Over a million developers have joined DZone.
{{announcement.body}}
{{announcement.title}}

Real-World Data in Motion

DZone's Guide to

Real-World Data in Motion

A recent StreamSets user community survey provides key findings on the prevalence of streaming data and mix of traditional and Big Data applications.

· Big Data Zone
Free Resource

Effortlessly power IoT, predictive analytics, and machine learning applications with an elastic, resilient data infrastructure. Learn how with Mesosphere DC/OS.

StreamSets Inc., a provider of data in motion middleware, unveiled results from its first user community survey. The survey provides insights into real-world data movement as reported by more than 100 enterprises across a range of industries from banking to education. Results revealed the StreamSets community uses StreamSets Data Collector™ primarily for integrating streaming and batch data for immediate use in both big data and traditional applications.

Full Stream Ahead

According to the survey, use of streaming data is moving ahead quickly, with 72 percent of respondents using StreamSets Data Collector for streaming applications. Of these, two-thirds (48 percent) are integrating batch and streaming data within their pipelines, while the remaining one-third (24 percent) are streaming only. Twenty-eight percent are employing StreamSets solely for movement of batch data.

Consistent with the use of streaming data, most respondents demanded very quick data consumption, with over one-half (56 percent) requiring analysis of the incoming data within minutes and 15 percent needing analysis performed within seconds of arrival.

For Both Old School and New School Use Cases

In keeping with StreamSets Data Collector’s design as general-purpose data-in-motion middleware, a large majority (84 percent) of responding enterprises use it for big data applications as well as traditional data analysis. Traditional uses include dashboards (88 percent), interactive SQL queries (64 percent), and data warehouse (51 percent). Big data applications include customer insights (50 percent), IoT (23 percent), and cyber security (10 percent).

While it’s no surprise that Hadoop was cited as the most popular destination for data pipeline, search-oriented stores such as Apache Solr and Elasticsearch were also significantly represented (44 percent). Spark shows strong penetration at 26 percent, closing in on NoSQL data stores (28 percent). Traditional databases are used by 32 percent of respondents. Approximately one-half of respondents are moving data into multiple destination types.

Data in the Cloud Reaching Critical Mass

When it comes to the location of the data, cloud environments are used by two-thirds of the enterprises surveyed. Sixty-six percent use StreamSets Data Collector in a public or private cloud while 58 percent use StreamSets Data Collector on premises. Pointing to a hybrid reality, only 12 percent of all enterprises surveyed were performing data movement solely within a public cloud environment. Interestingly, nearly one-quarter (22 percent) of respondents listed cloud data migration as one of their use cases.

“In the 18 months since our launch, we at StreamSets have been humbled by the breadth and inventiveness of our open source community,” said Pat Patterson, Community Champion at StreamSets. “We built our technology for general use and ensured its flexibility so that it could evolve with the big data landscape. We’re delighted to see that play out for our customer community as they re-platform traditional workloads and bring brand-new big data applications online.”

To gain a bit of insight into the personality of our user community, we asked respondents for their favorite AI movie. “The Matrix,” chosen by 30 percent of respondents, was the runaway winner, followed by “Blade Runner” (14 percent) and “The Terminator” (11 percent). Respondents also gave their reasons behind their choice. Some of the more interesting answers included the following:

  • “‘The Matrix,’ [because] it’s open source.”

  • “‘Westworld,’” [because] I like that it showed the robots being maintained and the ops behind the whole thing.”

  • “‘Her,’ [because] I’m already pretty close to dating my computer.”

Learn to design and build better data-rich applications with this free eBook from O’Reilly. Brought to you by Mesosphere DC/OS.

Topics:
big data ,streaming data ,real world data

Opinions expressed by DZone contributors are their own.

THE DZONE NEWSLETTER

Dev Resources & Solutions Straight to Your Inbox

Thanks for subscribing!

Awesome! Check your inbox to verify your email so you can start receiving the latest in tech news and resources.

X

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}