NoSQL

we care for data

“While performance is often the determining factor, it is necessary to consider aspects such as functionality, ease of operation, availability of professionals, safety, tools and a community that supports the product” Vicente Ayestarán NoSQL Manager at Paradigma

The rise of the Internet as an application platform has put the domain of relational storage solutions to the test. The volume of data as well as the number of users an application must face, be it web or mobile, is growing at an exponential rate in the past few years. Likewise, these users today demand an immediate response.
To this we must add that the functionalities that we want to offer our customers are increasingly advanced and require more specific technologies to address them correctly. Some examples are: exploring complex relationships between data or performing advanced semantic searches, all accompanied by exceptional performance and optimization of the implementation times of the solution.

No SQL case studies

Given this highly competitive scenario, NoSQL technologies have closed a gap in our data architectures offering the following characteristics:

Exceptional performance

Exceptional
performance

Low operating costs

Low operating
costs

Horizontal scaling

Horizontal
scaling

Advanced functionality

Advanced
functionality

Flexible data model

Flexible
data model

Very broad community

Very broad
community

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Reduced Time-to-Market and costs.

NoSQL allows us to build robust, optimized and scalable products in record time at a lower cost.

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NoSQL is Not Only SQL

Choose a transversal and agnostic provider capable of unifying the best of both worlds

nuestros posts sobre NoSQL

We design strategies around data and its possibilities

In Paradigma we have been implementing numerous NoSQL storage solutions in recent years, making our experience and the benefits of these technologies available to our clients and the projects in which we collaborate.

NoSQL technologies have evolved to respond to different challenges, and although they have many aspects in common, they are also very different from one another.

Type Key/Value

They consist of a key associated with a value. They are usually used to store session information, user profiles, shopping carts and in general as information caches recoverable by a key. Some examples are: Redis, DynamoDB, Riak or Aerospike.

Document based

Thanks to the JSON standard for the document model, we can manage complex information in a flexible way. They are the most versatile option. Within this group we have technologies like MongoDB, Couchbase or Elastic among others.

Graph oriented

This model is based on entities and the connections between them to exploit these relationships in our business. Social networks are the most notable use case, although they are often used in catalogs, recommendation engines, fraud detection … Examples of this technology are Neo4j, OrientDB or Titan.

Column oriented

Similar to relational databases with the exception that a record can have any number of columns. They are ideal for making queries and aggregations on large amounts of data when the columns can be previously determined. In this group we find examples like Cassandra or HBase.

Currently, it is increasingly common to find ourselves in situations in which the user and their information are the core of the business and, therefore, it is in the data where its value resides. This type of technology, sometimes combined in what is known as Polyglot Persistence, allows us to build a Data Centric architecture that offers a unified and uniform data access point, facilitating its exploitation. In this way it will be easier to extract useful information that helps us make business decisions and at the same time build interesting functionalities that enrich the users experience.

Data Centric architectures in the hand of microservices allows us to squeeze as much as posible from the selected NoSQL technologies, offering not only horizontal scalability from data storage to the presentation of information, but also development flexibility and speed of implementation.

At Paradigma we are experts in Data Centric architectures that incorporate the most appropriate storage technologies for each use case, putting all our knowledge, experience and, above all, human capital, at the service of the projects in which we collaborate.

MongoDB Advanced Partner

MongoDB’s hugely popular database with a large developer community due to its simplicity and scalability, combined with Paradigma’s solid reputation as one of the top software services consultancy providers have now combined their strengths to service large corporate customers who are investing in innovative and efficient solutions. Visit our blog for more information. If you are looking for a NoSQL solution like MongoDB for your company, contact us.

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