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BDaaS: What is Big Data as a Service?
With big data becoming an increasingly important part of business, it's no wonder that so many people are looking for ways to manage it.
06:42 30 June 2022
Do you ever feel like you're swimming in data? It seems like every day, we create more and more of it. And that's just the stuff we consciously generate! With big data becoming an increasingly important part of business, it's no wonder that so many people are looking for ways to manage and make use of all this information.
What is big data as a service? This is a question that more and more businesses are asking as they try to figure out how to take advantage of big data. Big data is a term that is used to describe the large volume of data that is being generated by businesses and consumers today. As big data grows, it becomes more difficult for businesses to store, manage, and analyze this data on their own. That's where big data as a service comes in. BDaaS providers offer businesses the ability to store, manage, and analyze their big data using the provider's infrastructure and tools. In this blog post, we'll define BDaaS and discuss some of the benefits it can offer businesses big and small.
Benefits of BDaaS
Businesses of all sizes are under pressure to do more with less. They need to find ways to be more agile and respond quickly to changing market conditions. BDaaS provides a robust, scalable and secure infrastructure for storing, processing and managing data. It gives businesses the flexibility to scale up or down as needed, without having to make costly upfront investments in hardware and software. And because big data is delivered as a service, businesses can pay only for the resources they use, which helps to keep costs down.
Big data as a service offers the following benefits to users:
- Reduced complexity
- Easier scalability
- Increased flexibility
- Potential cost savings
- Stronger security
Key elements of BDaaS offerings
The following are just a few of the many prominent big data as a service providers:
- Amazon EMR from Amazon Web Services (AWS)
- Google Cloud Dataproc
- Microsoft's Azure HDInsight.
The rival Big Data as a Service (BDaaS) platforms provide distinct mixtures of open source big data software. The Hadoop distributed processing architecture, Spark processing engine, Hive data warehouse software, and Python, R, and Scala programming languages are all common core technologies.
BDaaS market trends
The big data as a service market is expected to grow at a compound annual growth rate of 28.8% from 2018 to 2023, according to a report by MarketsandMarkets. This growth is being driven by the increasing demand for data-driven insights and the need for real-time data analytics.
Users can now install the AWS, Google, and Microsoft platforms in their own data centers as well as other on-premises locations thanks to increased support for running big data services on each vendor's hybrid cloud platform: AWS Outposts, Google Anthos, and Azure Stack, respectively. Organizations may use those technologies to create private clouds or combine public cloud.
All three offered solutions have linked their BDaaS platforms to Kubernetes services, allowing businesses to use the prevalent container management framework to build containerized big data applications that may assist with simplifying deployments, optimizing infrastructure administration, and conserving system resources.
AWS, Google, and other BDaaS providers have lately emphasized Spark and other technologies over Hadoop, which was once at the forefront of their offerings and the big data ecosystem as a whole. That indicates a more significant downfall in Hadoop's position versus Spark as a batch processing engine, even if HDFS and Hadoop's YARN resource manager continue to function as essential big data storage and cluster management components.
Big Data as a Service Market Size Worth $51.9 Billion By 2025
BDaaS will reach $51.1 billion by 2025 with a CAGR of over 38% over the forecast period. This prediction comes from a study by Grand View Research, Inc. Here are the key suggestions from the report.
- The worldwide market is anticipated to expand significantly over the next five years owing to the growing need for structured data for analysis and long-term data retention.
- The hybrid cloud segment is anticipated to post a compound annual growth rate (CAGR) of more than 40% throughout the period.
- With significant government funding to support big data projects in the U.S. and high e-commerce penetration in North America, the region has a large share of the BDaaS market.
- Thanks to high smartphone and Internet penetration in Brazil and Mexico, the APAC market is expected to grow significantly throughout the forecast period.
- Amazon, IBM and Dell are among the leading Big Data as a Service players looking to expand the market and attract new customers through acquisitions.
According to all forecasts, the volume of big data will only grow. At this point, new big data providers are entering the market that can meet the demand of large enterprises.
There's a lot to say about Big Data. Today we have reviewed only a small amount of relevant information on the topic. If that is not enough for you, you can always consult primary sources and analyze reports from major companies, as well as articles from leading analysts.