Top 7 Big Data Analytics Tools for 2019

by Rahul Som, Guest Contributor

Big Data is paramount to every company and organization irrespective to whether it has access to it because the data is nothing else than the preferences of each and every individual that is using different digital platforms to get their work done. This data can be used by companies to determine demands and preferences in different regions of the world, which in turn helps these companies and organizations to sell more of their goods and services.
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Earlier whatever data that was stored in tangible document files and put in the file cabinets, is now being stored in the digital spaces. And with every second this pile of data keeps on rising, with approximately 2.5 quintillion bytes of new data being created every day.

So it’s really important for every business regardless of being new or old in the market, to analyze this data and use it in their favor. And to analyze and interpret the data, there are really strong and advanced Big Data Analytic tools on the way. Here are 7 Big Data Analytics Tools that are going to dominate 2019:​

1. MongoDB:
MongoDB is basically a document database that helps in querying and indexing all the data with a lot of freedom for a project. It offers ad-hoc queries, indexing and real-time aggregation of all the humongous data that’s been stored so that it can be very easily accessed to analyze in any given circumstances. The core benefit of using this distributed database system is that now horizontal scaling and geographical distribution of data is available to use very easily. With up-gradations that are coming in 2019, the run ad-hoc queries will be done in seconds displaying rich structures of data. A better approach to CRUD is also expected which will make it easier to interact with the data.

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2. Kissmetrics:
In today’s world, a very big factor for bigger sales that is rolled down with different businesses in social media is marketing. Kissmetrics providing substantial data of important consumer segments that are decided with the help of the automation software that comes with it so that marketing can be very cost and time effective. It provides a funnel-based analytics and cohort analytics which are really easy to integrate with the existing tools so that there is no delay in taking actions. Overall, Kissmetrics is one of the best automation integrated software for collecting data for marketing. It’s founded by market guru, Neil Patel, and in 2019, it is going to be much effective with the improved AI (Artificial Intelligence) software that it is going to be equipped with.

3. Oribi:
Every company requires a good and strategic content to engage more and more people and to increase the per-visitor to sales ratio. Oribi is the perfect software for this. It helps in tracking the flow of new visitors to the website and also tracks how people are interacting with the content on the website. It is capable of keeping a record of specific things on the website such as blog posts engagement, sign-ups, downloads as well as unique views. The best part about Oribi is that it is capable of tracking from which part of the world each viewer is, and also how they behave in each page. Oribi helps in optimizing user experience and understanding the biggest source of traffic. However though, in 2019, Oribi will be much better than 2018’s version as it will be equipped with a better system to assess specific metrics and will provide the feedback for the same too.

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4. Quantum Computing:
​Quantum computing has made quite a hype in the market. Big tech companies like Google, IBM, Apple, and Intel are racing against each other to build and launch the first quantum computer ever. Quantum computer coming in the markets will enable users to work more efficiently with the data as enables seamless data encryption, weather prediction, comes with Artificial Intelligence. But there is still a bit of time for the quantum technology based computers to hit the market space. But in 2019, there can be the first quantum computer launched by any of these big tech companies, the question is, who will do it first.

5. Talend:
If there is a requirement for software that works with AI (Artificial intelligence), then Talend is a good software to be considered. It is a Big Data Analytics platform which allows the data to be simplified using Map-Reduce and Spark by generating native code. It also allows smarter data quality with machine learning and natural Language processing. In 2019, it will arrive with a system to simplify ETL and ELT for big data. This will accelerate time for increasing the value of big data projects.

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6. Microsoft HDInsight:
It is known as Windows Azure. Azure HDInsight is a spark service in the cloud. It is one of the most secure data storing platforms in the world. It is especially productive for people like scientists and developers. One of the best features of this software is that it can be integrated with different high productivity applications which provide the scope for smoother working process. Overall it is safe and quality driven data storage. With 2019 on the way, it is going to offer enterprise-grade security and monitoring.

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7. Cassandra:
Cassandra was developed by Facebook to power their inbox search, but now it is used by companies like Twitter, Netflix, eBay, and Reddit. It is performance oriented software as it allows the data to be picked between synchronous and asynchronous replication for each update. It never compromises with the quality of and performance at any given processing situation. Major 2019 up-gradations of Cassandra are; a better-decentralized system, better application scalability, and map reducing support.

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These are the top 7 Big Data Analytics that are going to make noise in the market due to their efficiency and safety in storing data and processing it to make the user experience like never before.

Author bio:
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Rahul Som is a CEO and co-founder of Hopinfirst, one of the top Mobile App development Company which provide best  iPhone app development and Android app development Services. Rahul is passionate about Startups, Technology and management and blogs frequently on the topics.

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