NoSQL Database Solutions – 5 Types

First of all, we express our gratitude to our partner – Squadex – Consulting CompanyNoSQL solutions is surely a perfect alternative for RDBMSs. Various database models of NoSQL can be used as a brilliant tool which will serve your purpose in a far better way than RDBMS for the design philosophies and architectures. It has five different types.

  1. Key Value Stores:

In case of such type of database data is stored as the hash table having a pointer and a unique key for the particular item regarding data. It is kind of same as the traditional tables of hash which allow retrieval and storage of data by the help of keys. It is a very simple data model and it is scaled incrementally. However, if the quarries are regarding the value then this model may not be suitable. It will also not be perfect for storing the details of relationship between data.

  1. In memory Key Value Stores:

In memory Key value stores will surely deserve a different category as it is designed for minimizing latency for compromising the capacity through holding data inside the memory. In case of large but slow database this type of database solution is effectively used. It will not be considered as a replacement of RDBMS. It will eventually work along with the RDBMS solution. By the utilization of the multiple nodes this key value store will scale for the higher capacities.

  1. Document stores:

With this kind of database store you will be able to manage and retrieve data like documents. You can take the document same as the rows in case of traditional RDBMS. Documents are free from schema. It means that different document will have various types of schema and structures which will differ from one another. Each document will have a specific id and because of this it will refer and embed to another document. In case of advanced structures also document store will be supportive.

If you take an example CouchDB takes documents in the format of JSON. It will allow support for arrays and fields like it does in case of C++ or C.

  1. Graph Databases:

In case of such database the data is going to be stored as graph structure. You will find the utilization of properties, edges and nodes which will store and represent data. If you want to do graph or analytics data, this kind of database is surely going to help you a lot. As now a day the marketing related to social media is becoming popular more and more the significance of Graph database is becoming more and more important as well.

  1. Column stores:

You can compare this database solution with the key value pairs. You will use the keys and those will differ which will point to various columns. Every column will get identified by a different timestamp, value and name. Well, there is a difference between key value pairs and column stores. In case of column stores it is optimized for handling data along with the columns. It will surely provide better chance of analytics. In some cases, column stores can also be considered as the solution between key value stores and traditional RDBMSs.

So, with these five types of database solution of NoSQL it will be easy for you to handling different kinds of data in a very easy and effective way. You will surely be able to analyze data in more accurate way if you use the right type of database for the analysis.

0 Comments on “NoSQL Database Solutions – 5 Types”

  1. Kabrinskiy Eduard – Azure continuous integration – Кабринский Эдуард

    Azure continuous integration

    Azure continuous integration Today’s national news headlines Azure continuous integration
    Continuous integration and deployment to Azure Container Service

    Posted on November 17, 2016
    Today’s businesses need to innovate at a rapid pace to be competitive in the marketplace. A ride sharing company may have to update its app several times a day to respond to daily demand fluctuations and adjust its pricing. A location-based social gaming app has to constantly engage users with new features to increase daily active users and stay at the top of app store rankings. Delivering high-quality, modern applications requires DevOps tools and processes that are critical to enable this constant cycle of innovation. With the right DevOps tools, developers can streamline continuous deployment and get innovative applications into user’s hands faster. Again and again.
    While continuous integration and deployment practices are well established, the introduction of containers brings new considerations, particularly when working with multi container applications. On Nov. 7, we announced a series of updates to Azure Container Service (ACS) that continue to demonstrate ACS is the most streamlined, open and flexible way to run your container applications in the cloud — providing even more customer choice in their cloud orchestrator.
    Today, the preview of continuous integration and deployment of multicontainer Linux applications is now available using Visual Studio, Visual Studio Team Services, and the open source Visual Studio Code. To continue enabling deployment agility, these tools provide excellent dev-to-test-to-prod deployment experiences for container workloads using a choice of development and CI/CD solutions.
    Key uses
    Create a continuous pipeline to Azure Container Service with Visual Studio Team Services
    You can write your app using the language of your choice (Java, C#, PHP, etc) and your favorite IDE (Eclipse, Visual Studio, IntelliJ, etc), with standard Docker assets. Then, using the Azure Command Line Interface (CLI), you can run a simple command to connect your source repository to a target Azure Container Service (ACS) cluster and set up a containerized build and deployment pipeline for a multi-container Docker application. So now anytime source code is pushed to a repository in GitHub, it can automatically trigger VSTS to build and tag container images, run unit tests, push to the Azure Container Registry, and deploy to ACS with zero-downtime. For Preview, we support creating pipelines that deploy to DC/OS only.

    In addition to the Azure CLI, similar experiences for setting up CI/CD are also available directly in the Azure Portal (in the ACS blade) and the Visual Studio IDE.
    Use the Azure Container Registry to store images
    Azure Container Registry is a private registry for hosting container images. Using the Azure Container Registry, customers can store Docker-formatted images for all types of container deployments. Azure Container Registry integrates well with orchestrators hosted in Azure Container Service, including Docker Swarm, DC/OS and Kubernetes. The continuous integration and deployment tools will push the container images to the Azure Container Registry after a build. Later, it will pull images from the container registry and deploy them into the ACS cluster.
    Easily promote images across environments
    The continuous integration and deployment tools support the immutable services principle. Which means, you can easily promote images from development to downstream release environments such as Test and Production and importantly, you don’t have to rebuild the container image each time you promote the image.

    These innovations demonstrate our continued investment in the container ecosystem and highlight our unique strategy of offering the only public cloud container orchestration service that offers a choice of open source orchestration technologies — DC/OS, Docker Swarm and Kubernetes. The support for continuous integration and deployment tools amplifies our strategy to make it easier for organizations to adopt containers in the cloud.
    Customers will be able to access the preview of continuous integration and deployment tools starting Nov. 16 — watch for more details at Microsoft Connect();!
    Learn more
    Check out this tutorial for setting up continuous integration and deployment of a multi-container app to Azure Container Service.
    Azure continuous integration

    Azure continuous integration

    Azure continuous integration News sites Azure continuous integration
    Azure continuous integration
    Today’s businesses need to innovate at a rapid pace to be competitive in the marketplace. A ride sharing company may have to update its app several times a day to respond to daily demand fluctuations…
    Azure continuous integration
    Azure continuous integration Azure continuous integration Azure continuous integration
    SOURCE: Azure continuous integration Azure continuous integration Azure continuous integration
    #tags# -,-Azure continuous integration] Azure continuous integration#tags#

    Eduard Kabrinskiy
    online news

Leave a Reply

Your email address will not be published. Required fields are marked *