Whitepapers

Why NoSQL?

Application requirements have fundamentally changed, and traditional RDBMS technology has failed to keep pace. As a result, the use of NoSQL technology is rising rapidly. Massive change is underway, disrupting the database status quo.

The Forrester Wave™: Big Data NoSQL, Q1 2019

The Forrester Wave™: Big Data NoSQL, Q1 2019 report has just been released, and you can get it right here, compliments of Couchbase.

In the report, Forrester says that, “NoSQL has become critical for all businesses to support modern business applications,” and that, “enterprises like NoSQL’s ability to scale out using low-cost servers and a flexible, schemaless model that can store, process, and access any type of business data.”

Using a 26-criterion evaluation, Forrester identified the 15 most significant NoSQL providers and researched, analyzed, and scored them. This report shows how each provider measures up, and helps enterprise architecture professionals select the right one for their needs. Get your copy now, and find out why Couchbase was named a Leader.

Time to Say Yes to NoSQL, Frost & Sullivan, 2018

This whitepaper from Stratecast and Frost & Sullivan details why now is the right time to make your move to NoSQL, how to navigate the NoSQL marketplace, and how to reap the maximum benefits of NoSQL right from the start.

Moving From Relational to NoSQL for Oracle Users

Why use NoSQL? Innovative companies like AT&T, GE, and PayPal have successfully transitioned from relational to NoSQL for their critical web, mobile, and IoT applications. By understanding where to introduce NoSQL, how to model and access the data, and how to manage and monitor a distributed database, you can do the same. This white paper explains the need for non-relational databases, describes advantages of NoSQL, and clarifies the important difference between SQL and NoSQL databases.

Moving From Relational to NoSQL for SQL Server Users

As NoSQL database technology is increasingly being chosen as a viable alternative to relational databases, developers need to approach application development and data modeling differently. Get started by learning more about the advantages of moving from Relational to NoSQL in this whitepaper.

Couchbase Under the Hood: An Architectural Overview

Couchbase is an open source, distributed, document-oriented NoSQL database. This paper describes how the internal components of the database operate with one another, and how Couchbase’s core design principles – memory and network-centric architecture, workload isolation, and an asynchronous approach to everything – are focused toward the highest standards for agile development, scalable performance, and system manageability.

You’ll be introduced to key Couchbase concepts. You’ll take a deep dive into Couchbase’s services for data and KV engine, key-value data access, query, index, search, eventing, analytics, and mobile. And you’ll learn how Couchbase’s distributed foundation handles inter-node connectivity, data flow, cluster topology, data streaming, and more.

How to Choose a Database for Your Mobile Apps

Today’s consumers rely on their mobile apps no matter where they are. If your apps are sluggish and slow or don’t work at all when there’s no internet connection, your customers will start looking for other apps that work all the time. To help you provide the always-on experience customers demand, database solutions like Couchbase Mobile have added synchronization and offline capabilities to their mobile database offerings.

This white paper helps you choose the best mobile database for your needs based on 6 key evaluation questions:

• Does it have support for the right platforms?
• Is data secure at rest and in motion?
• Do you have a flexible data model?
• How does your database handle pesky conflicts?
• Does your database sync at the right times?
• Does your database sync using the right topology?

We also help you answer one last critical question: Should you build or should you buy? Get your white paper now for the answers you need.

Technical NoSQL Comparison Report, Altoros, 2019

Numerous NoSQL solutions claim to solve common big data problems like data structure organization and data access management. But because of significant differences in implementation, it’s important to recognize the comparative strengths and weaknesses of each vendor.

This in-depth analysis from Altoros compares three leading NoSQL solutions – Couchbase, MongoDB™, and DataStax – and scores them across 24 key criteria, including performance, availability, ease of installation, data consistency, fault tolerance, replication, recovery, and scalability. The report uses data from real-world development and production, regularly conducted benchmarks, and product documentation in order to recommend the best database based on your specific needs.

NoSQL Performance Benchmark 2018, Altoros, 2018

In this report, Altoros evaluates and compares the latency and throughput of the three most popular NoSQL databases – Couchbase Server, MongoDB™, and DataStax Enterprise (Cassandra) – under different cluster configurations and workloads using the Yahoo! Cloud Serving Benchmark (YCSB).

The evaluation was conducted on different cluster configurations of 4, 10, and 20 nodes under four different workloads. The four workloads tested were an update-heavy workload, a short-range scan workload, a query with filter including an offset and limit, and a JOIN query with grouping and ordering. You’ll see exactly how Couchbase consistently outperformed the competition across configurations and workloads.

DynamoDB Users: Why Switching to Couchbase Will Save You Time and Money

Businesses using the Amazon Web Services (AWS) cloud often store their data in Amazon’s DynamoDB database with the expectation of tighter integration with AWS tools. This whitepaper explains why Couchbase’s NoSQL database is often a better choice for higher performance, lower cost, and greater flexibility. You’ll learn how Couchbase lets you:

• Avoid DynamoDB’s item-size restrictions

• Speed up performance with in-memory processing and built-in caching

• Use your team’s existing SQL skills for writing complex queries

• Easily implement a hybrid or multicloud strategy

• Cut license and support costs by up to 50%

Couchbase vs. MongoDB™ for Scale-Out and High Availability

Couchbase is a distributed NoSQL document-oriented database with a core architecture that supports a flexible data model, easy scalability, consistent high performance, always-on 24/365 characteristics, and advanced security. Many enterprises have chosen Couchbase over the popular MongoDB™ after rigorously evaluating both NoSQL databases side by side.

In this paper, we’ll focus on how Couchbase compares to MongoDB™ for scalability and high availability. More specifically, we’ll discuss: The ability to scale enterprise applications easily, efficiently, and reliably. Scaling single services instead of the entire database. Avoiding downtime and maintaining high availability 24/7 with replication, automatic failover, and online operations.

High Performance Applications With Distributed Caching

For many web, mobile, and IoT applications that run in clustered or cloud environments, distributed caching is a key to delivering highly responsive user experiences and lowering capital and operating costs.

In this whitepaper, you’ll learn how different distributed caching solutions attempt to solve the common challenges of performance, manageability, and scalability. You’ll be able to compare strengths and weaknesses of three popular caching solutions: Couchbase Server, Redis, and Memcached. You’ll find out why many leading enterprises have extended their Couchbase deployments to use cases beyond caching. And you’ll see how Couchbase stacks up against top NoSQL database competitors in third-party benchmark testing.

Dealing With Memcached Challenges

Are you dealing with memcached problems like cold cache, heavy contention of RDBMS resources and lack of scale-out flexibility? Download this white paper to see how Couchbase can be a drop-in replacement for memcached servers and what you should consider when migrating existing memcached-based applications to Couchbase Server.

Couchbase vs. MongoDB™ for Query

This whitepaper explores how the popular NoSQL databases Couchbase and MongoDB™ differ significantly in their approach to query. Among many key differences, you’ll learn why:

• Couchbase provides the power and familiarity of SQL, while MongoDB requires developers to learn a proprietary language

• MongoDB puts the burden of optimizing queries on the developer while Couchbase’s declarative language shifts the burden to the database

• MongoDB’s complex query language can’t match Couchbase’s strong support for ANSI join constructs and advanced query optimization

Developing High Availability Applications

Mission critical applications need a database that is always on. While intra-cluster replication helps with server failures giving you high availability, your system still remains at risk from catastrophic failures. You may also need a way to improve the response time for users when they are globally distributed by replicating information closer to them. 

Couchbase vs. MongoDB™ for Global Deployment

Many enterprises that rely on their NoSQL database for global deployments choose Couchbase over MongoDB™ because of Couchbase’s unmatched scalability and high availability. This whitepaper compares the two solutions head to head across key global deployment criteria, including high-performance architecture, flexibility, setup and manageability, active-active conflict resolution, and more. You’ll learn how only Couchbase supports both intra-cluster replication and cross datacenter replication (XDCR) – an easy way to replicate data for disaster recovery and better data locality. And you’ll discover why Couchbase is the better choice for flexible data access, low latency, high throughput, geographic replication, and offline access.

Autonomous Operator: Run and Manage Couchbase Autonomously on Red Hat OpenShift

This brief explains how Couchbase – the first NoSQL database vendor to have native integration with Kubernetes Operator – lets you use Couchbase Autonomous Operator to easily deploy, manage, and monitor Couchbase on the Red Hat OpenShift Container Platform.

Learn how you can run Couchbase as an autonomous, fully managed stateful database application next to your microservices applications. How Autonomous Operator lets you treat cloud providers like commodities and freely migrate between clouds. And how to reduce operational complexity up to 95% by implementing the operational best practices for Couchbase.

Accelerating Data-Driven Applications With Couchbase and Spark

Apache Spark is the leading in-memory analytics processing engine. Couchbase Server is the leading memory-first architectured NoSQL database. Combining these two best-of-breed technologies enables your business to execute real-time analytics for instantly actionable operational insights. 

Read this white paper to find out:

• How Couchbase provides Spark users with the lowest latency, highest throughput, most reliable NoSQL data source and target 
• How Spark enables Couchbase users with rich, scalable analytics for their operational applications
• How to move data between Couchbase and Spark using RDDs, DataFrames, Datasets, and DStreams

Sample RFP: NoSQL Database Evaluation Criteria

Are you scoping a database for your enterprise applications? This Sample RFP will help you evaluate Couchbase or any other NoSQL database to meet your high scalability, availability, and developer agility requirements.

The Sample RFP provides a detailed checklist of 18 key criteria covering development, performance, scale, and management requirements. The rest of the paper walks you through the criteria one by one and shows you how Couchbase is designed to help you solve the toughest challenges. You’ll also find links to dozens of other resources that will enable you to complete a thorough evaluation.

Best Practices for Data Protection and Security in Couchbase

This whitepaper explores the top three concerns driving enterprise data security, and explains how the Couchbase Data Platform is uniquely able to provide end-to-end security control from the “core” (datacenter or cloud) to the “edge” (mobile device or embedded system).

Powering Business-Critical Applications: Business Value of the Couchbase NoSQL Database, IDC, 2017

Traditional relational databases simply weren’t designed to meet the ever-increasing demands of today’s digital economy. As a result, leading businesses are quickly making the move to modern “systems of engagement” like the world’s first Engagement Database from Couchbase. In this whitepaper, IDC shares how Couchbase customers experienced an average of 274% ROI over 5 years, 19% faster new development cycles, $5.41M in additional revenue per year, and 37% more efficient database management.

2018 CIO Survey Report: Are Organizations Realizing Their Digital Revolutions?

In the new age of the massively interactive enterprise, the digital revolution isn’t just moving ahead – it’s picking up steam. According to 85% of digital decision-makers, disruption has accelerated in their industry over the past year. And 37% say the pace of change is rapid. So, who’s taking the lead in this revolution? Who’s falling behind? What technology enables innovation, or stands in the way? And what’s at risk if your company doesn’t keep up.

Couchbase Directs Latest Mobile Release Toward Driving the Customer Experience, 451 Research, 2018

The fresh release of Couchbase Mobile 2.0 is a significant milestone built on several years of research, development, and customer feedback. In this third-party report, 451 Research reviews the new release within the context of digital transformation, customer experience, and the growing adoption of NoSQL in the enterprise. You’ll learn about Couchbase Mobile’s:

• Innovative updates for full-text search, better data recovery, and enhanced syncing

• Focus on strengthening customer engagement and improving customer experience

• Top use cases, including specific customers such as Tommy Hilfiger and United Airlines

• Strengths, weaknesses, opportunities, and threats in relation to NoSQL, RDBMS, and cloud platform competitors

8 Data Requirements Transforming Retail Applications

Many of today’s retailers and e-commerce companies are replatforming their existing applications using NoSQL. Their goal is to deliver better customer experiences, manage more users and data, cut costs, reduce time to market, and meet competitive pressures from behemoths like Amazon.

This brief explores why industry leaders are choosing NoSQL databases and a microservices-based approach for their replatforming initiatives. It explains how the Couchbase NoSQL database addresses 8 key requirements for engaging modern digital shoppers. And it shows you how Couchbase customers like PayPal, Tesco, Staples, and Louis Vuitton provide superior shopping experiences with elastic scalability, high performance, high availability, and always-on mobile capabilities.

Database Design for Retail Inventory and Product Catalogs

Today’s leading retailers and e-commerce companies are embracing NoSQL database technology to power their web and mobile applications. Why? Because NoSQL is better than relational technology at meeting their demanding requirements for performance, scalability, availability, agility, and affordability.

This brief introduces you to NoSQL by showing you how easy it is to build a product and pricing catalog using the Couchbase NoSQL database – including code samples for data modeling and querying. You’ll also see how Couchbase fits into a catalog and inventory architecture, learn about other retail and e-commerce applications commonly built on Couchbase, and get real-world customer case studies.