TrustRadius Insights
Couchbase is widely used by various organizations and companies for agile access to information in a secure and robust infrastructure. …
Overview
What is Couchbase Server?
Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid…
Recent Reviews
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Popular Features
- Availability (96)9.393%
- Scalability (95)9.393%
- Data model flexibility (95)8.989%
- Performance (97)8.888%
Pricing
N/A
Unavailable
What is Couchbase Server?
Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid and private cloud deployments.
Entry-level set up fee?
- Setup fee optional
For the latest information on pricing, visithttps://www.couchbase.com/pricing/#couc…
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
28 people also want pricing
Alternatives Pricing
What is Redis™*?
Redis is an open source in-memory data structure server and NoSQL database.
What is MongoDB?
MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format…
Product Demos
Module 1 - Couchbase Server Installation_04 - Hands-On Couchbase DBA | Kishore Uppala
YouTube
Module 1 - Install CentOS In Virtual Box_03 - Hands-on Couchbase DBA | Kishore Uppala
YouTube
Module 1-Installation & Configuration_02-Hands-on Couchbase Database Administration | Kishore Uppala
YouTube
Module 1 - Introduction Overview_01 - Hands-on Couchbase Database Administration | Kishore Uppala
YouTube
Learn Couchbase In 1 Hour - Complete Couchbase Tutorial - Couchbase Tutorial For Beginners
YouTube
How to configure Couchbase Server 5.0
YouTube
Features
Return to navigation
Product Details
- About
- Integrations
- Competitors
- Tech Details
- FAQs
What is Couchbase Server?
Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid and private cloud deployments.
Built on NoSQL technology, Couchbase Server is designed to deliver performance at any scale across any cloud. With its memory-first architecture, latency is measured in milliseconds. And with a JSON document foundation, geo-distributed deployments, workload isolation, and high-density storage, Couchbase is presented as an ideal database for scalable, mission-critical applications. To round off the solution, Couchbase has an SQL-compatible query language (SQL++) and dynamic schema structures, to make it easy to migrate from RDBMS.
The vendor states that current customers include industry leaders Amadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney, DreamWorks Animation, eBay, Marriott, Neiman Marcus, Tesco, Tommy Hilfiger, United, Verizon, Wells Fargo, as well as hundreds of other household names.
Couchbase Server Features
NoSQL Databases Features
- Supported: Performance
- Supported: Availability
- Supported: Concurrency
- Supported: Security
- Supported: Scalability
- Supported: Data model flexibility
- Supported: Deployment model flexibility
Additional Features
- Supported: Multi-Dimensional Scaling (MDS)
- Supported: Cross Data Center Replication (XDCR)
- Supported: Flexible Schema (JSON + N1QL)
- Supported: Full Text Search (FTS)
- Supported: Analytics
- Supported: Mobile & IoT Integration
- Supported: Memory-First Architecture
- Supported: Big Data & SQL Integration
- Supported: Key Value
- Supported: Cloud Native
- Supported: Query
Couchbase Server Video
What is Couchbase?
Couchbase Server Integrations
Couchbase Server Competitors
Couchbase Server Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux, Mac |
| Mobile Application | Apple iOS, Android, Windows Phone, Mobile Web, IoT devices using our .NET and Java libraries |
Frequently Asked Questions
Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid and private cloud deployments.
Reviewers rate Availability and Scalability highest, with a score of 9.3.
The most common users of Couchbase Server are from Mid-sized Companies (51-1,000 employees).
Comparisons
Compare with
Reviews and Ratings
(204)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Pros
- Cons
- Recommendations
Couchbase is widely used by various organizations and companies for agile access to information in a secure and robust infrastructure. Users have found Couchbase to be an efficient and easy-to-use solution for developing web apps, mobile apps, and IoT applications. It offers scalability, high availability, and performance, making it crucial for designing applications that can handle global customer needs.
Couchbase is utilized in various areas of companies, including human resource management, accounting, and receipt and delivery departments, to facilitate faster and more regular movement of goods and services. It enables fast access and processing of data securely with different access levels, which is crucial for delivering goods and services remotely. Additionally, Couchbase Cloud is used to overcome the challenges of remote work and ensure fast and secure data analysis and delivery for both internal and client projects.
The software is also extensively used in the gaming industry for storing players' game state data and allowing features and services to leverage it. Furthermore, Couchbase is utilized for mobile data collection in a SaaS platform, eliminating the need for relational tables and schemas. It simplifies the storage of complex insurance rating information and provides high performance and scalability.
Developers rely on Couchbase as a powerful and flexible NoSQL database that allows for quick application development and deployment within the cloud. The product is commonly used for managing databases across multiple departments, particularly in mobile application development. Furthermore, Couchbase Data Platform is utilized in various industries such as the airline industry, where it powers onboard meal ordering systems and personalized service during flights.
In summary, Couchbase addresses a wide range of business problems across industries by providing fast access to information in a secure infrastructure. Its flexibility, scalability, and high performance make it a preferred choice for developing web apps, mobile apps, IoT applications, and managing databases across organizations.
Scalability: Couchbase is highly scalable, allowing users to handle large amounts of data and serve numerous transactions simultaneously. Reviewers have praised the ability to scale the database based on performance requests and the ease of expanding the cluster size.
Performance: Users appreciate Couchbase's strong performance, specifically highlighting its memory caching as a significant advantage over other NoSQL databases they evaluated. This indicates that Couchbase is efficient and fast in processing and retrieving data.
Flexibility: The schema-less architecture of Couchbase provides flexibility for users. They value the ability to support system points backwardly and make changes easily. It demonstrates that Couchbase can adapt to changes in the database structure effectively.
Difficulties in navigating documentation: Some users have expressed frustration with the navigation of Couchbase's documentation site, citing outdated code references and articles. They feel that this makes it more challenging to find the information they need.
Lack of enterprise features: Users have mentioned that Couchbase lacks certain enterprise features, such as centralized administration tools, auditing capabilities, and replication networks. This has led some users to believe that the platform may not be suitable for larger-scale or more complex business needs.
Frustration with management UI: The management console in Couchbase has been described as cumbersome and in need of improved user experience. Users have suggested improvements such as consolidating logs, enhancing error handling capabilities, and allowing servers to change roles without downtime.
Users have recommended Couchbase for several use cases, including caching applications and scenarios involving real-time analysis. They also suggest utilizing Couchbase for document-based NoSQL databases, as it offers good read and write speed. Attendees at Couchbase seminars have praised the informative sessions that help in gaining a basic understanding of the product. Additionally, users recommend watching videos or webinars to further enhance knowledge about Couchbase's features. Customers have reported outstanding support and assistance from Couchbase's customer service team and account representatives. They are commended for their promptness and expertise in resolving any issues or queries. To ensure long-term scalability and smooth cloud migration, it is advised to carefully consider these factors when implementing Couchbase. Users recommend leveraging the ElasticSearch plugin for effective data structuring. While Couchbase is recognized for its performance boost, users note that there is a steep learning curve compared to traditional RDBMS systems. It is suggested to invest time in understanding the purpose and strengths of Couchbase before implementation. Couchbase is regarded as a reliable solution for maintaining secure and safe databases. However, users caution that implementing logic should be handled in code rather than relying solely on Couchbase. To explore the capabilities of Couchbase, users recommend trying the free trial version and engaging with the active community forums where they can seek assistance from experienced developers. Overall, users advise familiarizing oneself with the developer guide as it provides valuable insights into effectively using Couchbase for various applications.
Attribute Ratings
Reviews
(1-25 of 79)Companies can't remove reviews or game the system. Here's why
February 22, 2023
Couchbase: DB All-in-One Solution
- HA
- Scale
- Dashboard
- Easy replication and indexing
- SQL
- FTS
- Stability in some version x.0
- Bug in first versions
December 14, 2022
high availability
Fraud detection and identity authentication
We have used to store user information for fraud detection and authentication.
We have large user base where we are detecting pattern based on device and other user information to detect fraudulent behaviour of the user.
Couchbase was faster solution to store this information and we are able to fetch whenever we need.
We have used to store user information for fraud detection and authentication.
We have large user base where we are detecting pattern based on device and other user information to detect fraudulent behaviour of the user.
Couchbase was faster solution to store this information and we are able to fetch whenever we need.
- Data Management
- Data Availability
- Less latency and fast lookup
- Dashboard
- Sorting of data
October 11, 2022
Couchbase - best NoSql solution in the market
We use Couchbase to store user data. We have millions of anonymous user data that need to be served on the front end in a timely fashion and we were looking for a service that can be robust. We were also looking for a flexible data schema. Couchbase was a perfect solution for both.
- Flexible schema
- Serves data very fast
- Automated purging of old data
- Query takes too long. It can be improved
- Indexing can be faster
We use Couchbase at our company as our main production database. The business problem the product addresses is having to deal with the high throughput of big data at our organization and the scope of our use case is from staging environments via pre environments all the way to production and analytical services.
- Key value cache
- SQL like query
- Replication
- Indexing
- Poor UI
April 15, 2022
Couchbase, powerful nosql
We use Couchbase for two main purposes. First is the NoSQL database to store unstructured data. The n1ql language is very powerful to retrieve these data in every possible way. The second purpose is key/value storage used in caches. We use Couchbase to store serialized java objects representing cached data.
- N1QL requests
- Key/value storage
- Performance
- Indexes need some time to understand
- Documentation could be improved somtimes
April 08, 2022
Couchbase the database of ease
Couchbase is used by teams in our organization to store and manage customer data. Couchbase allows huge scalability and performance which is why it is the database of choice for many teams within our organization. Couchbase is also very easy to configure and deploy to various teams. This allows my team, to just be on stand-by for any upgrades.
- Scalability
- Highly available
- Easy to use
- Cost
- number of buckets
- performance with larger datasets
March 30, 2022
Move forward
CodeFactory company is implementing an Informational system based on microservice architecture. Some services use Couchbase as data storage. These services have a high load stream of data and the system should have no consumption lag of messages from external systems. Our system has a couple of buckets (one per service) and different document types.
- Write speed
- scalability and reliability
- tools to administrate
- Search capabilities are still worse than Elasticsearch
December 15, 2021
Fantastic database management and data analysis product
Couchbase connects us to reliable network sources that can effectively manage our data. It is highly scalable and ensures that all data from our customers is effectively managed for better planning. It provides cloud services that customize all data and saves the most useful data that transform our company.
- Data storage management.
- Monitoring data entering our company from all sources.
- The platform performance has been awesome.
- I am conversant with all the features.
November 12, 2021
A Very Secure and Scalable NoSQL Database
I'm an IT expert at our company and I have been using Couchbase for the creation and deployment of applications on the cloud. What makes Couchbase special or rather ideal is the fact that it offers a secure cloud space for application data. It is a NoSQL database and therefore a performer and a great tool when it comes to website caching.
- It is a very secure database
- It is a high performance data base
- Couchbase is highly scalable
- Makes it easy to develop responsive applications
- Sometimes it can lag more so when network is poor
- Longer learning curve
- Poor documentation
October 28, 2021
Cloud based outstanding database
In our project, we must enter millions of entries, available in JSON format, into a database, which must subsequently be accessed on a regular basis using various filters. To fulfill this requirement we must be needed NoSQL which provides high performance. Hence, after exploring a couple of tools, we finally decided to continue with CouchBase, as it is a combination of CouchDB and Membase.
- Open source
- High scalability and throughput
- JSON based datamodel
- Setup is time consuming.
- UI is not attractive.
October 20, 2021
Couchbase a great NoSQL high performance database.
We use Couchbase in our core enterprise backend distributed system for some complex data storage and data caching. It simplifies the storage of complex insurance rating information and provides high performance and scalability.
- Ability to scale.
- High performance on reads and writes.
- Easy to setup and configure.
- Limitation on a number of data buckets as per best practices.
- N1QL query not very fast.
- Past versions had some major bugs like in xdcr causing cluster failure, which has been fixed in 4.x.
September 28, 2021
Faster and more cost effective than CosmosDB
We use it across our cloud solution in the IOT space. Solves the problem of a fast database at the right cost. Implementation was smooth and we have not only reduced our storage cost, but our system has also improved end-to-end latency. Highly recommend Couchbase to any team looking for cost AND performance improvements.
- Fast
- Reliable
- Cost effective
- Hosted solution needs some work.
August 24, 2021
Couchbase: Blistering performance at scale for enterprises
Couchbase is being used across our entire organization as the primary database for our platform. It addresses the need for sub-millisecond db transactions at hundreds of thousands of high-availability transactions per second[.]
- Couchbase performance is exceptional both for in-memory and persisted transactions.
- Handling of node failures and cluster rebalancing (high availability).
- Enterprise support from Couchbase themselves
- Good documentation
- Streaming of bucket (database) level mutations via their Database Change Protocol (DCP).
- Replication of datasets between native clients and Couchbase buckets
- Handling of simultaneous writes to the same record with performance penalties
- SDK examples are not always clear enough and don't cover enough scenarios.
- Setting up and managing a large, high performance cluster is not easy without significant assistance from Couchbase themselves. There needs to be more tutorials \ documentation for enterprise scenarios.
- Full text search, while not a primary feature, is not sufficiently performant in Couchbase, so Elasticsearch is still needed. Couchbase has a good integration for moving data to Elasticsearch so this is not very painful. It's possible that the performance has improved in the latest version as we have not yet tested it for FTS.
- Poor performance and support for synchronization of web based apps (PWA's etc)
August 24, 2021
A NoSQL product that delivers on performance
Couchbase was used to allow us to dramatically increase system performance across all of our products and services by allowing us quicker access to large volumes of data and providing us with greater stability and reliability thanks to the cluster and replication methodology. Our data sets are often not particularly large pieces of information, but very many pieces. Traditional databases did not perform adequately under these conditions, which is where Couchbase came in.
- Improved system stability
- Improved system reliability and service uptime
- Fast response to queries
- Improved performance of synchronous queries
- Licensing should separate out product and support.
- Early versions were hard to integrate.
- Improvements to maintenance functions to minimize downtime
August 19, 2021
A good tool for the right problem
Couchbase was originally selected to be the OLTP database to be used with "the experience engine" to hold the guest information, messaging, activity records, tags/classifications and related information pertaining to the guest experience. We initially used Couchbase prior to the creation of N1QL, and have used its core data services, views (now deprecated), N1QL, and XDCR and SyncGateway functionality. (Our use of couch-base included multi-instance replication). More recently, we've also worked with its event functionality and transactional support (a relatively new addition to its SDK).
- As a sharded key/value store for json documents, its both performant and scalable.
- The N1QL engine performs poorly compared to SQL engines due to the number of interactions needed, so if your use case involves the need for a lot of SQL-like query activity as opposed to the direct fetch of data in the form of a key/value map you may want to consider a RDBMS that has support for json data types so that you can more easily mix the use of relational and non-relational approaches to data access.
- You have to be careful when using multiple capabilities (e.g. transactions with Sync Gateway) as you will typically run into problems where one technology may not operate correctly in combination with another.
- There are quality problems with some newly released features, so be careful with being an early adopter unless you really need the capability. We somewhat desperately adopted the use of transactions, but went through multiple bughunt cycles with Couchbase working the kinks out.
August 17, 2021
Fastest, flexible, scalable high performing noSql Database.
Couchbase is used to maintain a huge dataset of metadata from multiple software components in our organization. It's unique feature that support seamless cross data centre replication coupled with its resiliency and redundancy features makes it first choice for our business use case. It is one of the few databases used across our organization.
- Cross Data-centre replication (XDCR).
- Improved performance.
- Scalable.
- Redundancy.
- High availability.
- Not many code examples given with SDK documentation, they seem beginner level.
- Error logs are mostly not useful/straightforward, need to spend time and look around to understand the problem.
- Community base is limited, so help from the forums like stack overflow, etc. is not that great, at least for older versions I have seen it.
August 05, 2021
Great product, but there is still room for improvement
Over the years, Couchbase has helped us build challenging projects. Thanks to its characteristics it fits perfectly with our needs to create scalable, stable, and performing software.
- Sync data between server and mobile devices
- Scaling based on performance requests
- Query data with power of relational database
- Query functionalities on Couchbase Mobile
- More intuitive index creation on Couchbase Mobile
- Couchbase Cloud functionalities
Couchbase is used by couple of departments across the whole organization. It replaced some of the applications' RDBMS backend which helped us save a lot of cost without compromising or in some cases with a better performance, security, clustering and replication factors.
- Easy to store unstructured data and has great performance
- Managing security is super easy which can be managed across different levels
- UI is pretty simple to use and manage the cluster
- Backup of the data is very easy and the restoration/recovery is fairly easy as well with the in-built tools.
- Easy integration with Elasticsearch for replication
- It is fairly easy to scale up or scale down the cluster
- Resource utilization can be improved. Sometimes we have noticed that Couchbase acts like a resource monster and draining the resources.
- If a node has to join back to the cluster sometimes database cluster with moderate size takes a longer time for a delta recovery
April 20, 2021
The fastest versatile Cloud NoSQL Database
The Couchbase cloud version is designed to meet all our needs, processing [large quantities] of HR data is very fast. In the HR department, we transferred everything to it and came to a quick result. NoSQL DB and Cloudbase servers have helped us to buy high speed and managed resource usage according to the amount of usage with a super fast response time.
- NoSQL DB response time in a millisecond
- High security under the cloud platform
- Super easy integration
- High read and write performance
- Backup and restore can have better performance and speed
- Working with it requires technical IT knowledge
- Migrate and move from other databases little complicated
April 16, 2021
Powerful Enterprise Class, Multicloud NoSQL DB
Score 8 out of 10
Vetted Review
Verified User
[Couchbase] is used in all parts of our company as well as most parts of factories and organizations that have consulting contracts. In a nutshell, it provides us agility of access to information in a secure and robust infrastructure. Last year, a lot of work was forced to move remotely, and the option of delivering goods by mail was added to some services, so analyzing and delivering information and fast access and processing data securely with different access levels was much more important than before. So we used Couchbase Cloud to overcome this challenge, both for ourselves and our client projects. Now everything is working Agile via Couchbase!
It helps us in all areas, because databases are everywhere, from human resource management to accounting, as well as the receipt and delivery department, all moving goods, services and products faster and more regularly than before.
From 2020 onwards, everything went online, and the use of the Internet and e-culture became ubiquitous, increasing the need for secure and fast databases for agile cloud processing for developers and service providers.
- High performance, fast secure flexible with smart architecture and it’s faster other than competitors in the market.
- We can control all data security, cluster configs, and managing operations costs.
- Proficiency to secure and isolate database information in a secure environment to prevent undefined access.
- Ability to specify IP address ranges, routing tables, network gateways, and subnets according to your private IT department protocols.
- In some scenarios restoration of big data takes time.
- Examples of real-life scenarios should also be included in the educational documents.
- Indexing DB must developed.
April 06, 2021
Pleased with the choice to use Couchbase
We are implementing Couchbase to improve performance for several applications in our datacenters. Couchbase has become one of the core applications for our SaaS offering that we are relying on for more and more of our infrastructure. We are primarily using it as a replacement for MSSQL but we have found that it also works for several other areas of our technology suite.
- Improved Performance
- XDCR between locations
- Ease of expanding the cluster size
- At rest encryption
- The ability to handle large data sets without the need for nodes that have huge amounts of memory.
March 19, 2021
Great NoSQL product - Couchbase
Currently, it is being used by many departments, in various product areas.
There is a mix of deployments being used in multiple clusters:
- enterprise
- community
with various types of topologies: single cluster, multi-cluster (using cross DC replication).
The most important use-cases are:
- Transactional [datastore]
- Distributed cache
- Reporting and analytical storage
- Session storage and other user details.
The addressed business problems are:
- Performance improvements in various applications by using Couchbase as a distributed cache, capable of serving an intensive workload with low and predictable latency.
- Promotional platform: as storage of promotional campaigns, including tracking of customer activity in order to provide real-time feedback regarding customer journey. The main feature is to increase customer engagement by offering targeted promotions.
- Distributed scheduled workload execution: allows execution of a huge volume of transactions (millions) very quickly (minutes), by leveraging the low latency reads/writes & indexes.
- Internal console storage: hold various types of data related to console user journey (ex: session).
There is a mix of deployments being used in multiple clusters:
- enterprise
- community
with various types of topologies: single cluster, multi-cluster (using cross DC replication).
The most important use-cases are:
- Transactional [datastore]
- Distributed cache
- Reporting and analytical storage
- Session storage and other user details.
The addressed business problems are:
- Performance improvements in various applications by using Couchbase as a distributed cache, capable of serving an intensive workload with low and predictable latency.
- Promotional platform: as storage of promotional campaigns, including tracking of customer activity in order to provide real-time feedback regarding customer journey. The main feature is to increase customer engagement by offering targeted promotions.
- Distributed scheduled workload execution: allows execution of a huge volume of transactions (millions) very quickly (minutes), by leveraging the low latency reads/writes & indexes.
- Internal console storage: hold various types of data related to console user journey (ex: session).
- Low latency for read/write operations.
- High throughput can be achieved using reactive support of the client.
- Cross Data Center Replication - useful for multi-cluster topology.
- Great management console, including various metrics useful for monitoring.
- Great support for enterprise licences.
- Community edition has various limitations, like [the] inability to view/edit documents over a certain threshold or inability to use various types of [optimized] indexes.
- The indexes performance degrades when a certain number of mutations is reached.
- The views creation can be quite slow and impacts the deployment speed for large buckets.
March 01, 2021
Great mobile datastore for most challenging environments, robust key-value for the enterprise
Couchbase Enterprise is used for numerous products in the airline for various business lines. In 2016 the first use case came because of distinct features of Couchbase Lite, like mobile devices peer-to-peer sync. This was a technically challenging project, with mobile devices synching with each other on the airplane board during a flight thru the onboard Wi-Fi. It included a lot of specific work with avionics vendors, device manufacturers and Couchbase experts. The outcome was a great passenger experience for onboard meal ordering and personalized service.
- Couchbase Lite is industry leading mobile product.
- Couchbase Server is doing very solid both on-premise and public cloud, with fast response, good reliability and scalability, using it for business critical real-time applications in a leading global airline.
- Expertise and experience of the support and consulting staff is very good.
- Commercial process is smooth and flexible.
- Doing great with key-value and N1QL, evaluating now full text search.
- Using it as a caching in business critical airline applications, plus as a datastore for other set of use cases, also as replacement of relational datastores.
- Cluster sizing during the design phase can be improved, especially if the client lacks prior experience. Vendor consultants are very meticulous in order to provide best of class performance and response time, although some more real-world pragmatic approach is often needed.
- Couchbase Lite 2 went thru a major revamp, which broke the compatibility of the applications with some features removed and other changed. That needed development teams working to refactor the applications.
January 18, 2021
Shortens application release cycle
It is used to reease and update applications fast and easy in the cloud. Couchbase is robust NoSQL platform that has benefited us by shortening the application release cycle from months to weeks now. We are able to onboard new data points without having a lengthy data modelling as it has made it simple to create on-the-fly schema changes for continuous delivery.
- High performance cache compared to to other similar products.
- It is easy to manage as you can implement Couchbase server at any scale
- Robust N1QL query language and flexible JSON schema.
- Issues like clunky SDK or bad app code .
December 17, 2020
Single view of data within the platform
Couchbase help us to simply integrate data sources, datasets, and applications to capture the data on every channel, to deliver an accurate and real-time view of our data. Couchbase is the best at consolidating layers to work together providing reliability and durability. Couchbase helps us to improve client experience and operations. It is used across the organization with greater adoption by all employees.
- It is flexible to integrate multiple data into multiple sources.
- High availability and disaster recovery.
- High in performance compared to other databases.
- It is cumbersome to load backup of the older version to a new one.
- Ease of application and the emerging data.
- The performance of querying process is slow.