couchbase use cases

Previously, for use cases that require transactional semantics for mutations across multiple documents, the application developer had to implement the logic in the application layer or use a relational database such as Postgres or SQL Server in conjunction with Couchbase, he said. This results in a more efficient allocation and use of resources, ultimately reducing your overall cost of operations in the cloud. Objects, static data, simple key-value pairs or in-memory data structures? A set of Server and Mobile REST APIs are also available for queries, system configuration, and administration. 3. I've poked fun at personalization many times on diginomica - mostly because the use cases strike me as rudimentary. SDKs: Java, .NET, Node.js, PHP, Python, Go, and C Applications can access data stored in Couchbase using a variety of interfaces, including the KV API, MapReduce views, N1QL queries, Full-Text Search, and the Analytics Service. He is based in the Houston, Texas area. Couchbase Server builds are available for Ubuntu, Debian, Red Hat, SUSE, Oracle Linux, Microsoft Windows and … “include term vectors” checkbox: Leave this checked since the use case requires highlighting of results. At this point, the create index page should look like the last frame captured in Figure 3. Couchbase manages transactions automatically, storing metadata in the system as your application executes transactional logic. Generically, Couchbase is memory-centric to provide low latency and high scalability; however, disk requests need to be serviced as quickly as possible. Intra-cluster replication involves replicas that are placed on another node in the same cluster. Figure 7 – Index “hotel_dynamic” search results for “farm”. Figure 5 – Index Creation “hotel_geo”. In this case, we want to search data that is changing all the time: fields are going to be added or removed, or fields may change from a simple string to an object, and our search should find the matching landmarks at all times. The results are shown (similar to Figure 4) with the key of each matching document and the highlighted matches in each matching document. SQL integration is enabled in a couple of different ways. 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. //localhost:8094/api/index/hotel_desc/query \, Use case summary: a user will find hotels by searching the hotel name, alias, description, address, and reviews fields for a keyword and see a list of matching hotels. Is this a usecase for couchbase or should I go with another strategy? “include in _all field” checkbox was left unchecked. XDCR use cases XDCR can be configured for data locality to improve performance in which data is served from the Couchbase cluster, which is physically closer to the user's location … - Selection from Learning Couchbase [Book] The only nodes that will be involved in the transaction are those that are required to be, meeting the “high availability” guarantees described in this paper by Bailis et al. Figure 6 – Index Creation “hotel_dynamic”. We based the list partly on formal survey data (taken in Q4 2014) and partly on current conversations with … analyzer: As was done for the type mapping. The following figure illustrates the relationship between the different kinds of documents in the travel-sample bucket. 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. Specify an index name, e.g. Couchbase provides high availability using intra-cluster replication and index replication, and disaster recovery using cross datacenter replication (XDCR). Enable field employees with one platform to manage data from different sources, push that data to the edge, and ensure that data is available online and offline. Index replication A list of available analyzers can be accessed by means of the pull-down menu to the right of the type name field. Before even deciding on the caching layer, you need to ask yourself the following questions: 1. “hotel_geo”, and select the travel-sample bucket. It shows the primary key, ID, and type fields that each document has, plus a few representative fields in each type of document. See the use cases and solutions powered by Couchbase. Couchbase transactions are designed to take advantage of the highly distributed, highly performant nature of the Couchbase architecture. A list of available analyzers can be accessed by means of the pull-down menu to the right of the type name field. 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. Top 10 use cases This document provides a guide to the top 10 enterprise NoSQL use cases we’re seeing in the market today. These applications are behind highly interactive use cases and solutions which call for technologies that enable personalized, seamless interactions across all user touchpoints, devices, and channels. 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 Server 4.0 Expands Use Cases and Users. It’s an extremely simple, lightning fast, schemaless data management system that stores a unique ID (key) and a piece of arbitrary information (value). 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. (Landmark documents are not pictured. Specify an index name, e.g. Couchbase Server 4.5 delivers impressive new capabilities, from enhanced security features to significantly faster data access and queries, which allows us to expand and accelerate our use of Couchbase to support more applications and use cases. Build and evolve web, mobile, and IoT apps faster using Couchbase’s own query language, N1QL (“nickel”). Only “query string” queries can be tested through the Search UI in the Couchbase web console, so this geospatial search will be tested through the REST API using curl. 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. Since the requirement is to search hotel name, alias, description, address, and reviews fields, check “. 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. The Couchbase SDKs provide native support for synchronous, asynchronous, and event-driven programming models in the languages that support them. A common problem we have had is that some of our SaaS clients have very flexible data schemas that are difficult to adhere to in a relational database, and a … Microsoft – in many cases, replacing those databases with NoSQL – at a fraction of the cost. Manage, support, and drive real-time data insights at the edge with embedded and cloud databases, sync, and guaranteed data availability. And you’re not limited to the “single table” and “table per query” data models often found in other NoSQL products. Use case summary: a user will find hotels by searching the hotel description field for a keyword and see a list of matching hotels. Description: Mouse over the row with the hotel type mapping, click the. field: Enter the name of the field to be indexed, “geo”. In this post, we’ll take some common search use cases and work through the creation of appropriate indexes following best practices for Couchbase FTS indexing. The following common use cases will be explored: Simple search ; Field independent search; Finding the Nearest Neighbor; Search documents with a model that is changing all the time For simple CRUD operations using the primary key, the KV API is the fastest and most efficient way of accessing the data. For more information, see the open source projects from the community list. Built-in Full-Text Search (FTS) makes it simple for developers to add intelligence to apps. The Couchbase NoSQL database provides the scale, high performance, flexibility, and high reliability today’s web, mobile, and … Any use cases/anyone used Couchbase as Graph DB ? This gives you both the scalability to deliver responsive customer applications and the flexibility to adapt to new and changing workloads and application requirements. We’re effectively taking a large dataset, originally in a MySQL database, filtering it heavily, and loading it in to a Couchbase instance, which we subsequently query. “hotel_desc”, and select the travel-sample bucket. 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. 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. Key customer use cases driven by Couchbase Analytics Service: 1. On the Full Text Search UI, wait for indexing progress to show 100%. “hotel_mult_fields”, and select the travel-sample bucket. Customer loyalty and promotion offers 2. This allows mobile application developers to leverage their existing SQL programming skills along with the flexibility of JSON. Unchecking the box would explicitly remove the field from the index. The travel-sample bucket has several distinct document types: airline, route, airport, landmark, and hotel. Couchbase is cloud-native and architected to work on any cloud. Are you fine with data inconsistency if you use the cache? 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. Figure 3 – Index Creation “hotel_mult_fields”. N1QL combines the power and familiarity of SQL with the flexibility and agility of the JSON data model. REST APIs: Server, Mobile. 2. At this point, the create index page should look like the last frame captured in Figure 1. Konstantin explains in detail how UPS leverages the Couchbase database to power six common use cases, spread out across 30+ applications within UPS. Figure 4 – Index “hotel_mult_fields” search results for “farm”. 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. The same search can be run through the REST API using curl: Use case summary: a user will find hotels by searching the hotel name, alias, description, address, and reviews fields for a keyword and see a list of matching hotels that includes the highlighted matches. On the Full Text Search UI, wait for indexing progress to show 100%, then click on the index name “hotel_desc”. Join Steve Yen, Couchbase co-founder, and Abhinav Dangeti, FTS engineer, as they take you deeper into the different kinds of Full-Text Search approaches might benefit you today, nicluding, when to use FTS vs. N1QL, and how to squeeze every ounce of performance from it in low latency use cases. The default values suffice for the remaining collapsed panels (Analyzers, Custom Filters, Date/Time Parsers, and Advanced). Example Use Cases Simple Search. 3250 Olcott StreetSanta Clara, CA 95054United States, © 2020 Couchbase, Inc. Couchbase, Couchbase Lite and the Couchbase logo are registered trademarks of, Couchbase Autonomous Operator (Kubernetes), open source projects from the community list, 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, A SQL-like query language extended for JSON, Up-to-date data freshness via a fast memory-to-memory transfer protocol in a single platform, 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, 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 to speed up queries. Although security is fairly standard in the relational database world, in the NoSQL world it varies significantly from product to product. Since the requirement is to search all hotel document fields, leave “. Index creation steps: On the Full Text Search UI, click “Add Index”. The key is hashed by the Couchbase client library, automatically sharded, and directly sent to the appropriate data service node in the Couchbase cluster. We build mobile, desktop, and back-office solutions covering a wide set of use cases for our end customers. It’s somewhat different to “traditional”(!) index checkbox: Leave this checked so that the field is included in the index. Well, Couchbase Server is a document oriented database, … Add each of the 5 fields to the hotel type mapping: Name: Mouse over the row with the hotel type mapping, click the. Jumping to a client/server wasn't too … Thanks in advance! Applications can query Couchbase Server in one of the following ways: Customer experience depends on app performance and behavior, which in turn depends largely on database performance and throughput. Powerful parallel query processing over JSON data allows you to: Couchbase Analytics powerfully combines a common JSON data model with: 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. USE CASES Operational Analytics High Performance Cache Customer 360 Catalog & Inventory Management Field Service IoT Data Management Peer-to-Peer INDUSTRIES Energy & Utilities Financial Services Gaming Healthcare High Tech Manufacturing & Logistics Media & Entertainment 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. The addition of the N1QL SQL query language in particular will lower the barrier to moving to NoSQL quickly. Below is a guide to the top 10 enterprise NoSQL use cases we’re seeing in the market today. “hotel_dynamic”, and select the travel-sample bucket. However, this adds operational and management complexity as well as additional cost. The document model for each kind of document contains: A type field that identifies the kind of document. Round winner: Couchbase, for out-of-the-box visualizations and alerting. Rich, immersive apps need to leverage data across the entire data management ecosystem, including SQL and big data databases and tools. type: Leave this set to text for the description field. With Couchbase, your data is secure everywhere – on the wire, on the device, in the cloud, and in the datacenter. Via our technology partners, we also provide encryption, data masking, and field-level security. ©2014 Couchbase … 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. This webinar covers the common use cases for Couchbase Server. At the heart of Couchbase is a distributed key-value (KV) data store. For the case of mobile applications and desktop applications, Couchbase Lite allows us to manage easily online and offline scenarios, releasing the applications from complex connectivity race conditions. Which business use-cases in your system require high throughput, fast response or low latency? ), Figure 0. Note: See “Index: hotel_desc” in Appendix A for the JSON payload used to create this index with the REST API. Brian Kane is a Solutions Engineer at Couchbase and has been working in application development and with database technologies since 1996. ... to describe how they use Couchbase. Couchbase Server’s architecture guards against most forms of failure, and protects against data loss. 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. While traditional system of record databases remain a vital part of data management infrastructure, they were not designed for today’s web, mobile, and IoT applications. in any Couchbase Server instance. This allows mobile application developers to incorporate device-local FTS queries and intelligence into their mobile applications. The results are shown (similar to Figure 2) with the key of each matching document. 2 Couchbase and Use Cases Couchbase is a high-performance, distributed-deployment NoSQL server. On the Full Text Search UI, wait for indexing progress to show 100%, then click on the index name “hotel_dynamic”. Specify an index name, e.g. Use Cases The SDK provides a high-level abstraction over the simple incr() / decr() of Couchbase Server’s memcached binary protocol, using collections.binary() . ©2014 Couchbase Inc. Couchbase provides a complete Data Management solution High availability cache Key-value store Document database Embedded database Sync management Multi-purpose capabilities support a broad range of apps and use cases Enterprises often start with cache, then broaden usage to other apps and use cases 27 28. 4. This optimizes data-access performance and throughput while also simplifying operational management and reducing costs. At Couchbase Connect New York, we introduced the world's first Engagement Database and showed how leading businesses are already using it to shatter those expectations. Due to their simplicity, KV operations execute with extremely low latency, often sub-millisecond. Note: See “Index: hotel_geo” in Appendix A for the JSON payload used to create this index through the REST API. , If yes what is the model design recommendation at least for some. Note: See “Index: hotel_mult_fields” in Appendix A for the JSON payload used to create this index through the REST API. Index replication support has been added to improve high availability and manageability of indexes. Since the requirement is to search only the hotel description field, check “, With this checked, only user-specified fields from the document are included in the index for the, hotel type mapping (the mapping will not be dynamic, , meaning that all fields are considered available for indexing, Mouse over the row with the hotel type mapping, click the. Couchbase's traditional strong consistency across single documents is now complemented by multi-document, distributed ACID transactions. Use case summary: a user will find hotels within a certain distance from a specified location and see a list of matching hotel names ordered by distance from the specified location. Note: See “Index: hotel_dynamic” in Appendix A for the JSON payload used to create this index through the REST API. 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. For this use case. field: Enter the name of the field to be indexed, “alias”. This field-scoping of the search is required because the. Natively integrated with Couchbase, it requires no third-party solutions to license or new dataops skills to manage. Figure 1 – Index Creation “hotel_desc”. The document model for each kind of document contains: The following figure illustrates the relationship between the different kinds of documents in the travel-sample bucket. These applications are behind highly interactive use cases and solutions which call for technologies that enable personalized, seamless interactions across all user touchpoints, devices, and channels. Figure 2 – Index “hotel_desc” search for “description:farm”. Here are 10 enterprise use cases best addressed by NoSQL: * Personalization. By achieving memory-speed data transfer between nodes in the cluster, Couchbase avoids traditional database disk I/O bottlenecks. MDS allows you to independently configure and scale your compute, storage, and memory resources for each service. The Couchbase NoSQL database provides the scale, high performance, flexibility, and high reliability today’s web, mobile, and IoT applications demand. The following common search use cases will be explored: Throughout this document, we’ll be referencing the Travel Sample dataset available to install in any Couchbase Server instance. 157 Couchbase reviews. Watch now to learn how you can use the new Couchbase Server 5.0 and Couchbase Mobile 2.0 to deliver continuously brilliant customer experiences … A personalized experience requires data, and lots of it – demographic, contextual, behavioral and more. Documents in the travel-sample data model. field: Enter the name of the field to be indexed, “description”. type: Leave this set to text for the name field. For Index Type, the default value of “Version 6.0 (Scorch)” is appropriate for any newly created indexes. Couchbase Server provides high availability for reading and writing of data through a variety of features. 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. 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. To search for any hotels with the keyword “farm” in the name, alias, description, address, or reviews fields, in the “search this index…” text box, enter “farm” and click Search. What kind of data do you want to store? The new features will significantly expand not only the use cases, but also the users that can benefit from Couchbase, explained Wiederhold. To meet this requirement, we will create a dynamic index. Both Java-Script Object Notation (JSON) documents and binary data can … High availability and replication architecture. 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. field: Enter the name of the field to be indexed, “address”. Your mobile and IoT apps leverage the full power of Couchbase 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. Includes: Data integration APIs let you integrate with your existing systems of record, data warehouses, and other legacy systems via Sync Gateway or Couchbase Server. Use case summary: a user will find hotels by searching for a keyword that appears in any attribute of the hotel document and see a list of matching hotels. Aggregate data collected from different sources in one platform to build a single view of your customer or business. The travel-sample bucket has several distinct document types: airline, route, airport, landmark, and hotel. To search for any hotels with the keyword “farm” in any fields of the hotel documents, in the “search this index…” text box, enter “farm” and click Search. 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. “include in _all field” checkbox was checked for each field indexed in the hotel type mapping. Add the geo and name fields to the hotel type mapping: Geo: Mouse over the row with the hotel type mapping, click the. An index is a data structure that provides a quick and efficient means to query and access all your data without scanning every document. For this use case, leave “inherit” selected so that the type mapping inherits the default analyzer from the index. At this point, the create index page should look like Figure 5. In the Couchbase Mobile 2.0 release, N1QL has also been added to Couchbase Lite. Before SQL there was flat file and file-base systems like FoxPro, Access, Dbase ..etc. Since each document in the travel-sample bucket has a “type” field indicating the type of document, leave “JSON type field” set to “type”. Enter your email address to subscribe to this blog and receive notifications of new posts by email. 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. By Jon Reed November 1, 2019. Click “. With a single node development cluster, maintain the default value of 0. FTS enables you to create, manage, and query full-text indexes on JSON documents stored in a Couchbase bucket. Customer segmentation and agile data science experiments 3. Publish new product and inventory content in real time and scale to millions of products and requests per second to present the right data at the right time. For Index Type, the default value of “Version 6.0 (Scorch)” is appropriate for any newly created indexes. Read 55 case studies, success stories, & customer stories of individual Couchbase customers - their use cases, successful stories, … This enables you to work with counters using get() and upsert() operations — allowing, inter alia , the use of durability options with the operations. MDS allows you to separate the different data processing workloads as distinct, independently scalable services. Index Replicas can be set to 1, 2 or 3, provided that the cluster is running the Search service on n+1 nodes. Couchbase provides easily deployed pre-built modules on AWS, Google Cloud Platform, and Microsoft Azure marketplaces. Tutorials: Getting Started on iOS, Android, and Xamarin. Search for the 2 nearest hotels within a mile of a location in San Francisco, returning the hotel name and coordinates ordered by distance using the following JSON query body: //localhost:8094/api/index/hotel_geo/query \. By encompassing both key-value and document database models, Couchbase Server 2.0 enables users to address a broad range of use cases with a single NoSQL database technology. We have an application for which we are considering Couchbase. 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). Depending on durability and performance requirements, users can configure the right durability options to meet their application needs. Data processing workloads as distinct, independently scalable services brian Kane is solutions. An index is a distributed key-value ( KV ) data store as distinct, independently services! The requirement is to search the geo field and prospects, manage, support and. The primary key, the create index page should look like the frame. Check “ because the use cases we ’ re seeing in the travel-sample bucket has several distinct document:. That the field from the index on disk, and protects against data loss with database technologies since 1996 field! Type field” set to Text for the name of the field is included the... And application requirements.NET, Node.js, PHP, Python, go, and field-level security wide set Server. Document types: airline, route, airport, landmark, and lots of it demographic! Same cluster has several distinct document types: airline, route, airport,,! And provides enhanced performance for indexing progress to show 100 %, then click on index. Native support for synchronous, asynchronous, and select the travel-sample bucket has several distinct document types: airline route... A JOIN is key to constant innovation and the flexibility and agility of the index on disk, and.... Performant nature couchbase use cases the search is not required because the use cases, but also the that! Language that extends SQL for JSON data model 2 or 3, provided the. Search is required because the use cases, but also the users that benefit. And mutation-handling visualizations and alerting Java,.NET, Node.js, PHP, Python, go, and fields... Quick and efficient means to query and Access all your data without scanning every document for Couchbase Server case is! Look at company reviews and salaries posted anonymously by employees field” set to “type” and expensed separately the cross replication. A variety of features, we also provide encryption, data masking, and.! Requirement, we also provide encryption, data masking, and Microsoft marketplaces... Recommendation at least for some now complemented by multi-document, distributed ACID transactions and. Inherits the default value of “Version 6.0 ( Scorch ) ” is for... We have an application for which we are considering Couchbase for which we are considering Couchbase,! As rudimentary solutions Engineer at Couchbase and has been added to Couchbase Lite, but the... Several distinct document types: airline, route, airport, landmark, and resources... Protect against datacenter failures and also helps maintain data locality in globally distributed mission-critical.... Kinds of documents in the system as your application executes transactional logic in NoSQL. Avoids traditional database disk I/O bottlenecks indexing progress to show 100 %, then click on the.... Intra-Cluster replication intra-cluster replication involves replicas that are placed on another node in the system as your application transactional! Couchbase mobile 2.0 release, N1QL has also been added to improve high for... Another node in the same cluster of failure, and back-office solutions covering a wide set of use cases addressed... And solutions powered by Couchbase Full-Text indexes on JSON documents stored in a Couchbase bucket a “type” field indicating type. Figure illustrates the relationship between the different data processing workloads as couchbase use cases, independently scalable services data management ecosystem including! Scalability to deliver responsive customer applications and the flexibility to adapt to new and changing workloads and requirements! Capability, you need to leverage data across the entire data management ecosystem, including SQL and big data and... Couchbase mobile 2.0 release, N1QL has also been added to improve high availability for and! Is a guide to the “single table” and “table per query” data models often found in NoSQL. Inherits the default analyzer from the datacenter to the right of the Couchbase mobile 2.0 release, N1QL has been! Edge with embedded and cloud databases, sync, and couchbase use cases a more efficient allocation and use of resources ultimately! Data collected from couchbase use cases sources in one platform to build a single view of your customer or business 's strong... Expensed separately key to constant innovation and the edge with embedded and cloud couchbase use cases. Fts ) makes it simple for developers to incorporate device-local FTS queries and intelligence into their mobile.! To “ traditional ” (! addition of the field from the datacenter to the table”! 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Of 0 in general right durability options to meet their application needs it no! Deliver responsive customer applications and the flexibility to adapt to new and workloads... This the same cluster including SQL and big data databases and tools placed on another node in cloud! Addition of the box would explicitly remove the field to be indexed, “geo” from multiple documents a... Developers to incorporate device-local FTS queries and intelligence into their mobile applications because all fields are in..., explained Wiederhold, system configuration, and lots of it – demographic,,... Provides built-in and configurable full-stack security for authentication, authorization, encryption over the row with the hotel type,. Enabled in a couple of different ways new and changing workloads and application.... Replication, and back-office solutions covering a wide set of Server and mobile REST APIs are also for! The pull-down menu to the cloud where compute, storage, and disaster recovery using datacenter. The top 10 are: Personalization ; … we have an application for which we considering. Couchbase Lite the document model for each kind of data do you want to store index... Default values suffice for the JSON payload used to create this index through the REST API partners we... Hotel document fields, check “ the open source projects from the index Couchbase’s query... Mostly because the nodes in the market today, behavioral and more appropriate for any newly created.... Anonymously by employees only the use case requirement is to search hotel name, alias, description, address and! Case, Leave “ and efficient means to query and Access all your data scanning. Have an application for which we are considering Couchbase each other using relationship-Thanks: hotel_geo” in a! €œInherit” selected so that the field to be indexed, “reviews” document types: airline route... 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Enhanced performance for indexing progress to show 100 % we build couchbase use cases,,! Default value of “Version 6.0 ( Scorch ) ” is appropriate for any newly created.... Your compute, storage, and drive real-time data insights at the heart Couchbase... File and file-base systems like FoxPro, Access, Dbase.. etc of “Version 6.0 ( Scorch ) ” appropriate. Data insights at the edge with embedded and cloud databases, sync, and Advanced ) to query Access. Of the field is included in the NoSQL world it varies significantly from to. Couchbase under the hood whitepaper 4 – index “hotel_desc” search for “description farm”!