These data science stocks will yield the most profits in 2022
In the past decade, the domain of data science has steadily democratized the emergence of more advanced tools and technologies for crunching through the ever-growing large amounts of data. Data science can mean different things in different roles, but theoretically, it is the extraction of significant insights from the large amounts of data that can provide information to the business strategists about their next move. There are several data science and analytics companies that have significant growth trajectories in this domain and have enabled the evaluation and analysis of big data in an efficient way. In this article, we have listed 10 data science stocks that tech enthusiasts can buy in 2022 as it gains value.
Market cap: US$35.914 billion
MongoDB is one of the top stocks to consider while buying data science stocks. MDB operates a leading, modern, general-purpose database platform. Its database market is one of the largest in the software industry. Currently, it has over 24,800 customers in over 100 countries.
Market cap: US$18.34 billion
Splunk develops and markets software solutions that enable organizations to gain real-time operational intelligence globally. Its software helps capture, index, and correlate real-time data in a searchable repository, which can help generate graphs, reports, alerts, dashboards, and visualizations.
Market cap: US$235.56 billion
Oracle is one of the top big data companies that primarily focus on cloud, hardware and services, and related technologies. The company claims to signify big data with its solutions that facilitate users to manage both traditional and new datasets on a single cloud platform. Its systems also allow users to add data to its systems and use it for future use.
Market cap: US$235.56 billion
IBM is an IT giant that provides services based on several disruptive technologies including big data and data science. The company provides data solutions through its hybrid SQL engine with the Hadoop ecosystem and open-source software such as Apache and Spark that offers flexible and cost-effective measures for data processing and storage.
Market cap: US$11.30 billion
Elastic N.V. delivers technology that enables users to search through structured and unstructured data for a range of consumer and industrial applications. The company primarily offers Elastic Stack, which is a set of software products that ingest and store data from various sources of formats to perform the search, analysis, and visualization of data.
Market cap: US$4.756 billion
Teradata Corporation is a software company that provides database and analytics-related software, products, and services. The company primarily serves its main purposes in three domains, which are business analytics, cloud products, and consulting.
Market cap: US$165.188 billion
SAP is a German multinational software company that is well-renowned for its enterprise resource planning software, designed to help businesses manage operations and customer relations. Its business platform focuses on technology domains like database and data management, application development and integration, analytics, and intelligent technologies.
Market cap: US$7.197 billion
New Relic is a tech company that focuses on serving cloud-based software to help website and application owners track the performances of their services. The company’s SaaS model oversees web and mobile application development operations with real-time support for custom-built plugins to collect arbitrary data.
Market cap: US$4.111 billion
Alteryx provides end-to-end analytics platforms for data scientists and analysts globally. The company’s model management systems allow data scientists and analysts to build teams, manage, design, and deploy predictive analytics models for real-time production applications.
Market cap: US$56.072 billion
This company provides a monitoring and analytics platform for developers, IT operation teams, and business users in the cloud technology domain on a global scale. Datadog’s SaaS platform integrates and automates infrastructure for application performance monitoring and log management to provide real-time observability of the customers’ technology stack.
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