Couchbase Performs 4.5x Better than MongoDB with Wired Tiger
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
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.
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.
The Couchbase Data Platform delivers unparalleled performance at scale, while also providing the unmatched agility and manageability that today’s businesses require to continually reinvent their customer experiences and maintain their all-important competitive edge. Couchbase Server 5.0 is the latest release of the most powerful NoSQL technology.
Couchbase Server is a scale-out NoSQL database with an architecture designed to simplify building modern applications with a flexible data model, powerful SQL-based query language, and a secure core database platform that provides high availability, scalability, and performance.
In this paper, we explore the overall system architecture, the service each component provides, and the business requirements it addresses.
Read this white paper to learn:
- The different components of a Couchbase Server deployment
- How data are organized and structured in Couchbase Server
- How read and write operations are handled across the cluster
- How the different Couchbase Server components communicate with each other
- The security features of the Couchbase Server
Enterprises are rapidly adopting NoSQL technology to power web, mobile, and Internet of Things applications at scale. But exactly how are they using NoSQL? What are some of the most common use cases? And what are the specific benefits from deploying NoSQL for those applications?
In this report, Altoros compares the architecture of three leading NoSQL databases: MongoDB, DataStax Enterprise, and Couchbase Server.
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.
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.