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Startups have become the future of the global economy. Across the world, new small business is mushrooming and booming in the tech domain. These new businesses are harnessing the power of data to run their operations. From creating new products to marketing them, gathering feedback and reaching the right audience; they are using their data-power for every operation.
Currently, there are only a handful of old-school businesses that do not rely on data to power their operations. They require data about their consumers, history of sales and marketing, new product feedback, current sales and much more to make business decisions. The collection, organization, maintenance, and manipulation of the company’s data is critical in multiple spheres. From attracting new investors to convincing new customers to buy new products; the presence of structured data can help entrepreneurs accomplish a lot.
Why do startups have trouble finding the right database?
The biggest challenge almost every startup face is the rapid expansion of data as the company begins to enter its growth phase. Most startups that start with a SQL database leverage the benefits of structured, atomic and integrated data. However, most modern SQL databases can’t scale up with the large influxes of data. Then the same startups have to adopt a NoSQL system for supporting the data explosion. NoSQL databases are decidedly more amicable towards the rapid flow of data. Many companies also use this quality of a NoSQL database to support their Big Data system.
However, the startups that decide to go with NoSQL from their nascent phases often face challenges due to the lack of structure, enough standardized tools and add-ons for data management and analysis.
Is using a SQL database enough for a new business?
That brings us to the obvious question – which technologies should a startup use? Which choices will enable them to overcome the struggles of data preservation and extraction?
It is true that SQL has been around since the beginning of time. They have been incredibly popular with companies running since the 90s, as they are popular with the startups right now. That is a safe approach for most large corporations and enterprises that already have their data inflow on the plateau. However, they are not ideal for startups that have big goals in front of them that require massive amounts of data. A NoSQL database is a smarter solution compared to SQL for a state-of-the-art startup. Link any successful business owner; a NoSQL database has the ability to multi-task. It can be in many places at all times, and the entrepreneurs can access it remotely.
Why do new businesses love NoSQL solutions?
The most significant advantage of NoSQL databases is the availability of multiple in-house and remote management options. NoSQL might not be as old as SQL, but several remote data management companies make the work easy for the businesses that use them. Check out RemoteDBA.com to find out about the different ways a remote database service can help your team and company.
NoSQL databases don’t have schemas. You can think of a schema as a blueprint necessary to categorize and manage your data. While that always runs a risk of creating a hotchpotch of data, a schemaless system also implies that you can add categories or change data types on the go as new information flows in. Since SQL databases always use schema, they are always more rigid as compared to NoSQL. While using a NoSQL, you can readily remove a particular type of data or delete an entire category once you realize that a specific set of data is no longer useful. It takes little time and almost no effort, but doing the same on a SQL database will take significant effort and time.
Since a startup knows decidedly less about the type of information the operations it will need, it is always better to leave an open end. That is only possible when one opts for a NoSQL system. Adopting a scheme requires a detailed knowledge of the database architecture. Without a thorough understanding of the different data type and categories, you will find it extremely hard to make the right choices to develop a schema. Most popular NoSQL databases like MongoDB, Apache Cassandra, don’t use schemas. Some of them use JSON documents that the user can manipulate to add or remove data fields without necessarily making any fundamental changes to the entire database. In short, a NoSQL solution adds agility and customizability to your database.
Do you want to move to a NoSQL database?
If you are already using a database that uses a schema, you might want to take a leap of faith and land on the NoSQL territory. To do so, you should begin by stripping the schema from the data. Pick the data from the SQL database rows and migrate the entire data to documents in your NoSQL solution. Migrating it to a schema-less system is quite straightforward. You can change the labels, redefine the data fields and integrate the different information from multiple sources. It offers real-time flexibility to all database users.
So, what database should a startup adopt?
Every startup begins its journey as a race against the already established ones and the competition only gets fiercer as new companies emerge. The data flow of any startup is like a shark – it has to keep moving to survive. The only way to support its lifetime of movement and growth is by not limiting it. NoSQL solutions provide the ideal environment necessary for the company data to expand. Additionally, entrepreneurs can make all the required changes without worrying about making fundamental changes to the system. Since the nature of information, any startup collects changes over time; it is only wise to adopt a schema-less system that facilitates numerous changes and offers incredible flexibility.
To be precise – a startup should begin its work with NoSQL solutions as soon as it seems a boom in data inflow. NoSQL can support minor edits to the management of Big Data. It leaves options for future scale-ups, as well as it supports remote database management.
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