A single database server for a small set of applications and data has historically worked well. However, when exposed to a large, public user base, the only way to increase the capacity of these servers is to upgrade them to a more expensive server.
To improve capacity, move the database software to another single machine with more memory, more disk space, and more processors. This is "vertical scaling". The drawback to this approach is that it may require downtime. There's also a ceiling on the performance that can be obtained from a single machine. (See Herb Sutter's The Free Lunch is Over).
Build a Real-Time Data Visualization Dashboard With Couchbase Analytics and Tableau
Introduction
Couchbase Server is a hybrid NoSQL database that supports operational and analytical workloads. Couchbase Analytics in Couchbase Server 6.0 brings "NoETL for NoSQL," enabling users to run ad-hoc analytical queries on JSON data in their natural form — without the need for transformation or schema design — by leveraging a massively parallel processing (MPP) query engine.
Every enterprise has already invested in a visualization tool and therefore has a critical need to leverage existing investments. This includes not only tooling but also skillsets and training of business reporting and dash-boarding teams.
8 Ways to Customize Couchbase Full Text Search Indexes
Couchbase Search service supports the creation of special purpose indexes for Full Text Search to provide extensive capabilities for natural language querying on JSON documents. Couchbase Full Text Search indexes support an extensive range of query types, like:
- Match, Match Phrase, Doc ID, and Prefix queries
- Conjunction, Disjunction, and Boolean field queries
- Numeric Range and Date Range queries
- Geospatial queries
- Query String queries, which employ a special syntax to express the details of each query
To perform a full text search, a Full Text Search Index has to be created first upon a bucket on which the search has to be targeted. The search could be performed on the textual and other contents of documents within a specified bucket.