The Top Most Trending Software Technologies of 2019



Recently, InfoWorld welcomed some of the latest technologies into their annual felicitation ‘Technologies of the Year Awards’, which saw some diversified winners. Out of 17, there were machine learning technologies, an automated platform guiding novices through feature engineering, and even a distributed training framework. Along with these, there were some databases as well. Here is a look at what could be considered as some of the primary Technologies advancements in 2019.

XCEL Corp is an independent provider that uses some of the latest advancements in IT to alter and deploy scalable systems and future-ready systems, to achieve long-term business goals.


Without the requirement of server-side programming, Firebase provides functionalities such as messaging, crash reporting, analytics, etc. so that mobile app teams can construct apps quickly. Trusted by most of the other platforms, Firebase is built on the Technologies Google infrastructure and even meant for the largest apps. It also can scale automatically. On a single platform, Firebase works individually while sharing data and insights so that products can bind and work together better. The platform lets you develop Android apps fast with several in-built services including some analytics. Web applications can be easily constructed as Firebase supports all clients including OS X, Android, and iOS. Control information and synchronize over different applications in real-time since you do not have to stress upon over-provisioning of servers nor do you have to worry about building REST APIs because Firebase stores data, verify users, and implements accessibility rules. One of its primary benefits is that it particularly relates to core technology advancement:
Firebase Real-time Database
Firebase Auth
Firebase Storage
Firebase Crash Report
Firebase App Indexing
Firebase Analytics
Firebase Test Lab for Android
Firebase Cloud Messaging
Firebase Notification
Firebase Remote Config

Powered fully with the help of Firebase, you can even distribute your product especially if your app does not require heavy data processing, and does not contain complex user authentication standards. You can even rewrite codes of a newer application through Firebase. The dynamic content and user data within the application are retrieved and stored from Firebase while the static side of the content remains with the client-side of the code. Firebase does seem like a simple storage solution only for accompanying values and keys. At the same time, it provides consistency just like NoSQL databases, adding more and more features so that it can even double-up as a cloud-based web app. Google is even marketing Firebase as a mobile platform.

Elastic Stack

Users are looking for free-text interface searches within an application that can fix their spelling and even provide automated alternatives. Additionally, they are looking towards highlighted search results that will also show them why such results were returned. With this, incorporating sophisticated search functionalities within your user-facing web application is not a preferred choice. Elastic Stack, with the help of Elasticsearch, Beats, Kibana, and Logstash help provision the exact kind of search requirements and much more. Providing user-facing document search, analytics and a log aggregation that is centrally based, you can even index documents one at a time or in bulk with Elasticsearch. Get fuzzy search, a full-search API, faceted search results and much more while pairing it with another front-end toolkit such as Searchkit and you will get free-text search abilities quickly. Logstash and Beats let you aggregate logs from several separate services and even sends these log lines into a centralized cluster making troubleshooting and analysis easier with Elasticsearch. Thereafter, index it with Kibana, assemble dashboards, build charts and assess the system’s health at a glance. The Elastic Stack is indispensable for today’s web-based projects.


Commonly stylized as K8s, Kubernetes is a system that is used for automating deployment, management, and scaling. Available as an open-source container orchestration system it was originally designed by Google. Consequently, Cloud Native Computing Foundation now maintains it to provide automated operations of containers across hosts. Kubernetes can also be deployed as a service that provides platforms where Clouds offer infrastructure as a service such as IaaS or PaaS. Compatible with several other container tools including Docker, Kubernetes, recently, overhauled its storage to improve its support for Microsoft Azure, and to upgrade to TLS-secured Kubelet Bootstrapping and Container Storage Interface.

Serverless Framework

A free and open-source web framework written in Node.js, Serverless was primarily developed to proffer applications written exclusively on AWS Lambda, which, in turn, belonged to Amazon. Now, the Serverless framework can be deployed to other service providers as well along with associated functions including Microsoft Azure, IBM Bluemix, Google Cloud, and Oracle Cloud, Kubernetes – its Kubeless platform and Webtask. Overall, Serverless can either be used to prepare an entire back-end containing a myriad of lambda functions or it can just be a couple of them to perform smaller tasks. Currently supporting Python runtimes and Node.js, the platform promises further compatibility to Java and other AWS Lambda runtimes. Introduced under the name JAWS sometime in 2015 and initially developed by Austen Collins, the Serverless is maintained by a qualified full-time team.

Though these did not directly affect the consumer, first-generation cloud systems worked entirely with rented servers and tedious hardware duties. But now, the next generation of cloud Technologies has evolved to the extent that it is getting rid of servers (namesake) and is not letting consumers fret over operating system patches and updates.

Upload all your functions into someone else’s software stack to be evaluated by them and you can focus on your own with the help of the Serverless.

DataStax Enterprise

Run massively scalable global data infrastructures with a masterless design that is also ideal for several cloud applications operating with high throughputs. DataStax Enterprise, built on Apache Cassandra, which is an open-source NoSQL distributed platform, makes it easy to deploy and manage while adding improved security and performance, advanced replication and bulk loading facilities, multi-tiered storage, developer studio, in-memory OLTP along with search and analytics. Taking initial inspiration from Google’s Bigtable paper, DataStax Enterprise 6, now, contains several newer features such as DSE Graph, DSE Search, DSE Analytics and much more. Best suited for larger databases that run even into petabytes, the platform has several columns per row and is intended for large-scale applications.

XCEL Corp uses highly advanced tools to integrate scalability and analytics along with other features, into an application. Check with our consultants for options to modernize and promote your organization to higher levels.

You may also like