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December 7, 2018

The 10 Coolest New Big Data Technologies and Tools of 2018

By 
Rick Whiting

As the volume of data that businesses try to collect, manage and analyze continues to explode, spending for big data management and business analytics technologies is expected to reach $260 billion by 2022. Here are 10 big data products that caught our attention in 2018.

Managing the Data Tsunami

Ever-increasing volumes of data, new data-generation sources like Internet of Things networks, and the growing use of artificial intelligence and machine learning to manage and analyze all that data are just some of the drivers behind the continuing evolution of big data technology.

Spending on big data and business analytics solutions is expected to hit $166 billion this year, up 11.7 percent from 2017, and continue to grow at a CAGR of 11.9 percent to $260 billion in 2022.

That growth is fueling a continuous stream of startups in the big data technology arena. And it's also pushing more established players to maintain a rapid pace of developing and delivering new and updated big data products.

Here are 10 big data products that debuted in 2018 that caught our attention.

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Periscope Data Engine

Periscope Data, which has enjoyed rapidly growing sales of its flagship analytics platform, launched the Data Engine by Periscope Data in November in a move that expands the company's technology portfolio into the realm of data ingestion and processing.

Collecting, transforming and formatting data prior to using it for business analysis tasks can be complex and time consuming. Periscope Data said the new Data Engine bypasses the most challenging steps in data ETL (extract, transform and load) processes, helping data teams achieve faster data ingestion and query performance for any kind of workload, regardless of concurrency, data volume or query complexity.

Periscope Data said the new technology is the first phase of an extensive next-generation analytics warehouse integration system that the company is building out. Data Engine provides users with a way to ingest and process data on Snowflake Computing or AWS Redshift cloud systems. In coming months the company will add a series of data storage and processing options to the Data Engine system.

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