we move to a world where our apps are cloud, we’ll be able to directly integrate our documents with them and vice versa.

5. On-premises search

Elasticsearch and Apache Solr can be used to replace and/or/like queries in SQL. Massive queries in SQL can result to bad performance and composite code. On the other hand Elasticsearch solution is characterized as a Google machine so its worth trying.

6. Platform as a service (PaaS)

PaaS is a virtual instance running an application server with some management and deployment tools in front of it. Either in a public or in a private cloud, Paas can replace all the old steps of having to install each operating system, application server and application and then selecting servers or VM’s to deploy. Paas scales and automates repetitive tasks. Platforms may also include CloudFoundry, CloudBees and OpenShift.

7. Cloud IDEs

With Cloud IDEs, like Codenvy and Cloud9, one can now replace coding on his hard disk IDE by opening a simple browser and start coding.

8. Hadoop

Hadoop will rise even more this year, either for complex analytics with MapReduce jobs, or just for quick log writes. So everyone should and will start up a Hadoop project .

9. Clustered/distributed file systems

Clustered and distributed file systems, like Gluster and HDFS, that can offer scalable storage will be preferred over the typical file systems. Hybrid approaches to file systems will also come up this year.