Over the past decade, big data has been considered as an invaluable resource for streamlining and optimizing the global manufacturing industry. Big data plays an important role in processes, such as manufacturing planning, warranty analysis, and supply chain intelligence. Technological developments have led manufacturers to harness machine-to-machine systems, various mobile apps, and cloud services, and this has extended their reach to the emerging markets. The digital transformation in the manufacturing industry vertical is said to have largely influenced the growth of big data. The significant growth in big data in the manufacturing industry vertical has encouraged manufacturers to implement big data security solutions and services in order to protect the data. With the advent of Industrial Internet of Things (IIoT), big data security solutions are in high demand to protect the information related to the manufacturing industry vertical. The Global State of Information Security Survey found that three-quarters of the manufacturing companies identified security incidents in 2016. These included stolen or compromised employee records, personal information about customers and partners, internal records, and soft IP.

Big Data Security Solutions in Manufacturing

Comparing 25 vendors in Big Data Security Solutions across 106 criteria.
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3.7
IBM offers the IBM Security Guardium Big Data Intelligence to the big data security market. IBM Security Guardium Big Data Intelligence offering helps prevent unauthorized access to data and alerts users about the changes or the leak of data that are caused anonymously, which helps maintain the integrity of data. Further, it also automates the compliance control and protects data against any internal or an external threat. The IBM Security Guardium Big Data Intelligence is designed to address a full-range of security needs, from constantly monitoring and formulating real-time security policies, to ensuring protection of data across enterprises, without impacting the performance and source of data.
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Oracle delivers unique big data security solutions that adhere to the legacy systems for data processing and management. Oracle's business data solutions address a range of customer requirements that include business analytics solutions; quick processing of data; and social cloud solutions to enable innovation, improve operational efficiency, and simplify the IT infrastructure requirement.
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3.5

Voltage SecureData Enterprise is data-centric protection for big data. It protects the world’s largest brands and neutralizes breach impact by securing sensitive data-at-rest, in-use, and in motion. It provides advanced encryption, tokenization, and secure key management that protect sensitive data across enterprise applications, data processing IT, cloud, payments ecosystems, mission-critical transactions, storage, and big data platforms.

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3.4
The company specializes in cybersecurity offerings, which include a wider information protection portfolio such as endpoint data loss prevention solutions, encrypted traffic management, encryption, identity management solutions, and other data security solutions. Symantec Big Data Solution helps organizations, educational institutes, and government organizations to adhere to the federal regulations that make it necessary to retrieve digital data whenever required.
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Checkpoint Next-Generation SmartEvent evaluates and searches logs with unparalleled speed and scale. It is capable to analyze billions of logs per day, and search over a hundred million logs in a matter of seconds. This speed and scale enable forensic investigation and regulatory compliance with easy access to terabytes of historical logs. SmartEvent offers full threat visibility with a single view of security risks. It helps to take control and command the security event through real-time forensic and event investigation, compliance and reporting. It also responds to security incidents immediately and gains network true insights.

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3.3
AWS systematically approaches the security industry. While in the presence of sub-frameworks around each service, its architecture and security administration are intended to work together. The data in Amazon cloud is encrypted at its storage level, regardless of whether the data is in rest or motion. Additionally, the access management for ensuring the security data is required for simple storage, as well as, sophisticated database services.
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3.2

Imperva Inc. enables the successful deployment of security solutions that protect critical data and applications over the enterprise cloud or on-premises network. The solutions provided by the company improves the overall accuracy, decrease complexity, increase enterprise performance, and broaden deployment options to the customers. Advanced technologies provided by the company delivers innovative protection against complex, multi-vector data threats and attacks. Imperva SecureSphere solution integrates multi-layer security architecture to enable advanced level protection without any complex infrastructure requirement.

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Vormetric Transparent Encryption enterprise encryption software provides data-at-rest encryption with centralized key management, privileged user access control, and detailed data access audit logging. This protects data wherever it resides, on-premises, across multiple clouds and within big data, and container environments. The deployment is user-friendly, easy, scalable and quick, with agents installed at operating file-system or device layer, and encryption and decryption are transparent to all applications that run above it. The software is designed to meet data security compliance and best practice requirements with minimal disruption, effort, and cost.

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Hortonworks helps customers maintain the high levels of protection their enterprise data demands by creating centralized security administration and management into the DNA of the Hortonworks Data Platform (HDP). HDP provides an enterprise-ready data platform with rich competences spanning security, governance, and operations. By executing security at the platform level, Hortonworks ensures that security is consistently administered to any application built on top of the data platform, and makes it easier to build or retire data application without impacting security. To be consistent with its mission to develop, distribute and support 100% open-source Apache Hadoop data platform, Hortonworks immediately incorporated the XA Secure technology into the Hortonworks Data Platform (HDP), while also converting the commercial solution into an open Apache community project called Apache Ranger.

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2.6
Cloudera offers a versatile, adaptable, and integrated platform that simplifies the management of the ever-increasing volumes and formats of data. The company offers the Cloudera distribution of Apache Hadoop, the CDH suite, which provides integration and security with multiple hardware and software solutions. CHD includes Cloudera Navigator, an end-to-end data management and security tool that enables administrators and analysts to explore the big data in Hadoop and simplifies the management of encryption keys. Cloudera's unique approach balances big data flexibility needs with the required agility for wider business implementation, thereby enabling innovations.
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2.6
McAfee provides a wide-ranging category of products, which include data protection and encryption, database security, security management, and SIEM. The company offers numerous products under these categories. McAfee Complete Data Protection comprises data protection and encryption. McAfee Database Security offers various products, such as McAfee Data Center Security Suite for Databases, McAfee Vulnerability Manager for Databases, McAfee Security Scanner for Databases, McAfee Total Protection for Data Loss Prevention, and McAfee Device Control. These products deliver real-time protection from external, internal, and even intra-database threats to business-critical data in databases.
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Gemalto offers the SafeNet Data Protection solution. SafeNet Data Protection delivers data protection with a wide ranging security portfolio to meet the demands of customers. It also helps in conforming to the compliance mandates, which include standards such as HIPAA, GDPR, PCI-DSS, and SOX. This empowers service providers to offer flexible lifecycle management services for customers’ data stores.
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2.5
Centrify Corporation has carved a notable place in the big data security market by delivering NoSQL and Hadoop-based customers’ enterprise-grade IAM solutions. The adoption of these security solutions reduces the risk and total cost of ownership and unifies the IT infrastructure of the organizations by consolidating identity, authentication, and access management. The recently released Centrify Server Suite 17, provides a robust privileged access management solution to address the security and compliance requirements of its customers.
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2.5
The company offers big data security through the Microsoft Azure Information Protection, for both data over cloud and on-premises. The platform sorts the stored data depending upon its sensitivity and the robust policies label and classify the data while creating the data set. It allows defining the rules over the data, and thus enables secured sharing of data among the employees, customers, and partners. Further, its integration with all the Microsoft products, such as Office and other common applications, provides added security through Microsoft security essentials for the desktop systems.
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Zettaset is a distribution-agnostic management platform that already delivers a robust and comprehensive enterprise-ready Big Data security suite, and automates Hadoop configuration and management. BDEncrypt Plus encryption solution is certified with the MapR Converged Data Platform, the industry’s only converged data platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage. With this certification, Zettaset has completed a detailed evaluation and test process with MapR Converged Data Platform, ensuring that sensitive data-in-motion and data-at-rest is protected with fine-grained, role-based access control.

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The Pivotal approach to threat detection centers on cybersecurity analytics at scale. It is a data lake-centric approach, which permits Pivotal to improve its threat detection models using additional data sources most traditional security providers overlook. Along with network flows, Pivotal’s approach also merges data such as Active Directory logs, human resources data and LDAP data.

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