Memory-optimized global secondary indexes. Read the Couchbase under the hood whitepaper. As part of the core database engine, Couchbase provides an elastic Multi-Dimensional Scaling MDS architecture that supports both scale-up and scale-out approaches.
MDS allows you to separate the different data processing workloads as distinct, independently scalable services. You can independently configure and scale up or out the data, index, query, Full Text Search, and Analytics Services based on your data management processing requirements and application workloads. This gives you both the scalability to deliver responsive customer applications and the flexibility to adapt to new and changing workloads and application requirements.
MDS is particularly well-suited for the cloud where compute, storage, and memory resources are typically allocated and expensed separately. MDS allows you to independently configure and scale your compute, storage, and memory resources for each service. This results in a more efficient allocation and use of resources, ultimately reducing your overall cost of operations in the cloud.
Multi-Dimensional Scaling. Data is also written to the disk, so in the case of a power outage or software crash, data can be retrieved from the disk during recovery. Depending on durability and performance requirements, users can configure the right durability options to meet their application needs.
Durability configurations. Couchbase manages transactions automatically, storing metadata in the system as your application executes transactional logic.
Couchbase's traditional strong consistency across single documents is now complemented by multi-document, distributed ACID transactions. Scalability and High Availability. Couchbase transactions are designed to take advantage of the highly distributed, highly performant nature of the Couchbase architecture.
Care has been taken to ensure that there are no single points of contention, so that your transaction throughput will scale as your system does. ACID transactions in Couchbase. Distributed ACID transactions. Couchbase Server provides high availability for reading and writing of data through a variety of features.
Couchbase provides high availability using intra-cluster replication and index replication, and disaster recovery using cross datacenter replication XDCR. Intra-cluster replication Intra-cluster replication involves replicas that are placed on another node in the same cluster. In the event of failure of a single node, this ensures that data is still available on other nodes that can provide full read and write ability to the applications. Cross datacenter replication Using the cross datacenter replication XDCR capability, you can set up replication of data between clusters.
XDCR helps protect against datacenter failures and also helps maintain data locality in globally distributed mission-critical applications. Index replication Index replication support has been added to improve high availability and manageability of indexes. Users can specify the number of replicas to create, and the system will manage the placement of the index replicas on different index nodes, server groups, and availability zones.
High availability and replication architecture. Couchbase Eventing is a highly available, performant, and scalable service which enables user-defined business logic to be triggered in real time on the server when application interactions create changes in data. Eventing makes it easy to develop, deploy, debug, and maintain data-driven functions from a centralized platform.
Natively integrated with Couchbase, it requires no third-party solutions to license or new dataops skills to manage. Whether you have hundreds, thousands, or millions of devices, Couchbase Server and Sync Gateway are independently scalable in real time, enabling you to keep up with changing demands. Couchbase Sync Gateway. Introduction to Couchbase Mobile. Introduction to Couchbase Lite.
Introduction to Couchbase Sync Gateway. Mobile-Server Data Sync. Rich, immersive apps need to leverage data across the entire data management ecosystem, including SQL and big data databases and tools. Couchbase includes built-in big data and SQL integration to allow you to build intelligent apps in less time by leveraging your tools, processing capacity, and data — wherever it may reside.
Big data integration is provided via high-performance scalable connectors for Hadoop, Kafka, Spark, and Elasticsearch that leverage the latest advances and features available in these rapidly emerging technologies.
SQL integration is enabled in a couple of different ways. Couchbase gives you simple connectors and tools and uniform application development APIs across multiple programming languages, making it easier to build applications and reducing your time to market. Are you a Mobile or IoT developer? Couchbase lets you seamlessly move data from the datacenter to the cloud and the edge.
The Couchbase SDKs provide native support for synchronous, asynchronous, and event-driven programming models in the languages that support them. For more information, see the open source projects from the community list. Learn more: SDKs. Includes: SDKs: Java ,. NET , Node. Although security is fairly standard in the relational database world, in the NoSQL world it varies significantly from product to product. With Couchbase, your data is secure everywhere — on the wire, on the device, in the cloud, and in the datacenter.
Couchbase provides built-in and configurable full-stack security for authentication, authorization, encryption over the wire, and auditing. Via our technology partners, we also provide encryption, data masking, and field-level security. Couchbase Server security. Couchbase Mobile authentication. Couchbase security best practices. Security in Couchbase Mobile deployments. Couchbase enterprise security. A cloud-first strategy is key to constant innovation and the ability to respond to fast-changing business needs.
However, a successful cloud-first strategy must weigh the options of public, private, hybrid, and multi-cloud deployments, while trying to avoid vendor lock-in and unforeseen operational issues.
Couchbase is cloud-native and architected to work on any cloud. Differentiated functionality like auto-sharding, shared-nothing, memory-first architecture, Multi-Dimensional Scaling, cross datacenter replication XDCR , zone- and region-aware replication, and a cloud-based Sync Gateway make Couchbase uniquely suited for cloud deployments.
Couchbase also supports a variety of container and virtualization technologies, including partnerships with Joyent, Docker, and Red Hat OpenShift, to enable operational excellence across any kind of public, private, hybrid, or multicloud deployment. Autonomous Operator. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns.
Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets. This enables elastic scaling, resource fencing as well as instantaneous data replication for high- availability, global geo-distribution, and disaster-recovery.
The result is a database that is resilient, cost-efficient, and built for metered usage. This cloud-native architecture combined with Kubernetes K8s delivers a self-managed autonomous database. Couchbase Server Introduction Why Couchbase? A distributed database. No more scaling or availability issues. A cache and a database.
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