5 Most Effective Big Data Processing Tools in 2019

Analytics of Big Data is one of the most significant pieces of technology that we’ve got today. 

The scope of this is absolutely gigantic and every other industry is benefitting from this. Especially in the matter of making business decisions, which require thorough analysis of data. 

Now, working with data isn’t a new idea or implementation in any way, and has been around for really long. The difference is in the caliber of data processing tools that we use today. And BigData is the crown jewel of that. 

If you’re looking to find out more about this, as you might want to implement these for your business. Or are just curious for whatever reason. 

Then in this article, I’m going to tell you all that you need to know  in this field. 

And whatever the reason for which you are looking up this information for. You’re going to be able to accomplish that, so check out this list right here. 

5 Premier Big Data Tools and Technologies to Look Out for in 2019 

In this list, you’re going to find out about 5 of the latest and greatest tools and technologies. These are the best ones to go for in 2019, if you want to implement BigData systems for your business. 

Now with this list, I’m not following any particular order with the different tools that I’ve put. Just a line-up of all the best tools and technologies in analytics of Big Data

1. Splice Machine ML Manager 

This is going to be a great tool for optimizing all the models you create for data operations. 

Working from the Splice Machine platform, you’re going to get a combination of a relational database and machine learning system. 

This is going to be really helpful to data scientists overall, but especially the ones working with complex models. As they’re going to be able to work with much more pipelines of data. 

Thus, there’s going to be a lot more opportunities for carrying out testing from the side of businesses. 

2. The Actian Avalanche 

You’ll have to be using a lot of data warehouses and will need good scalability from them. But the truth is that using this will require a good amount of capital. 

Such has been the challenge for most businesses that are using these technological services. 

Actian Avalanche is going to be a good answer to this problem, because of the good affordability of this product. The FlexPath technology that they’ve developed is going to provide a lot of flexibility in the matter of computing resources. 

So, this would be a great commission to your arsenal of data processing tool. 

3. MongoDB 

Talking of the best tools that you can use to work with BigData. You know MongoDB had to come up sooner or later. 

And this rightfully deserves a place on my list or anyone else’s for that matter, for obvious reasons. 

To start with, here’s a 3 of the best things about this particular data processing tool. 

  • Ease of configuration and excellent compatibility with cloud based systems. 
  • You’ll be able to work with any of the different types of data that you might have, thus extremely versatile. 
  • Can be very economic if you set things up the right way. 

Now, different data scientists would prefer using different computer languages for their tasks. Sometimes it can be multiple ones across the board. 

Whatever the case may be, MongoDB is going to allow the use of all of that. As such it is going to make working processes a lot more efficient. 

4. Neo4j 

Representation of data with intricate graphs has been one of the most effective means. 

Neo4j is specifically the tool that you’d want to use for that, with features that it brings to the table. With this you’ll have to use Java, which shouldn’t be a problem considering the scope of that language. 

This has in it, support for ACID transactions, with the Cypher graph query language usability. 

But to point out the best things about this BigData tool, it’s definitely going to be the flexibility and scalability. Qualities that are of enormous importance in this day and age, with the never ending stream of data. 

And finally, you can integrate this system with almost every other database that you might have. 

5. Hadoop 

This one is arguably the most popular among the lot, and is an excellent tool for BigData in every regard. 

Let’s start with what you’d be getting from this. 

  • The Hadoop libraries which is going to open up the gates for sync among different databases. 
  • A brilliant BigData processing model with supreme configurability, called MapReduce
  • Hadoop Distributed File System which is going to give you unparalleled capabilities for working with big bandwidths. 
  • Resource scheduling protocol called YARN which can be really useful throughout your work in this.

Hadoop is going to let you use minimum amount of hardware possible, which can be great for cutting costs.

Thus you’ve got the best tools for all your data processing needs with BigData.