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MODERN DISTRIBUTED NOSQL



THE DATABASE WITH IN-MEMORY SPEED,
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WHY COUCHBASE?


Couchbase is an award-winning distributed NoSQL cloud database. It delivers
unmatched versatility, performance, scalability, and financial value across
cloud, on-premises, hybrid, distributed cloud, and edge computing deployments.


BUILD FAST, MOVE FASTER

Developers
 

Build applications quickly using our collection of tools, tutorials, and SDKs.
Develop on your stack, deploy in your cloud or at your edge.


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Couchbase is the architect’s choice for NoSQL.


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Operate at scale as a multicloud to edge distributed database. Mix and match
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As a key-value and document database that’s memory first, Couchbase empowers
developers to build responsive and flexible cloud, mobile, and edge computing
applications that scale effortlessly.

• Flexible JSON schema for continuous delivery
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• Fully integrated SDKs for Java, .NET, Scala, Go, JavaScript, and Python
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As a distributed scale-anywhere database, Couchbase guarantees consistent and
dependable performance all day, every day, from the cloud to the edge for all
users.

• Memory-first high-performance design
• Distributed ACID transactions
• Masterless, asynchronous, and geo-aware clustering
• Guaranteed availability via native replication and a distributed cloud-to-edge
architecture

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from a single console, elastically scale with a few clicks, and optimize
services to match your workloads to your infrastructure. Couchbase’s
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• Control your data, clusters, services, and costs
• Exceptional price/performance across workloads
• Flexible per-cluster SLAs
• Multicloud, hybrid-cloud, cloud-to-edge 

 


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“Couchbase is a go-to database for innovators. It’s a modern, yet very mature,
solution that’s been used for years in retail, e-commerce, travel, hospitality,
healthcare, media, and many other industries…”

DENIS ROSA

Developer Advocate


Couchbase guarantees fast and reliable mobile apps
Couchbase Mobile, AWS Wavelength and Verizon 5G Edge enable apps to access,
process, analyze, and sync data from the cloud to the edge to the device -
bringing together the familiarity of SQL, automatic sync, consistent
infrastructure and uninterrupted mobility.


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MEMORY-FIRST

Customers expect and demand fast, responsive applications. Many enterprises will
add an in-memory caching product in front of their relational and NoSQL database
to increase performance and throughput, and to ensure responsiveness. However,
this adds operational and management complexity as well as additional cost.

Built on a memory-first architecture, Couchbase ensures that all operations
occur in-memory and supports special memory-optimized data management options,
including 100% memory resident indexes and data buckets. This optimizes
data-access performance and throughput while also simplifying operational
management and reducing costs. By achieving memory-speed data transfer between
nodes in the cluster, Couchbase avoids traditional database disk I/O
bottlenecks.

Expand

Couchbase leverages its memory-first architecture to transfer data between nodes
in the cluster at the speed of memory, thus avoiding traditional database disk
I/O bottlenecks.

Includes:

Managed caching

Ephemeral (in-memory) data buckets

Memory-optimized global secondary indexes

Read the Couchbase under the hood whitepaper

ELASTIC SCALABILITY

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.

Expand

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.

Includes:

Multi-Dimensional Scaling

PERSISTENCE

Couchbase Server’s architecture guards against most forms of failure, and
protects against data loss. Buckets can be configured for replication to create
data redundancy and to allow for the failure of copies – as long as the data is
available somewhere, it’s not lost. 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.

Includes:

Durability configurations

Read the Couchbase under the hood whitepaper

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.

Includes:

High availability and replication architecture

REPLICATION

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.

Includes:

High availability and replication architecture

EVENTING

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 the Couchbase Data Platform, it requires no
third party solutions to license or new dataops skills to manage.

Learn more:

Couchbase Eventing product page

Couchbase Eventing Fundamentals

Working example of Couchbase Eventing

QUERY

Build and evolve web, mobile, and IoT apps faster using Couchbase’s own query
language, N1QL (“nickel”). N1QL combines the power and familiarity of SQL with
the flexibility and agility of the JSON data model.

N1QL is a declarative query language that extends SQL for JSON data. You can
query data via native framework and language integrations, a fluent and
easy-to-use API, several Couchbase utilities, or available JDBC/ODBC drivers.

With N1QL you can query JSON documents without any limitations: sort, filter,
transform, group, and combine data with a single query. You can combine data
from multiple documents with a JOIN. And you’re not limited to the “single
table” and “table per query” data models often found in other NoSQL products.

Expand

In the Couchbase Mobile 2.0 release, N1QL has also been added to Couchbase Lite.
This allows mobile application developers to leverage their existing SQL
programming skills along with the flexibility of JSON.

Learn more:

N1QL product page

Query Workbench

ANALYTICS

Powerful parallel query processing over JSON data allows you to:

 * Efficiently execute complex, long-running SQL-like queries that contain
   complex joins and set, aggregation, and grouping operations
 * Address the challenges of supporting responsive, scalable apps and ad hoc
   analytics on the same dataset

Couchbase Analytics powerfully combines a common JSON data model with:

 * A SQL-like query language extended for JSON 
 * Effective analytical workload isolation
 * Up-to-date data freshness via a fast memory-to-memory transfer protocol in a
   single platform

This allows app developers and DevOps to build intelligent applications and
dashboards that surface insights to customers and business users in real time
without the overhead and latency of performing separate extract, transform, load
(ETL) operations.

Expand

Learn more:

Couchbase Analytics

FULL-TEXT SEARCH

Built-in Full-Text Search (FTS) makes it simple for developers to add
intelligence to apps. Full-text indexes are automatically managed within the
Couchbase cluster, avoiding the delay, overhead, and complexity of managing a
separate full-text search product and infrastructure.

FTS enables you to create, manage, and query full-text indexes on JSON documents
stored in a Couchbase bucket. It provides powerful capabilities for natural
language queries, including:

 * Stemming, which provides a language-aware manner of searching (e.g., users
   can type "beauties" and find results for "beauty")
 * Scoring, which provides relevance ranking for results
 * Fast multipurpose indexes where a single index can support a wide range of
   possible text searches 
    

Expand

In the Couchbase Mobile 2.0 release, Full Text Search has also been added to
Couchbase Lite. This allows mobile application developers to incorporate
device-local FTS queries and intelligence into their mobile applications. 

Includes:

FTS in Couchbase Server

FTS in Couchbase Mobile

Full-Text Search (FTS) product page

INDEXING

An index is a data structure that provides a quick and efficient means to query
and access all your data without scanning every document. Applications can query
Couchbase Server in one of the following ways:

 * Using key-value access – Applications directly access data through the data
   service with document keys for fastest access
 * Using N1QL – Applications use SQL-like syntax with global secondary indexes
   or MapReduce views to speed up queries
 * Using Couchbase View API directly – Applications directly query the MapReduce
   view indexes or spatial views for purpose-built precomputed indexes

Includes:

Indexing overview

KEY VALUE

Customer experience depends on app performance and behavior, which in turn
depends largely on database performance and throughput.

At the heart of the Couchbase Data Platform is a distributed key-value (KV) data
store. It’s an extremely simple, lightning fast, schemaless data management
system that stores a unique ID (key) and a piece of arbitrary information
(value). The key is hashed by the Couchbase client library, automatically
sharded, and directly sent to the appropriate data service node in the Couchbase
cluster. 

The KV store is accessed using simple create, read, update, delete (CRUD) APIs,
and thus provides a simpler interface when accessing documents using their IDs
(primary keys). Due to their simplicity, KV operations execute with extremely
low latency, often sub-millisecond.

Applications can access data stored in the Couchbase Data Platform using a
variety of interfaces, including the KV API, MapReduce views, N1QL queries, Full
Text Search, and the Analytics Service. For simple CRUD operations using the
primary key, the KV API is the fastest and most efficient way of accessing the
data. 

Includes:

Key-value data access

MOBILE

Couchbase gives you a full-stack data platform for your mobile and IoT apps,
including built-in real-time data synchronization, enterprise-level security,
and data integration with your existing ecosystem.

Your mobile and IoT apps leverage the full power of the Couchbase Data Platform
by using Couchbase Server, Couchbase Sync Gateway, and Couchbase Lite to enable
secure online and offline data access, as well as automatic data synchronization
from device to the backend.

Data integration APIs let you integrate with your existing systems of record,
data warehouses, and other legacy systems via Sync Gateway or Couchbase Server.

Expand

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.

Includes:

Couchbase Mobile

Lite

Sync Gateway

BIG DATA AND SQL INTEGRATIONS

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. The JDBC and ODBC
drivers by Simba and the ODBC, JDBC, ADO.NET, OData, SSIS, BizTalk, and Excel
drivers by CData allow you to use any standards-compliant tool with Couchbase.
Couchbase also provides instructions and connector technology for specific BI,
visualization, and ETL tools, including Tableau, Qlik, SlamData, Knowi, Excel,
Power BI, Looker, Informatica, Talend, TIBCO, and many others.

Includes:

Big data integrations

SQL integrations

UNIFIED PROGRAMMING MODEL

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. A set of
Server and Mobile REST APIs are also available for queries, system
configuration, and administration.

Additional SDKs – including specific API implementations and SDKs for Java, PHP,
Ruby, Erlang, Perl, TCL, and ColdFusion – are available from the open source
community. For more information, see the open source projects from the community
list. 

Learn more:

Couchbase SDK product page

Get started with the Couchbase SDKs

Server REST API

Mobile REST API

FULL-STACK SECURITY

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. The Couchbase Data Platform 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.

Includes:

Couchbase Server security

Couchbase Mobile authentication

Couchbase security best practices

Security in Couchbase Mobile deployments

CONTAINER AND CLOUD DEPLOYMENTS

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.

The Couchbase Data Platform 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 provides easily deployed pre-built modules on AWS, Google Cloud
Platform, and Microsoft Azure marketplaces. 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 multi-cloud deployment. 

Includes:

Get started on AWS, Azure, and Google Cloud Platform

Couchbase cloud product page

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