top button
Flag Notify
    Connect to us
      Site Registration

Site Registration

Small Introduction about Couchbase?

0 votes
309 views

What is Couchbase?

Couchbase Server, originally known as Membase, is an open-source, distributed (shared-nothing architecture) multi-model NoSQL document-oriented database software package that is optimized for interactive applications. These applications may serve many concurrent users by creating, storing, retrieving, aggregating, manipulating and presenting data. In support of these kinds of application needs, Couchbase Server is designed to provide easy-to-scale key-value or JSON document access with low latency and high sustained throughput. It is designed to be clustered from a single machine to very large-scale deployments spanning many machines. A version originally called Couchbase Lite was later marketed as Couchbase Mobile combined with other software.

Couchbase Server provided client protocol compatibility with memcached,but added disk persistence, data replication, live cluster reconfiguration, rebalancing and multitenancy with data partitioning.

Couchbase Server is specialized to provide low-latency data management for large-scale interactive web, mobile, and IoT applications. Common requirements that Couchbase Server was designed to satisfy include:

  • Flexible data model
  • Powerful query language
  • Scalability
  • Performance
  • Simple administration
  • High Availability

Couchbase Server is a comprehensive, general purpose database that supports broad set of web, mobile, and IoT applications.

Video for what is CouchBase

 

posted Sep 25, 2017 by Manish Tiwari

  Promote This Article
Facebook Share Button Twitter Share Button LinkedIn Share Button


Related Articles

What is MERN?

MERN is the abbreviation of MongoDB, Express.js, React.js, and Node.js, almost the same with the MEAN stack except MEAN stack using Angular and MERN stack using React. 

One of the most popular web application stack based on Node.js is MERN stack. 

React can integrate with MERN stack as the front end that can access data from Express and MongoDB by consuming RESTful API. 

A command line utility that enables you to work with your MERN based projects easily by providing powerful code generation and scaffolding abilities.

Steps to Create MERN via CLI

npm install -g mern-cli
mern init myApp
cd myApp
npm install
npm start

The video for MERN App

https://www.youtube.com/watch?v=cV-bGvnRZdw


  

READ MORE

What is HyperDex?

HyperDex is a next generation key-value and document store with a wide array of features. HyperDex's key features -- namely its rich API, strong consistency, fault tolerance, support for MongoDB API, and ease of use -- provide strong guarantees to applications that are not matched by other NoSQL systems.
HyperDex is an open source distributed data store. In the NoSQL data store space, HyperDex distinguishes itself by offering high performance, a rich API, ACID transactions that span multiple objects, and strong consistency and fault-tolerance guarantees. 

Features:
Distributed
Data is distributed across the cluster, without a single point of failure.
Flexible Data Model
HyperDex can act both as a key-value datastore and a document store, supporting unstructured (schema-free), semi-structured, and structured (schema-based) data.
High-Performance
Next-generation replication and query protocols enable HyperDex to process operations with minimal overhead.
Scalability
Read and write throughput both increase linearly as new machines are added, with no downtime or interruption to applications.
Fault-tolerant
Data is automatically replicated across multiple servers to tolerate a user-specified number of concurrent failures. Failed nodes can be replaced with no downtime.
Strong consistency
HyperDex guarantees that every GET returns the result of the latest PUT. There are no complicated consistency models to learn or programming quirks, such as conflict resolution, to master.
Multikey transactions
HyperDex supports ACID transactions that span any number of objects.

Video for HyperDex

https://www.youtube.com/watch?v=gOL-aVMBj3s​

READ MORE

What is RethinkDB ?

RethinkDB is the first open-source, scalable JSON database built from the ground up for the realtime web. It inverts the traditional database architecture by exposing an exciting new access model – instead of polling for changes, the developer can tell RethinkDB to continuously push updated query results to applications in realtime. RethinkDB’s realtime push architecture dramatically reduces the time and effort necessary to build scalable realtime apps.

Features:

  • Open-source database for building realtime web applications
  • NoSQL database that stores schemaless JSON documents
  • Distributed database that is easy to scale
  • High availability database with automatic failover and robust fault tolerance

In addition to being designed from the ground up for realtime apps, RethinkDB offers a flexible query language, intuitive operations and monitoring APIs, and is easy to setup and learn.

The query-response database access model works well on the web because it maps directly to HTTP’s request-response. However, modern applications require sending data directly to the client in realtime. Use cases where companies benefited from RethinkDB’s realtime push architecture include:

  • Collaborative web and mobile apps
  • Streaming analytics apps
  • Multiplayer games
  • Realtime marketplaces
  • Connected devices

Video for RethinkDB

https://www.youtube.com/watch?v=qKPKsBNw604

READ MORE

What is Berkeley DB?

Berkeley DB (BDB) is a software library intended to provide a high-performance embedded database for key/value data. Berkeley DB is written in C with API bindings for C++, C#, Java, Perl, PHP, Python, Ruby, Smalltalk, Tcl, and many other programming languages. BDB stores arbitrary key/data pairs as byte arrays, and supports multiple data items for a single key. Berkeley DB is not a relational database.

BDB can support thousands of simultaneous threads of control or concurrent processes manipulate

Berkeley DB is a family of embedded key-value database libraries providing scalable high-performance data management services to applications. The Berkeley DB products use simple function-call APIs for data access and management

There are 3 implementations of Oracle Berkeley DB:

  • Oracle Berkeley DB - implemented in C
  • Oracle Berkeley JE - implemented in Java
  • Oracle Berkeley XML - implemented in C++

The Berkeley DB library is extremely portable. It runs under almost all UNIX and Linux variants, Windows, and a number of embedded real-time operating systems. It runs on both 32-bit and 64-bit systems. It has been deployed on high-end Internet servers, desktop machines, and on palmtop computers, set-top boxes, in network switches, and elsewhere. Once Berkeley DB is linked into the application, the end user generally does not know that there's a database present at all.

Video for Berkeley DB

https://www.youtube.com/watch?v=eQfr8RqOqj8​

READ MORE

What is C Tree ACE?
c-treeACE is a cross-platform database engine developed by FairCom Corporation. Software developers typically embed the c-treeACE engine within the applications that they create and then deploy the application and engine together as an integrated solution.

The nature of c-treeACE allows it to be used in a range of products including: embedded systems that require limited disk and memory footprint and silent operation; shrink-wrap products developed by ISVs that require cross-platform support, minimal maintenance, and mass deployment; and enterprise systems that depend on performance and more precision control of database operations than a traditional enterprise database offers.

Two versions of the product are available. c-treeACE Express is freely available for development from FairCom's web site and supports only the client/server architecture. The client-side libraries are precompiled, making it easy to use for evaluation. c-treeACE Professional is licensed separately and supports all architectures and includes full source code for the client libraries and much of the source code for the server.

c-treeACE is one of few databases that specialize in making data locked into legacy database architecture available to modern APIs while minimizing time, resources and risks involved in modernization projects.

c-treeACE combines the benefits of NoSQL such as high performance, low latency and precise data access control, with the flexbility of SQL interfaces.

 c-treeACE engine is a prime embodiment of a NoSQL, full ACID-compliant key-value database. If you are looking for NoSQL, you need look no farther than the c-treeACE database technology which many trust every day. Keeping with these times, you may notice NoSQL terminology appearing in our communications. Our veteran c-tree developers know we are referring to our powerful ISAM engine in use by customers every day for over 30 years.

Video for C Tree

https://www.youtube.com/watch?v=UX6t3-VZ_1k​

READ MORE

What is InfiniteGraph?
InfiniteGraph is an enterprise distributed graph database implemented in Java, and is from a class of NOSQL (or Not Only SQL) database technologies that focus on graph data structures. Developers use Infinitegraph to find useful and often hidden relationships in highly connected big data sets.

Benefits:

  • Distributed
  • Intuitive
  • Cost Effective
  • Powerful Navigation​

Features:

  • API/Protocols: Java (core C++)
  • Graph Model: Labeled directed multigraph. An edge is a first-class entity with an identity independent of the vertices it connects.
  • Backup, including online incremental backup and full restore.
  • Concurrency: Update locking on subgraphs, concurrent non-blocking ingest.
  • Consistency: Flexible (from ACID to relaxed).
  • Distribution: Lock server and 64-bit object IDs support dynamic addressing space (with each federation capable of managing up to 65,535 individual databases and 10^24 bytes (one quadrillion gigabytes, or a yottabyte) of physical addressing space).
  • Processing: Multi-threaded.
  • Cloud enabled.
  • Query Methods: Traverser and graph navigation API, predicate language qualification, path pattern matching.
  • Parallel query support.
  • Visualization tool.
  • Schema: Supports schema-full plus provides a mechanism for attaching side data.
  • Transactions: Fully ACID.
  • Tinkerpop Blueprints and Gremlin support.
  • Talend output connector to InfiniteGraph.
  • Source: Proprietary, with open source extensions, integrated components, and third party connectors.
  • License Options: Flexible pricing and license options.
  • Platforms: Windows, Linux, and Mac with full interoperability.
Video for InfiteGraph

https://www.youtube.com/watch?v=BjaY62aVP08

READ MORE

What is Firebase?

The Firebase Realtime Database is a cloud-hosted database. Data is stored as JSON and synchronized in realtime to every connected client. When you build cross-platform apps with our iOS, Android, and JavaScript SDKs, all of your clients share one Realtime Database instance and automatically receive updates with the newest data.

The Firebase Realtime Database lets you build rich, collaborative applications by allowing secure access to the database directly from client-side code. Data is persisted locally, and even while offline, realtime events continue to fire, giving the end user a responsive experience. When the device regains connection, the Realtime Database synchronizes the local data changes with the remote updates that occurred while the client was offline, merging any conflicts automatically.

The Realtime Database provides a flexible, expression-based rules language, called Firebase Realtime Database Security Rules, to define how your data should be structured and when data can be read from or written to. When integrated with Firebase Authentication, developers can define who has access to what data, and how they can access it.

The Realtime Database is a NoSQL database and as such has different optimizations and functionality compared to a relational database. 

Firebase realtime database is a schemaless database in which the data is stored in JSON format. Basically the entire database is a big JSON tree with multiple nodes. So when you plan your database, you need to prepare the json structure in way that the data is accessible in easier way by avoiding nesting of child nodes.

Firebase provides great support when comes to offline data. It automatically stores the data offline when there is no internet connection. When the device connects to internet, all the data will be pushed to realtime database.

Video for what is Firebase?

https://www.youtube.com/watch?v=U5aeM5dvUpA

READ MORE
...