In this review, we compare the top cloud storage providers available, covering their key features, security measures, and more.

Streamline your digital life and stay organized effortlessly with Google Drive, our #1 recommended cloud storage platform.

Top Cloud Storage Providers

The internet is home to a wide variety of cloud storage providers. Each of these digital “lockers” offers you a space to stow away your files, like pictures, videos, documents, and more, safely up in the cloud. 

However, it isn’t just about which service has the most room. It’s also about which one can keep your data secure, offer you seamless access whenever and wherever you need it, and can do all of this without breaking the bank.

Below are some of the best cloud storage solutions available on the market:

1. Google Drive

Google Drive is a popular and trusted cloud storage service from tech giant Google. It offers a seamless experience for storing, sharing, and accessing files from any device with internet connection. The platform is often appreciated for its simplicity, integration with other Google services, and generous free storage.

Pros

• 15 GB free storage
• Great integration with Google apps
• Excellent collaboration features
• Robust search features

Cons

• Paid plans can be pricey
• No password protection for shared files

Best For:

• Teams requiring real-time collaboration
• Users heavily invested in Google’s ecosystem
• Those needing substantial free storage

Overall, Google Drive proves to be a versatile and efficient solution for your cloud storage needs. It particularly shines when used in combination with Google’s ecosystem of productivity tools.

2. Sync

Sync is a top-notch cloud storage service that offers a safe and user-friendly environment for storing and sharing files. Standing out with its “zero-knowledge” storage system, Sync ensures your data is encrypted, and only you have access. It’s ideal for personal, business, and enterprise use, offering a range of storage plans to cater to all needs.

Pros

• “Zero-knowledge” encryption for superior privacy
• End-to-end encryption for shared files
• Efficient file synchronization across devices
• No file size limits for uploads

Cons

• No built-in document editor
• Limited third-party app integrations

Best For:

• Users prioritizing data security
• Remote teams needing secure file-sharing
• Individuals with large files to store

Sync offers a perfect blend of a user-friendly interface, robust security, and flexible plans. Its emphasis on privacy and security makes it an excellent choice for those who value these aspects in a cloud storage service.

3. iCloud

iCloud is Apple’s in-house cloud storage service, seamlessly integrated with Apple devices. Known for its robust security and user-friendly interface, iCloud provides easy access to photos, files, and more across multiple devices.

Pros

• High level of security and privacy
• Family sharing feature available
• Real-time syncing of data and files

Cons

• Limited free storage space
• Less intuitive for non-Apple users

Best For:

• Apple device users
• Users prioritizing security and privacy

iCloud is a robust and reliable choice for those deeply ingrained in the Apple ecosystem. It offers a level of convenience and integration that is hard to match, but it might not be the best fit for those primarily using non-Apple devices.

4. Dropbox

Dropbox is a popular cloud storage service that’s been around for quite some time. Known for its user-friendly interface and robust feature set, it’s an excellent choice for both personal and professional use.

Pros

• Easy to use, intuitive interface
• Robust file versioning and recovery
• Seamless file sync across devices

Cons

• Limited storage with free plan
• No built-in editing tools

Best For:

• Collaboration on team projects
• Individuals wanting straightforward, reliable cloud storage

Dropbox stands as a highly competitive option in the cloud storage market. Its ability to seamlessly sync files across various devices and its robust file recovery system sets it apart from others.

5. iDrive

iDrive is a versatile cloud storage service packed with robust features. It shines in data backup and protection, syncing files across multiple devices, and sharing documents securely.

Pros

• Generous 10 GB free storage space
• Continuous data backup available
• Supports multiple device types

Cons

• Slightly complex user interface
• Restoring files can be slow

Best For:

• Small- to medium-sized businesses
• Users needing continuous backup

iDrive’s continuous backup feature and generous free storage make it suitable for both personal and business use. While it may require a bit of a learning curve due to its complex user interface, the power and flexibility it provides may be well worth the effort.

6. pCloud

pCloud is a user-friendly cloud storage solution known for its security and flexibility. It offers ample storage options, robust security features, and a straightforward interface that appeals to both beginners and seasoned users.

Pros

• 10 GB free storage space
• High-level security with pCloud Crypto
• File versioning and recovery

Cons

• No continuous backup feature
• Limited collaboration tools

Best For:

• Users prioritizing security
• People needing large storage space

With generous free storage and top-tier security measures, pCloud is an excellent choice for those who prioritize the safety of their data. However, if continuous backup or collaborative tools are a necessity, you might want to explore other options.

7. Microsoft OneDrive

Microsoft OneDrive is a solid cloud storage solution integrated with Microsoft’s suite of online services. It blends seamlessly with Office 365, providing a convenient platform for storing, sharing, and collaborating on documents.

Pros

• Deep integration with Microsoft Office
• 5 GB free storage space
• Reliable file syncing and sharing

Cons

• Paid plans can be pricey
• No native Linux client

Best For:

• Existing users of Microsoft Office suite
• Businesses for seamless collaboration

OneDrive shines brightest for users already within the Microsoft ecosystem, as it offers deep integration with Microsoft Office applications. It is also excellent for those requiring real-time collaboration tools. However, the additional cost of extra storage could be a setback for some users.

8. Box

Box is a top-notch cloud storage service known for its security and business-oriented features. Providing reliable storage and an array of collaborative tools, Box stands as an excellent option for both personal and professional use.

Pros

• Powerful collaboration and workflow tools
• Top-notch security and compliance features
• Integrates with many apps

Cons

• Premium plans can be pricey
• Less user-friendly for beginners

Best For:

• Collaboration on complex projects
• Businesses prioritizing security

Box offers a balanced blend of features suitable for both individuals and businesses. It’s a top choice for those needing secure collaboration tools, thanks to its robust security measures and extensive integration capabilities. However, potential users should be aware that there’s no free storage after the trial, and larger storage options can get pricey.

9. MEGA

MEGA is a cloud storage service that stands out with its focus on privacy and a generous free storage option. Its strong encryption ensures your files stay private, making it a firm favorite for security-conscious users.

Pros

• End-to-end encryption for security
• Offers 20 GB free storage
• Supports large file transfers

Cons

• Speeds can sometimes be slow
• Limited customer support options

Best For:

• Users prioritizing data privacy
• Those needing large free storage

MEGA offers an excellent balance of privacy, usability, and free storage capacity. While it might not be the fastest service, and its customer support could be better, it remains an attractive choice for those whose top priority is the security of their data.

10. SpiderOak One

SpiderOak One is a cloud storage service renowned for its “zero-knowledge” privacy policy and strong security measures. Its commitment to privacy protection makes it a standout option for users who need to store sensitive information.

Pros

• Excellent security and privacy protections
• Supports unlimited devices
• Versioning and recovery features

Cons

• More expensive than some rivals
• Interface is not very intuitive

Best For:

• Users with high security needs
• Multiple device usage

SpiderOak One is a cloud storage service that places a premium on security and privacy. Though it may be more expensive and less user-friendly than some competitors, it shines in its security features and support for multiple devices.

You Might Also Like….

• Best Business Cloud Solutions
• Best Cloud Storage Solutions for Startups

An extension of the Kii Cloud, the new framework specifically focuses on common IoT use cases around sensor-cloud-app interactions (like sensor state registration/retrieval, trigger-driven command execution on devices, etc.) and significantly reduces server code that would otherwise be needed to implement them.

This enhancement incorporates a number of best practices involved in implementing interactions between the various moving parts in a typical IoT solution – like devices, services, apps, states, commands, triggers, etc. Thing (sensor/device) manufacturers and mobile app developers can adapt and customize the framework through new and updated SDKs.

“Thing Interaction Framework extends Kii’s commitment to simplify and speed up IoT solution development,” explains Phani Pandrangi, Chief Product Officer at Kii. “With this framework providing most of the server side functionality pre-packaged (yet customizable) for a variety of use cases, our customers can focus on the specifics of their solution and implement complex interactions with mostly client side coding.”

This framework also facilitates interoperability between different IoT solutions. The abstraction provided by the framework exposes clean interfaces to the state data, actions, commands and triggers of sensors/devices, thereby making creation of interoperability logic easier and more modular than ever before.

Thing Interaction Framework is available now to customers, more information at: http://documentation.kii.com/en/guides/thingifsdk/.

According to the analyst firm IDC, the cloud infrastructure market segment registers second highest growth. As a logical consequence, the technologies that the basis for the cloud, such as servers, storage systems and Ethernet switches, account for 30% of expenditure in 2015, against 26.4% in 2014.

The growth of Cloud IT infrastructure continues to outperform the overall market of IT infrastructure, driven by companies’ decision to move their workloads to cloud platforms. In this context, HP maintained its position as No. 1 in the world with a 15.7 % market share, followed by Dell (11.9%), Cisco (9.3%), EMC (7.2%) NetApp (4.4%) and Lenovo (3.6%).

However, it is noteworthy that this upward trend is certainly general in the world, with the exception of areas of Eastern and Central Europe, where the cloud infrastructure sales declined over the period. IDC attributes this to the unstable political and economic climate.

The report says “end users continue to evaluate various approaches to adopting cloud-based IT: some integrate public cloud service into their IT strategies, others choose to build their own private clouds or use third-party private cloud offerings, and some, seeing benefits in both, implement hybrid cloud strategies. The breadth and width of cloud offerings only continue to grow, with an increasing universe of business- and consumer-oriented solutions being born in the cloud and served better by the cloud. This growing demand from the end user side and expansion of cloud-based offerings from service providers will continue to fuel growth in spending on the underlying IT infrastructure in the foreseeable future.”

Investments are growing in both public cloud and private cloud. But it is the public cloud that carves the lion’s share with two-thirds of the cloud infrastructure expenditures dedicated to them. While sales of private cloud rose 24.4% to $4.2 billion, those of public cloud have evolved similarly, a 25.5% increase to $3.9 billion.

The report further noted that “Cloud IT infrastructure growth continues to outpace the growth of the overall IT infrastructure market, driven by the transition of workloads onto cloud-based platforms. Both private and public cloud infrastructures have been growing at a similar pace, suggesting that customers are open to a broad array of hybrid deployment scenarios as they modernize their IT for the 3rd Platform, begin to deploy next-gen software solutions, and embrace modern management processes that enable agile, flexible, and extensible cloud platforms.”

In the next five years, IDC expects spending on cloud infrastructures continue to grow, and their share of total infrastructure spending should increase to 50% as companies continue to turn increasingly to the public cloud.

The new organization R Consortium became an official project of Linux Foundation and is designed to strengthen R language users.  It is expected that R Consortium will complement the existing fund, and will focus on expanding the user base of R, as well as focus on improving the interaction of users and developers.

The Representatives of the R Foundation and industry representatives are behind the new consortium. Microsoft and RStudio have joined the consortium as platinum members. TIBCO Software is a gold member and Alteryx, Google, HP, Mango Solutions, Ketchum Trading and Oracle have joined as silver members.

R Consortium will complement the work of R Foundation, establishing communication with user groups and engaging in supporting projects – related to the creation and maintenance of R mirror sites, testing, resources for quality control, the financial support and promotion of the language. Also, the consortium will assist in creating support packages for R and organizing other related software projects.

R is a programming language and development environment for scientific calculations and graphics that originated at the University of Auckland (New Zealand). The R language has enjoyed significant growth and now supports more than two million users. A wide grass industries adopted the R language, including biotech, finance, research and high-tech industries. The R language is integrated with frequency analysis, visualization, and reporting applications.

Having acquired the company Revolution Analytics (which makes strong use of language), Microsoft announced that it is joining the consortium together with other founding members such as Google, Oracle, HP, Tibcom, Rstudio, Alteryx to finance the new consortium.

Microsoft’s official said that “the R Consortium will complement the work of the R Foundation, a nonprofit organization that maintains the language, and will focus on user outreach and other projects designed to assist the R user and developer communities. This includes both technical and infrastructure projects such as building and maintaining mirrors for downloading R, testing, QA resources, financial support for the annual useR! Conference and promotion and support of worldwide user groups.”

Google also says they have thousands of users and their own developers using R, so this language is crucial for many of their products. Google is happy to join the rest of companies to continue to maintain the infrastructure of the open source R.

Microsoft’s support of real-time analytics for Apache Hadoop in Azure HDInsight and machine learning in Azure Marketplace use R language to service anomaly detection for preventive maintenance or detection of fraud.

Oracle Cloud Platform was enriched by nearly 24 new services for developers, IT professionals, end users and analysts to achieve, to expand and more easily integrate cloud applications. They are Oracle Database Cloud – Exadata Service, Oracle Archive Storage Cloud Service, Oracle Big Data Cloud Service and Big Data SQL Cloud Service, Oracle Integration Cloud Service, Oracle Mobile Cloud Service and Oracle Process Cloud Service.

With the new services launched, companies can move all their applications hosted in the data center to the cloud Oracle. Oracle now claims to be the only cloud provider to offer a full range of enterprise software services, platform services and infrastructure services under the banner Oracle Cloud Platform. Compared to Oracle, cloud providers have chosen to focus on certain services: Salesforce.com has specialized in software and services Amazon has essentially focused its activity on infrastructure services.

The provider has also launched several integrated cloud services that must allow companies to move their operations to the cloud, including a service to develop and execute mobile applications directly from the Oracle cloud and an integration service which allows them to combine multiple enterprise applications into complete systems.

Oracle now offers online services for enterprise resource planning, managing the customer experience, management of human resources, management of business performance, and management services supply chain. The aim of these new offerings is to make Oracle a single window for all the cloud computing needs.

Oracle Databases deployed in the cloud as part of this service is 100% compatible with those deployed on-premises, thereby enabling a smooth migration to the cloud and seamless transition to a hybrid cloud strategy. The Oracle Big Data Service Cloud and Big Data SQL Cloud Service is a secure and efficient platform to run various loads on Hadoop and NoSQL databases and to help companies collect and organize their big data.

Oracle Mobile Cloud Service offers a set of Android applications development tools or iOS operating entirely in the cloud. The developer can use Mobile Cloud to build a user interface or to configure an API for data exchange. All development will be done entirely through a browser, so it is not necessary to install software on the desktop machine to each developer.

Developers can use their favorite languages ​​or go through the Mobile Application Framework Oracle framework. The service also includes a software development kit (SDK) that allows developers to follow their application, for example to know who uses it and how it is used.

The company also launched a service called Oracle Integration Cloud Service, which allows companies to work together their different enterprise applications and cloud services. Finally, Oracle has updated Business Intelligence Cloud Service, in particular by equipping it with new data visualization tools.

Oracle wants to clearly position themselves to Amazon, its main competitor, which also offers various solutions in the cloud. To attract customers, the company also said that the group is ready to compete with Amazon on price. Oracle claims 70 million users in the cloud. The services offered by Oracle are from 19 data centers spread across the planet, which manage 700 PB of data.

Salesforce.com has set the goal of providing businesses with a more user-friendly analysis tools for the reason mentioned above. Last week, the leader of the CRM service provider has unveiled a series of apps tailored to specific activities or roles. Among them is the introduction of Sales Wave Analytics, a tool for business, which will be the first to be delivered.

Earlier this year, Salesforce.com had already made a series of updates for its mobile platform Wave Analytics Cloud, and last month the company had added a new tool focused on big data. This time, the latest round of Wave Analytics Apps applications is intended to extend the cloud analytics capabilities by providing the prepackaged templates that can meet specific needs according to use, with the ability to provide a meaning data appropriate to the context.

The applications instantly integrate CRM data in appropriate role models to accelerate deployment. They will also highlight the historical trends and making full year comparative from any terminal. Because Wave Analytics Apps applications are built natively on Salesforce1 platform, predefined data flows will not only postpone automatically, but also to update all parameters associated with these changes in Salesforce.

Sales Analytics Wave is the first app in the series delivered by the firm. It will allow business to benefit from new forecasting management tools, sales pipeline, performance and more. Preconfigured templates included in the application will allow users to explore all Salesforce sales data. It will cover sales pipeline management and forecasting so that they can give access to quarterly results and will allow to follow team performance.

The top management of the business operations may, for example, use this tool to have a real-time analysis of sales pipeline and cross this information with the sales performance of products directly from the mobile phone to determine if these forecasts should be revised or not.

The Sales Wave Historical Analysis function allows sales managers themselves to create the database in no time from any device with an analysis of historical data. As a result they no longer have to wait for the results of business analysts.

The Wave platform is vertically integrated with Salesforce’s cloud analysis platform. In addition, the data does not need to be sorted for analysis, because the Wave platform includes a schema-free architecture. This allows all employees to intuitively explore full datasets and display the results in dashboards and graphs.

The tool will be available on iOS for iPhone, iPad and even Apple Watch. Additional languages ​​and other compatible devices will be added to the list later.

In 2009, AMPLab of the University of Berkeley developed the Spark framework that went open source a year later as an Apache project. This framework, which runs on a server cluster, can process data up to 100 times faster than Hadoop MapReduce. Given that the data and analyzes are embedded in the corporate structure and society – from applications to the Internet of Things (IoT) – Spark provides essential advancements in large-scale data processing.

First, it significantly improves the performance of applications dependent data. Then it radically simplifies the development process of intelligence, which are supplied by the data. Specifically, in its effort to accelerate innovation on Spark ecosystem, IBM decided to include Spark in its own platforms of predictive analysis and machine learning.

IBM Watson Health Cloud will use Spark to healthcare providers and researchers as they have access to new health data of the population. At the same time, IBM will make available its SystemML machine learning technology open source. IBM is also collaborating with Databricks in changing Spark capabilities.

IBM will hire more than 3,500 researchers and developers to work on Spark-related projects in more than a dozen laboratories worldwide. The big blue company plans to open a Spark Technology Center in San Francisco for the Data Science and the developer community. IBM will also train Spark to more than one million data scientists and data engineers through partnerships with DataCamp, AMPLab, Galvanize, MetiStream, and Big Data University.

A typical large corporation will have hundreds or thousands of data sets that reside in different databases through their computer system. A data scientist can design an algorithm using to plumb the depths of any database. But is needs 90 working days of scientific data to develop the algorithm. Today, if you want to implement another system, it is a quarter of work to adjust the algorithm so that it works. Spark eliminates that time in half. The spark-based system can access and analyze any database, without development and no additional delay.

Spark has another virtue of ease of use where developers can concentrate on the design of the solution, rather than building an engine from scratch. Spark brings advances in data processing technology on a large scale because it improves the performance of data-dependent applications, radically simplifies the process of developing intelligent solutions and enables a platform capable of unifying all kinds of information on real work schemes.

Many experts consider Spark as the successor to Hadoop, but its adoption remains slow. Spark works very well for machine learning tasks that normally require running large clusters of computers. The latest version of the platform, which recently came out, extends to the machine learning algorithms to run.

Now, SAP plans to offer companies better tools for big data and the Internet of Things. The latest version of SAP HANA called Service Pack 10 (SPS 10) allows customers to communicate with objects connected to the scale of the business and more efficiently manage large amounts of data. The function of synchronization of remote data, which can synchronize the data between the enterprise and remote sites to the network edge, is one of the most notable innovations in the new version.

Developers can now build IoT Mobile apps and generate large volumes of data that take advantage of the data synchronization distance between the company, and Hana remote locations via the integrated SAP database embedded SQL Anywhere technology. So some data previously scattered in various production areas such as restaurants, and remote locations such as gas stations, vending products, and other sources can be traced, be accessible and re-injected more easily.

This concerns the applications of the Internet of Things, for example, the analysis of data from sensors in the field to better plan preventive maintenance actions that avoid the occurrence of faults. Moreover, the extensive capabilities of integrating Hana data is compatible with the latest Hadoop distribution Cloudera and Hortonworks. Among other remarkable features are the faster data transfer with Spark SQL and the ability to move data between storage tiers.

The opening up to the IoT not only about SAP SQL Anywhere. HANA sees improved other related functions such as streaming data from thousands of sensors in the field and their peaks of transmissions. There is also an architecture IoT layered in which some devices are the gateway and pre-process the events of their area to a deputy before transferring the data to HANA.

Also, SAP expanded language support for the Texanalyse to 32 languages. The SAP HANA text mining now supports SQL syntax. Thus, it will easier for developers to write new applications based on text mining.

SAP has also evolved the analysis capabilities of its software, not just in the core of its Hana platform, but also in its predictive analytics portfolio. For example, version 2.2 of the SAP Predictive Analytics suite has been modified to accommodate large data sets that can be used for predictive modeling.

Its automatic predictive library has been enriched by a large number of algorithms. Other more oriented enhancements such as integration of R model comparison capabilities are also included in the new additions.

In March, IBM announced investment of $3 billion to set up a new dedicated business unit for Internet of Things. The new offer is initially aimed at companies with tourism market, logistics, insurance, public services, transport and retail. Samsung also announced the launch of SmartThings Open Cloud and Artik platform, which will help developers create innovative products and services for the IoT using their connected devices.

During this year’s Cisco Live! and media level, the Intercloud initiative has been overtaken undoubtedly the concept of Internet of Everything. However, for the manufacturer it is a vital part of the technology that will develop the connection of all things, data collection, and processing.

Cisco also announced the addition of 35 new members to accelerate the creation of innovative cloud-based services through three fundamental areas -Platforms development of next-generation analytics and big data and cloud services for the Internet of Everything. The company has also optimized its Cisco Intercloud Fabric solution with new security features, support management in clouds and additional hypervisor. These innovations further eliminate the complexity of hybrid cloud providing flexible movement of workloads and maintaining security policies and network environments through public and private cloud.

Cloud services for the Internet of Things

Cisco and its partners offer organizations’ cloud services and next-generation applications through the Cisco Intercloud Marketplace, a global market focused on partners that Cisco plans to open this fall. Developers are going to rely on the Cloud for development environments/test to create and distribute applications in production. Cisco announced its collaboration with various companies developing and delivering business applications such as Apprenda, Active State and Docker for innovative development environments.

Cisco is also expanding its participation in major open source development communities such as Cloud Foundry, OpenShift, and kubernetes, and is now building an integrated suite to help developers design micro-container based services tools.

Organizations are demanding new ways to manage the exponential growth of data and the ability to obtain real-time analysis. To meet this need, Cisco collaborates with leading Big Data solutions such as MapR, Hortonworks, Cloudera and Apache Hadoop community. Working with these partners, Cisco safely extends Hadoop solutions on-premise to the cloud and provide a true hybrid deployment. It is also providing end customers to maintain the same policies, control and security in their Big Data implementations, as well as greater flexibility and an unlimited virtual scalability.

In addition to developing platforms and powerful features of Big Data and analytics necessary to the IEA, Cisco started providing APIs to the development community to ensure functionality control, performance and security from the data center to the device.

As part of this framework, Cisco will expose APIs for application developers to allow network monitoring, performance and security to be delivered from the data center to the device. It will also be offering vital services such as data virtualization, Energywise, and Cisco Exchange Platform Services through Intercloud.

Cisco says that by 2020 there will be over 50 billion devices connected to the Internet. Cisco is working on a number of fronts to turn IoT’s many, many possibilities into reality. Cisco’s strategy to invest in solutions of hybrid data centers, including Intercloud and fog computing to create an optimized IoT infrastructure.

This version strengthens the operational capacity real-time platform. In particular, it extended the highly reliable data transport framework used in the function table MapR-DB Replication (which allows replication between multiple data centers) to provide data to external motors and synchronize in real time.

Compared to other Hadoop distributions, MapR extends the functionality of the framework on security aspects (data protection, user authentication, disaster recovery), but also high availability and performance. Version 5.0 brings further improvements in governance, with a full audit access to data through JSON and Apache Drill Views of support for secure access to data analyze.

More and more companies deploy multiple applications on the same Hadoop cluster. In this context, the latest MapR manages automated synchronization of storage, databases and search index.

To facilitate the deployment of Hadoop clusters, the publisher has also included new models of self-provisioning to set up a cluster as if it were an appliance without using specific hardware. These models can be deployed using the MapR installer. Among the possible configurations, there are the Lake Data services, data mining (Interactive SQL with Apache Drill) and analysis of operational data (basic and MapR NoSQL-DB).

The Apache project will help in the analysis and the use of batch processes and their pipelines with rapid and extensive calculations. The announced distribution automatically synced storage, databases and search indices to allow complex real-time applications. It also has new auditing capabilities.

MapR Technologies intends to continue its growth in big data and analytics-segment. In the context of the MapR database now has the ability to the table replication to synchronize data in real time and make it available for external calculators. The first case that is based on Lucene search platform Elasticsearch is supported to enable synchronized full-text search indexes automatically.

Last year, MapR and Apache Spark integrated their technologies to offer its users an all-around the clock support for Spark to develop the solution and related projects at a faster rate and to integrate more innovative changes. In addition, the two companies are working together on a rapid development of the software and other complementary innovative new features. This will pay off for MapR customers and the Hadoop community well over the coming years.

Recently, Oracle released a new software product that is designed to help big data demands. This product called Oracle Big Data Spatial and Graph provides new analytical capabilities for Hadoop and NoSQL. Oracle created the product so that it can process data natively on Hadoop and parallel on MapReduce using structures in memory.