Couchbase Presents at Cloud Field Day 17

Couchbase: The Cloud Database Platform for Modern Applications

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Modern customer experiences need a flexible database platform that can power applications spanning from cloud to edge and everything in between. Couchbase’s mission is to be the premiere cloud database platform for organizations building the applications of the future. Join Jeff Morris, VP of Product Marketing, for an introduction to Couchbase and what sets our cloud database platform apart from the rest. He will cover Couchbase’s differentiated architecture, why our DBaaS Capella so unique, primary use cases and some special announcements on what’s new in the latest Capella release.

During the Couchbase introduction on National Cloud Database Day at Cloud Field Day, Jeff Morris highlights the key aspects of Couchbase’s background and the challenges faced by their customers. He emphasizes the need for delivering personalized and highly available applications with real-time capabilities, which has led to a shift towards cloud deployments. Customers are increasingly concerned about rising cloud costs and the complexity of building and managing complex architectures. Couchbase addresses these issues by offering a high-performance, multi-model NoSQL database with features such as search, eventing, and mobile synchronization. The company’s goal is to help customers build better applications faster, reduce infrastructure complexity, and lower costs, ultimately delivering more features in less time and saving money.

Personnel: Jeff Morris

Couchbase in a Cloud NoSQL Database Comparison

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Organizations have a variety of NoSQL databases to choose from – and understanding the differences between them is critical when planning to deploy a NoSQL database in the cloud. Jeff Morris, VP Product Marketing at Couchbase, compares Couchbase’s award-winning Database-as-a-Service (DBaaS) Couchbase Capella against top NoSQL competitors. Find out how Capella stacks up against competing DBaaS document store offerings and see why Capella stands out from the rest for ease of getting started, multicloud deployment, and price/performance – particularly as application needs grow.

Jeff Morris provides an overview of Couchbase, highlighting its key features and advantages over competitors. He emphasizes that customers primarily choose Couchbase for its performance and the flexibility of a multi-model data store. The platform supports mobile application development and helps reduce the cost of cloud operations. Morris discusses Couchbase’s memory-first design, which enables fast data processing, and its ability to scale services independently for optimal performance. He explains how Couchbase achieves active-active clustering and distributed systems through virtual buckets and application awareness. While migrating from a different database to Couchbase may require some work for developers, the portability of query languages makes the transition smoother. Morris compares Couchbase to MongoDB, highlighting Couchbase’s memory-first design, scalability, low latency, and comprehensive capabilities. He emphasizes Couchbase’s SQL++ query language, which offers powerful querying capabilities similar to relational databases. Customer surveys indicate significant cost savings and improved overall total cost of ownership (TCO) when using Couchbase. Additionally, Couchbase’s Capella database as a service further reduces costs and operational complexities. The presentation concludes by providing an overview of Couchbase’s deployment options and its autonomous operator feature, which includes self-healing and auto-scaling capabilities.

Personnel: Jeff Morris

Couchbase Capella Spring Release: Enhancing Modern Applications with New Features

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Jeff Morris introduces National Cloud Database Day and announces the Couchbase Capella Spring Release and Couchbase Server 7.2, which introduce significant enhancements to support modern applications. The database now includes time series data support in JSON for IoT and financial applications, as well as user-defined functions for transforming and accessing data. Change data capture and cross-base optimization for JSON queries have been added, along with a multi-parallel processing analytic service that aggregates data from Couchbase and cloud storage. Additional features include memory-only buckets for caching, integrations with Netlify and Visual Studio Code, dynamic disk expansion, cluster hibernation, and improved support for cloud service providers.

Personnel: Jeff Morris

Couchbase Powers Diverse Industries with Personalized Experiences and Efficient Data Management

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Jeff Morris discusses the wide range of use cases for Couchbase and the benefits it provides. Couchbase is utilized in various industries such as travel, hospitality, telecommunications, retail, financial services, media, and entertainment. It offers features like JSON support, efficient account profile management, and matching dynamic catalogs. The examples mentioned include applications for inventory management, customer loyalty programs, fraud detection, streaming services, customer service improvement, rescue operations, preflight checklists, and more. Couchbase enables personalized experiences, offline-first functionality, and high-speed performance in critical activities.

Personnel: Jeff Morris

How to Build a Multi-Model Data Platform with Couchbase Capella DBaaS

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Capella is a fully managed JSON document and key-value database with SQL access and built- in full-text search, eventing and analytics. It easily supports a broad range of modern application use cases with multi-model and mobile synchronization capabilities and allows customers to use the programming language of their choice. Capella’s memory-first architecture drives blazingly fast millisecond data responses at scale, resulting in best-in-class price performance of any fully managed document database. In this demo, Tom will show how fast and easy it is to spin up a multi-model data platform with Couchbase’s DBaaS, Capella.

Tom McSpiritt discusses the Couchbase Capella demo. He explains that Couchbase is a multi-model data platform offering different data access patterns through SDKs for building applications. Tom demonstrates various features of Capella, including a sample configuration, document access, index definitions, and full-text search. He also explains that Couchbase allows deployment across different cloud providers and supports regions for flexibility. Tom discusses the control plane and data plane in Couchbase, mentioning that while the control plane is hosted by Couchbase, the data plane can be deployed in the customer’s own VPC with the ability to connect through VPC peering, private links, or public endpoints. He emphasizes that each customer gets their own isolated tenancy for data storage. Tom further explores monitoring tools, SQL queries, indexes, and access settings in Capella. He addresses questions about common connect strings, IP access control, IAM authentication, and automation capabilities. Finally, Tom demonstrates the Couchbase SDKs, showing a Python example of a key-value retrieval.

Personnel: Tom McSpiritt

Future of Databases in the World of Cloud, Edge and AI with Couchbase

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Couchbase has reimagined the database with its fast, flexible and affordable cloud database platform Capella, allowing organizations to quickly and cost-effectively build the applications of the future and deliver premium experiences to their customers. Capella uniquely has built-in application services so developers can easily build always on and always reliable apps. With big trends like cloud, AI, edge and digital transformation all colliding, what does the future of applications look like? And how will the database have to evolve to meet the demands of next-gen apps?

In this conversation, Ravi Mayuram, the CTO of Couchbase, discusses the evolution of Couchbase from a simple key-value cache to a distributed database capable of handling transactions seamlessly. He emphasizes the need to modernize databases and consolidate multiple layers of technology to avoid data sprawl and other related issues. Couchbase’s key capability is its support for flexible JSON data without the need to define a schema upfront. It can function as a cache, key-value store, or a full-fledged SQL database with the ability to perform full-text searches on JSON. The architecture allows for multi-dimensional scaling, analytics, eventing, and distributed replication across geographies, enabling operational, analytical, and translytical use cases. Ravi also mentions the visibility and performance insights available through the administration console and REST APIs. He highlights the platform’s versatility, supporting hybrid cloud deployments and offering the same features and capabilities in both self-hosted and Capella environments. The conversation further touches upon the challenges enterprises face in managing data sources, the importance of data strategy aligning with business goals, and the data mesh concept of organizing data domains. Couchbase and Capella play a crucial role in facilitating data consolidation and serving as systems of truth in the data mesh architecture.

Personnel: Ravi Mayuram