See why Gannett switched from SQL Server to Couchbase NoSQL

After running into performance, scalability, and cost issues with SQL Server, media giant Gannett chose Couchbase to power the CMS that supports USA Today and 90+ other publications – reducing costs by 75 percent.

Relational to NoSQL: How to get started from SQL Server

Register for this webinar to get practical advice about:

  • >> Key considerations in moving from relational to NoSQL
  • >> Applications and use cases that benefit most from NoSQL
  • >> Data modeling and querying with NoSQL
  • >> Migrating your data to NoSQL
  • >> Best practices for making the switch

Attend the live webinar to get your NoSQL questions answered in real time.

Top 5 reasons companies replace SQL Server with Couchbase

If you’re running into limits with SQL Server (or other relational databases) – either in terms of rising costs and complexity, or in scaling to meet your requirements – we invite you to evaluate Couchbase Server as your NoSQL solution.

Many companies have chosen Couchbase either to complement SQL Server and other relational databases, or in some cases replace them. Their top 5 reasons:

1

Easier to scale

Whether running on 3 nodes or hundreds – in 1 data center or many – Couchbase Server is based on a distributed architecture to scale on commodity hardware with ease, regardless of the operating system.

2

Better performance

Couchbase Server features an integrated cache, memory-optimized indexes, and memory-to-memory replication to deliver consistent, high throughput with submillisecond response time, at any scale.

3

Up to 40x lower cost

With subscriptions based on the number of instances, Couchbase Server typically costs 5-40x less than SQL Server and its per-core based licensing – especially on servers with many cores.

4

Cross-platform

Couchbase Server can be deployed on Windows or Linux (Red Hat, Ubuntu, Debian, and more), simplifying deployment and administration by decoupling the database from the operating system.

5

Greater agility

With a JSON-based data model and a SQL-based query language, Couchbase Server enables developers to build applications easier, faster, and without the need for complex object/relational mapping.

NoSQL use cases

Profile Management

Profile management

User-facing applications depend on low latency, rich profile management to enable online transactions, user preferences, authentication, and more. Relational databases struggle to provide the required scalability, data flexibility, and demanding performance. So enterprises increasingly turn to NoSQL – and Couchbase in particular – to manage profiles for millions of users.

Content Management

Content management

Rich content is a core requirement for every enterprise. Users need fast, easy access to structured, semi- and unstructured data, including text, photos, video, and more, but relational databases have limited support for multi-structured data. Couchbase Server’s flexible data model and distributed architecture make content management fast, easy, and scalable.

Catalogs

Catalogs

Catalogs are everywhere. They’re extensively used by web and mobile applications. They enable point-of-sale terminals, self-service kiosks, and many other Browse-to-Buy use cases. Scale-up relational databases, with their rigid schemas, are often unable to provide the necessary flexibility and cost-effective scalability. Couchbase Server provides a flexible, scalable, reliable database platform that supports the variety and volume of data required by today’s digital catalog applications.

Personalization

Personalization

Personalization enables the right engagement – an ad, a coupon, a recommendation, and more – with the right visitor at the right time. Personalization requires the ability to ingest, process, and utilize a vast amount of data from multiple sources. While relational databases struggle to meet the requirements for scale-out, high throughput read and write operations, Couchbase provides the flexibility, scalability and throughput to deliver rich, personalized customer experiences.

Switching to NoSQL is easier than ever

For Developers

SQL-based query language: N1QL supports filtering, projection, aggregation, and more

Flexible JOINs: query related data with left outer and inner joins, utilizing indexes on either side

Prepared statements: create prepared statements to improve query performance

Powerful indexing: create simple, compound, partial, functional, and covering indexes

Query editor: create ad hoc queries, display the results, and browse automatically inferred schemas

For Administrators

Query monitoring: list active queries, completed long-running queries, and prepared statements

Elastic scaling: with automatic replication and partitioning, add instances with the push of a button

Multiple data centers: built-in, bidirectional replication between data centers or cloud zones

Enterprise security: deploy in secure environments with encryption, LDAP, auditing, RBAC, and more

Disaster recovery: perform high performance, streaming backup/restore operations with confidence

Read the White Paper - Relational to NoSQL: Getting Started from SQL Server

The “Relational to NoSQL” white paper is a great way to get a jumpstart. It walks you through identifying the applications that will benefit most from NoSQL. It takes a deep dive into migrating, modeling, and querying your data with NoSQL. And it covers how to install, manage, and monitor your NoSQL database.