DOCSLIB.ORG

Magic Quadrant for Enterprise High-Productivity Application Platform As a Service

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Magic Quadrant for Enterprise High-Productivity Application Platform As a Service This research note is restricted to the personal use of [email protected]. Magic Quadrant for Enterprise High- Productivity Application Platform as a Service Published: 26 April 2018 ID: G00331975 Analyst(s): Paul Vincent, Van Baker, Yefim Natis, Kimihiko Iijima, Mark Driver, Rob Dunie, Jason Wong, Aashish Gupta High-productivity application platform as a service continues to increase its footprint across enterprise IT as businesses juggle the demand for applications, digital business requirements and skill set challenges. We examine these market forces and the leading enterprise vendors for such platforms. Market Definition/Description Platform as a service (PaaS) is application infrastructure functionality enriched with cloud characteristics and offered as a service. Application platform as a service (aPaaS) is a PaaS offering that supports application development, deployment and execution in the cloud. It encapsulates resources such as infrastructure. High- productivity aPaaS (hpaPaaS) provides rapid application development (RAD) features for development, deployment and execution — in the cloud. High-productivity application platform as a service (hpaPaaS) solutions provide services for declarative, model-driven application design and development, and simplified one-button deployments. They typically create metadata and interpret that metadata at runtime; many allow optional procedural programming extensions. The underlying infrastructure of these solutions is opaque to the user as they do not deal with servers or containers directly. The rapid application development (RAD) features are often referred to as "low-code" and "no-code" support. These hpaPaaS solutions contrast with those for "high-control" aPaaS, which need professional programming — "pro-code" support, through third-generation languages (3GLs) — and provide transparent access to the underlying infrastructure. Enterprise PaaS ensures support for enterprise application requirements — such as high availability/ disaster recovery, external service access, strong security features, and the availability of technical support. For enterprise hpaPaaS, these capabilities may also extend to support mixed high- productivity and high-control application development, hybrid deployments on-premises as well as cloud, and sharing of enterprise services such as for security. This research note is restricted to the personal use of [email protected]. This research note is restricted to the personal use of [email protected]. Such hpaPaaS solutions provide support for: ■ UI capabilities via responsive web and mobile apps ■ Orchestration or choreography of pages, business process, and decisions or business rules ■ Built-in database ■ "One-button" deployment They are, by definition, multifunction, and their functionality often extends into newer domains such as event handling and processing, Internet of Things (IoT) support, analytics, and advanced artificial intelligence (AI) and machine learning (ML) services. The hpaPaaS developer experience focuses on no-code and low-code capabilities: ■ No-code users include citizen developers and will utilize graphical modeling experiences. ■ Low-code users have more development skills and augment graphical development tooling with scripting or more sophisticated model types such as entity relationship diagrams, business process model and notation, and decision model and notation. Only vendors providing "enterprise" hpaPaaS — as a public cloud service — are considered in this Magic Quadrant. Some of these platforms are aligned closely with particular SaaS solutions, but this Magic Quadrant focuses on general application development tasks where extending SaaS is just one of six common use-case types considered. See "Platform as a Service: Definition, Taxonomy and Vendor Landscape, 2016" for an expanded form of the definition of aPaaS and other forms of cloud application infrastructure services (xPaaS). In particular, note that the related areas of business process management (BPM) and mobile app development have some characteristics of high-productivity development (see "Magic Quadrant for Intelligent Business Process Management Suites" and "Magic Quadrant for Mobile App Development Platforms"). Some vendors in these markets are, increasingly, tending to go to market with their solutions as hpaPaaS products used for hpaPaaS use cases — and are therefore included in this Magic Quadrant. See "Hype Cycle for Platform as a Service, 2017" for the trend to maturity of this market segment. Also, "The Key Trends in PaaS, 2018" for a discussion on "high productivity" as a segment of the "cloud spectrum" of services that needs to be considered by IT leaders. Page 2 of 56 Gartner, Inc. | G00331975 This research note is restricted to the personal use of [email protected]. This research note is restricted to the personal use of [email protected]. Magic Quadrant Figure 1. Magic Quadrant for Enterprise High-Productivity Application Platform as a Service Source: Gartner (April 2018) Gartner, Inc. | G00331975 Page 3 of 56 This research note is restricted to the personal use of [email protected]. This research note is restricted to the personal use of [email protected]. Vendor Strengths and Cautions AgilePoint AgilePoint has offered its NX low-code hpaPaaS since 2015. NX has evolved quickly from a BPM- oriented platform to support more general application development tasks. Most of its customer base lies in North America, but it has a sizable market base in both EMEA and Asia/Pacific — with extensive partner networks in each of these geographies. NX supports hybrid environments, and can be used as public or dedicated PaaS as well as on-premises and private cloud. All environments have the same code base; a user can start on-premises and then migrate the application to the cloud. AgilePoint is based in Mountain View, California, U.S., and NX is priced per named or concurrent user, or per resource used (CPU core), with a reduced price for environments dedicated to Microsoft integrations. Strengths ■ AgilePoint supports, and provides some portability across, multiple clouds — customers can choose between Microsoft Azure or Amazon Web Services (AWS), or running natively on Salesforce platforms and others — with an on-premises option as well. The strong focus on multiple SaaS support demonstrates a good understanding of the position of independent PaaS providers. ■ AgilePoint allows enterprises licensing based on the capacity of concurrent logged-in users, which is unique in this space. Under this model, organizations can "share" licenses between users, as opposed to buying individual licenses for infrequent users. Further pricing innovations, such as transaction-based, are planned. Reference customers scored AgilePoint higher than average for negotiations and flexibility of contracts. ■ AgilePoint has recently expanded its investment in AI-driven application scenarios. It has integrated ML-based application routing and continues to expand AI-driven application development and the continuous improvement of applications. ■ AgilePoint has strong support for business process modeling and integration, making the platform particularly attractive to "process-centric" application design/architectures. Reference customers quoted "improve business process automation" as a primary driver for their adoption of NX, which gained the second-highest score in the Magic Quadrant for this; it also scored above average for approval of its integration features. Cautions ■ While extending its PaaS customer base steadily, AgilePoint's total number of paid customers remains relatively small compared with many of its competitors — although some customers are heavy adopters. AgilePoint plans to address this shortfall with more marketing. Its small size reduces AgilePoint's investment options and could potentially make it an acquisition target. Page 4 of 56 Gartner, Inc. | G00331975 This research note is restricted to the personal use of [email protected]. This research note is restricted to the personal use of [email protected]. ■ AgilePoint's competitors remain mostly in the BPM rather than the aPaaS segment; it is, potentially, missing out on deals due to market perception. ■ AgilePoint's capabilities in extending SaaS such as Microsoft could be threatened by these vendors' entry into, and renewed interest in, hpaPaaS. One-quarter of AgilePoint's current customers are Microsoft-focused, for example, and not all of them will be interested in NX's multiplatform support. ■ A sizable number of reference customers for AgilePoint quoted "end-user experience" as an area of potential improvement, and a below-average number of references used it for B2C applications. Customers also scored AgilePoint as being below average for availability and for usage of accelerators such as templates and prebuilt processes. Appian Appian offers a low-code hpaPaaS solution, which enables application authors to create both process- and data-centric applications through its strong BPM and case management capabilities. Appian has been delivering its Appian Cloud platform since 2007. It has taken a unified-platform approach that used a single application definition, without change, on a range of devices. Appian applications can be developed and executed both on-premises and on its aPaaS offering. Appian has positioned its Appian Cloud platform for general-purpose application development, which includes robust process orchestration,
Load more

Recommended publications
  • Building Your Hybrid Cloud Strategy with AWS Ebook
    Building Your Hybrid Cloud Strategy with AWS eBook A Guide to Extending and Optimizing Your Hybrid Cloud Environment Contents Introduction 3 Hybrid Cloud Benefits 4 Common AWS Hybrid Cloud Workloads 6 Key AWS Hybrid Cloud Technologies and Services 6 VMware Cloud on AWS 18 AWS Outposts: A Truly Consistent Hybrid Experience 21 Becoming Migration Ready 23 Hybrid Cloud Enablement Partners 24 Conclusion 26 Further Reading and Key Resources 27 © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Introduction Optimizing IT Across Cloud and On-Premises Environments Public sector organizations continue to do more with less, find ways to innovate and bring new ideas to their organizations while dealing with security and maintaining mission-critical legacy systems. Evolving cloud capabilities are transforming the IT landscape for many public sector organizations, some use cases a hybrid cloud approach can help ease and accelerate a path to modernization and cloud adoption. For some use cases a hybrid cloud approach became a more feasible path to IT modernization and cloud adoption. For example, some customers have applications that require the lowest network latency possible, or they already achieve consistent and predicable performance in an on- premises environment, but want to use new cloud tools to enhance the application (e.g. Enterprise Resource Planning systems, real-time sensor data processing, industrial automation and transaction processing). Some customers may encounter unique challenges such as federal regulations associated with data residency, or limitations on their use of the cloud. A hybrid cloud (the use of both on-premises and cloud resources), allows IT organizations to optimize the performance and costs of every application, project and system in either the cloud, on-premises datacenters, or a combination of both.
    [Show full text]
  • Evaluating Cloud Service Vendors with Comparison J.Jagadeesh Babu1 Mr.P.Saikiran 2 M.Tech Information Technology Dept of IT/LBRCE College India
    Volume 3, Issue 5, May 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Evaluating Cloud Service Vendors with Comparison J.Jagadeesh Babu1 Mr.P.Saikiran 2 M.Tech Information Technology Dept of IT/LBRCE college India. India. Abstract: In this paper we reviewed the technical and service aspects of different Cloud providers and presents the comparisons of these selected service offerings in cloud computing. By this User can have good understanding regarding services provided to avoid bottlenecks are also obstacles that could limit the growth. This comparison of cloud service providers, to serve as a starting point for user looking to take throw service and for Selecting the better one for there need into cloud environment . Keywords: Cloud Computing, Service Vendors, Cloud Services. I. Introduction As the use of computers in our day-to-day life has increased, the computing resources that we need also grown up. It was costly to buy a mainframe and computer‘s, it became important to find the alternative ways to get the greatest return on the investment, allowing multiple users to share among both the physical access to the computer from multiple terminals and to share the CPU time, eliminating periods of inactivity, which became known in the industry as time- sharing[1]. The origin of the term cloud computing is vague, but it appears to derive from the way of drawings of stylized clouds to denote networks in diagrams of computing and communications systems.Cloud computing is a paradigm shift in which computing is moved away from personal computers and even the individual enterprise application‘s to a ‗cloud‘ of computers.
    [Show full text]
  • An Introduction to Cloud Databases a Guide for Administrators
    Compliments of An Introduction to Cloud Databases A Guide for Administrators Wendy Neu, Vlad Vlasceanu, Andy Oram & Sam Alapati REPORT Break free from old guard databases AWS provides the broadest selection of purpose-built databases allowing you to save, grow, and innovate faster Enterprise scale at 3-5x the performance 14+ database engines 1/10th the cost of vs popular alternatives - more than any other commercial databases provider Learn more: aws.amazon.com/databases An Introduction to Cloud Databases A Guide for Administrators Wendy Neu, Vlad Vlasceanu, Andy Oram, and Sam Alapati Beijing Boston Farnham Sebastopol Tokyo An Introduction to Cloud Databases by Wendy A. Neu, Vlad Vlasceanu, Andy Oram, and Sam Alapati Copyright © 2019 O’Reilly Media Inc. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com). For more infor‐ mation, contact our corporate/institutional sales department: 800-998-9938 or [email protected]. Development Editor: Jeff Bleiel Interior Designer: David Futato Acquisitions Editor: Jonathan Hassell Cover Designer: Karen Montgomery Production Editor: Katherine Tozer Illustrator: Rebecca Demarest Copyeditor: Octal Publishing, LLC September 2019: First Edition Revision History for the First Edition 2019-08-19: First Release The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. An Introduction to Cloud Databases, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. The views expressed in this work are those of the authors, and do not represent the publisher’s views.
    [Show full text]
  • Price-Performance in Modern Cloud Database Management Systems
    Price-Performance in Modern Cloud Database Management Systems McKnight Consulting Group December 2019 www.m c k n i g h t c g . c o m Executive Summary The pace of relational analytical databases deploying in the cloud are at an all-time high. And industry trends indicate that they are poised to expand dramatically in the next few years. The cloud is a disruptive technology, offering elastic scalability vis-à-vis on-premises deployments, enabling faster server deployment and application development, and allowing less costly storage. The cloud enables enterprises to differentiate and innovate with these database systems at a much more rapid pace than was ever possible before. For these reasons and others, many companies have leveraged the cloud to maintain or gain momentum as a company. The cost profile options for these cloud databases are straightforward if you accept the defaults for simple workload or POC environments. However, it can be enormously expensive and confusing if you seek the best price-performance for more robust, enterprise workloads and configurations. Initial entry costs and inadequately scoped POC environments can artificially lower the true costs of jumping into a cloud data warehouse environment. Cost predictability and certainty only happens when the entire picture of a production data warehouse environment is considered; all workloads, a true concurrency profile, an accurate assessment of users and a consideration of the durations of process execution. Architects and data warehouse owners must do their homework to make the right decision. With data warehouses, it is a matter of understanding the ways they scale, handle performance issues and concurrency.
    [Show full text]
  • The Impact of the Google Cloud to Increase the Performance for a Use Case in E-Commerce Platform
    International Journal of Computer Applications (0975 – 8887) Volume 177 – No. 35, February 2020 The Impact of the Google Cloud to Increase the Performance for a Use Case in E-Commerce Platform Silvana Greca Anxhela Kosta Department of Informatics Department of Informatics Faculty of Natural Sciences Faculty of Natural Sciences University of Tirana University of Tirana Tirana, Albania Tirana, Albania ABSTRACT Storing the unstructured and complex data in traditional SQL A massive amount of complex and huge digital data storing is database is very difficult[13]. For this reason, it was necessary caused due to the development of intelligent environments to create many types of database. NoSQL databases are useful and cloud computing. Today the organizations are using for applications that deal with very large semi-structured and Google Cloud platform to store and retrieve of all amount of unstructured data. NoSQL databases do not require a default their data at any time. Google offers database storage schema associated with the data. The purpose of the NoSQL like:Cloud Datastore for NoSQL non-relational database and databases is to increase the performance and scalability of a Cloud SQL for MySQL fully relational database. During specific application and service. years, enterprise organizations have accumulated growing Nowadays, e-commerce platform is very popular and is going stores of data, running analytics on that data to gain value through a transformation driven by customers who expect a from large information sets, and developing applications to seamless experience between online and in store. As a result, manage data exclusively. Traditional SQL databases are used many retailers are turning to cloud technologies in order to for storing and managing content of structured data, but with meet these needs.
    [Show full text]
  • Database Solutions on AWS
    Database Solutions on AWS Leveraging ISV AWS Marketplace Solutions November 2016 Database Solutions on AWS Nov 2016 Table of Contents Introduction......................................................................................................................................3 Operational Data Stores and Real Time Data Synchronization...........................................................5 Data Warehousing............................................................................................................................7 Data Lakes and Analytics Environments............................................................................................8 Application and Reporting Data Stores..............................................................................................9 Conclusion......................................................................................................................................10 Page 2 of 10 Database Solutions on AWS Nov 2016 Introduction Amazon Web Services has a number of database solutions for developers. An important choice that developers make is whether or not they are looking for a managed database or if they would prefer to operate their own database. In terms of managed databases, you can run managed relational databases like Amazon RDS which offers a choice of MySQL, Oracle, SQL Server, PostgreSQL, Amazon Aurora, or MariaDB database engines, scale compute and storage, Multi-AZ availability, and Read Replicas. You can also run managed NoSQL databases like Amazon DynamoDB
    [Show full text]
  • Performance Evaluation of Nosql Databases As a Service with YCSB: Couchbase Cloud, Mongodb Atlas, and AWS Dynamodb
    Performance Evaluation of NoSQL Databases as a Service with YCSB: Couchbase Cloud, MongoDB Atlas, and AWS DynamoDB This 24-page report evaluates and compares the throughput and latency of Couchbase Cloud, MongoDB Atlas, and Amazon DynamoDB across four varying workloads in three different cluster configurations. By Artsiom Yudovin, Data Engineer ​ ​ Uladzislau Kaminski, Senior Software Engineer ​ Ivan Shryma, Data Engineer ​ Sergey Bushik, Lead Software Engineer ​ Q4 2020 Table of Contents 1. Executive Summary 3 2. Testing Environment 3 2.1 YCSB instance configuration 3 2.2 MongoDB Atlas cluster configuration 4 2.3 Couchbase Cloud cluster configuration 5 2.4 Amazon DynamoDB cluster configuration 6 2.5 Prices 6 2.5.1 Couchbase costs 7 2.5.2 MongoDB Atlas costs 7 2.5.3 Amazon DynamoDB costs 8 3. Workloads and Tools 8 3.1 Workloads 8 3.2 Tools 8 4. YCSB Benchmark Results 10 4.1 Workload A: The update-heavy mode 10 4.1.1 Workload definition and model details 10 4.1.2 Query 10 4.1.3 Evaluation results 11 4.1.4 Summary 12 4.2 Workload E: Scanning short ranges 12 4.2.1 Workload definition and model details 12 4.2.3 Evaluation results 14 4.2.4 Summary 15 4.3 Pagination Workload: Filter with OFFSET and LIMIT 15 ​ 4.3.1 Workload definition and model details 15 4.3.2 Query 17 4.3.3 Evaluation results 17 4.3.4 Summary 18 4.4 JOIN Workload: JOIN operations with grouping and aggregation 18 ​ ​ 4.4.1 Workload definition and model details 18 4.4.2 Query 19 4.4.3 Evaluation results 20 4.4.4 Summary 20 5.
    [Show full text]
  • Microsoft License Mobility Through Software Assurance
    Microsoft License Mobility through SoftwareLicense Assurance Mobility through Software Assurance LICENSE MOBILITY THR OUGH SOFTWARE ASSURANCE Authorized Mobility Partners Customers can choose either Microsoft Azure or an Authorized Mobility Partner to utilize the benefits of License Mobility through Software Assurance. On the following pages is a current list of partners who are authorized to assist Microsoft Volume Licensing customers to deploy their dedicated application server workloads using License Mobility through Software Assurance. Please check with Microsoft Azure or these partners to confirm which services they offer and if they serve your region. If your partner is not currently listed, refer them to the License Mobility through Software Assurance website to complete the Microsoft License Mobility Partner Authorization process. For more information, contact your Microsoft account manager or preferred reseller. Note to Partners: If your information below needs to be updated, please contact your Services Provider License Agreement (SPLA) reseller. July 2017 Microsoft Volume Licensing License Mobility through Software Assurance Authorized Mobility Partner Partner home page Microsoft Azure azure.microsoft.com/en-us/pricing/license-mobility/ @XYZ Pty Ltd www.xyznetworks.net.au «@ scriptum» Ltd www.claster.tel «Data center - AVIS» Limited Liabilty Company www.avis-dc.ru 1ST DNS Ltd www.1stdomains.co.uk 2000 Computers & Networks Pty Ltd www.2000cn.com.au 24 Solutions AB www.24solutions.se 24/7 Business Support Ltd www.247businesssupport.co.uk 2AT B.V. www.2at.nl 2CIT IT-specialist AB www.2cit.se 2E2 (IOM) LIMITED www.2e2.co.im 3 PRO d.o.o. www.3pro.hr 3 Step IT Oy www.nevtor.com 321 Internet Pty Ltd www.321.com.au 3-IT bvba www.3-it.be 3M Cogent, Inc www.cogentsystems.com 3NT Solution LLP www.3nt.com 3rdmill Pty Ltd www.3rdmill.com.au 4 Dimensions A/S www.4dim.it 4d Innovations Group (Pty) Ltd www.eset.co.za 4D TECH (PTY)LTD www.4dtech.co.za 4net AG www.4net.ch 5NINES DATA LLC www.5nines.com 7digital Limited www.7digital.com 7Technology Sp.
    [Show full text]
  • Run Critical Databases in the Cloud
    Cloud Essentials Run Critical Databases in the Cloud Oracle has the most complete data management portfolio for any enterprise workload. Cloud computing is transforming business practices and simplifying data center operations. However, when it comes to moving critical database assets to the cloud, many IT leaders are cautious—and rightly so. They have seen the limitations of popular commodity cloud solutions, which mostly consist of fragmented hardware and software offerings that must be manually configured. IT pros must build their own platforms on top of the service provider’s commodity infrastructure, migrate their data, and then figure out how to keep everything in sync with the apps and data still maintained on premise. Oracle Autonomous Database provides enterprise-level scalability, security, performance, and automation—at a level that often exceeds what you can achieve in your own data center. You can subscribe to complete database platforms with a few clicks, eliminating the need to provision, build, and manage in-house databases and storage systems. With pay-as-you-grow configurations—all managed by Oracle experts— your organization will obtain operational flexibility with zero up-front capital expenses. It’s a great way to lower operational costs because you pay only for what you use. Read on to discover what a powerful cloud database can do for your business. Migrating to a Cloud Computing Model Modern businesses depend on their data more than cloud services work together automatically— ever before. That data is coming at an alarming rate, and in many cases, autonomously. placing crushing demands on data marts, enterprise data warehouses, and analytics systems.
    [Show full text]
  • Cloud Database Battle: AWS Vs. DIY Vs. Oracle
    Cloud Database Battle: AWS vs. DIY vs. Oracle Cloud Database Battle: AWS vs. DIY vs. Oracle by, David Floyer January 18th, 2021 The first premise of this research is that architecting the Oracle Cloud Database service to run on specialized hardware and software, either on-premises or in Oracle Cloud Infrastructure (OCI), allows the cloud database vendor to reduce costs significantly. This approach also allows the vendor to provide autonomous services based on economies of scale that further reduce the operational support costs. The combination of the two methods leads to halving the cost of running today’s cloud database application suites. The second premise is that future synchronous automation of business processes will require real-time integration between systems-of-record, advanced analytic/AI inference systems, and other data and cloud database types. This integration can only be achieved by sharing data between database types. Also, the operation of synchronous applications is too complex for traditional operational processes. Therefore, high levels of cloud database and application automation, and machine learning are imperatives for synchronous application deployment. Oracle Cloud Database is Tier-1 and in a class of its own. Wikibon recommends that larger enterprises with mission-critical workloads should not convert from Oracle to other databases. Instead, Wikibon recommends migrating to Autonomous Cloud Database on Oracle Exadata Cloud@Customer X8M, Oracle Exadata Cloud Service on OCI, or other Oracle Database cloud services. Wikibon recommends that enterprises minimize the number of separate databases and data types and use the converged Oracle Cloud Database instead. © 2021 Wikibon Research | Page 1 Cloud Database Battle: AWS vs.
    [Show full text]
  • Planning and Designing Databases on Aws(Awss04)Englisch
    PLANNING AND DESIGNING DATABASES ON AWS (AWSS04) ENGLISCH In this course, you will learn about the process of planning and designing both relational and nonrelational AWS databases. It will teach you how to use workload requirements to define database design considerations and also explore the features and capabilities of the eight AWS database services. By the end of the course, you will be able to determine which AWS database service is right for your workloads, and design the database to meet your requirements. Target Group • Data Engineers who are new to designing cloud databases or nonrelational databases • Solutions Architects who are designing services or architectures that are integrated with databases • Developers that are building cloud database-enabled applications Prerequisites • Familiarity with AWS Database Services, equivalent to AWS Database Offerings digital training • Understanding of database design concepts, and/or data modeling for relational or nonrelational databases • Familiarity with cloud computing concepts • Familiarity with general networking and encryption concepts • Understanding of the three V’s of data (volume, velocity, and variety) • Familiarity with basic data analytics concepts, equivalent to Data Analytics Fundamentals digital training • Understanding of general architecting best practices and the AWS Well-Architected Framework, equivalent to Architecting on AWS classroom training Main Topics • Apply database concepts, database management, and data modeling techniques • Evaluate hosting databases on
    [Show full text]
  • Recent Trends for Efficient and Secure Accessing Scheme for Cloud Database
    © 2017 IJEDR | Volume 5, Issue 4 | ISSN: 2321-9939 Recent Trends for Efficient and Secure Accessing Scheme for Cloud Database Dr. Santosh S. Lomte1, Swati V. Khidse2 1Principal VDF’s School of Engineering & Technology, Latur, India, 2 PhD Student 1, 2 Department of Computer Science & Engineering, 2Dr. B. A. M. University, Aurangabad, Maharashtra, India. ________________________________________________________________________________________________________ Abstract - Cloud computing provides an enormous amount of virtual storage, it provides access to servers, storage, databases and a broad set of application services over the Internet. Its popularity is growing day by day. Consequently, there is a need for strong authentication schemes for securing access to cloud database. Data protection and security are the primary factors in cloud database for gaining user's trust and making successful use of cloud technology. There are number of data protections and data security techniques that have been proposed in the research field of cloud computing. However, there is need for enhancing data protection techniques. Index Terms—Encryption, Data Protection, Confidentiality, Obfuscation; ________________________________________________________________________________________________________ I. INTRODUCTION Cloud computing allows their users to store and access computing resources and data over INTERNET rather than from the local hard drive. It also helps to increase the storage capacity because users can use more than one cloud services for storing their data and thus reduce the cost because there is no need for owning an expensive computer with larger memory. According to the US National Institute of Standards and Technology (NIST), cloud computing is a model enabling ubiquitous, convenient, on- demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction [1].
    [Show full text]