What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in nosql databases category. Our data sources in nosql databases category include;
Non-relational databases, also called NoSQL databases, are designed distinctively for different use cases. These databases do not contain rows and columns, and choosing the best structure is one of the main challenges. However, businesses can prefer these databases because of their ease of scalability. Document-oriented databases, graph databases, key-value databases and, object databases are different types of non-relational databases.
If you’d like to learn about the ecosystem consisting of NoSQL Databases and others, feel free to check AIMultiple Database.
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We use the data sources on the side for ranking solutions and awarding badges in nosql databases category. Our data sources in nosql databases category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Amazon DynamoDB
IMS
Amazon Neptune
Google Cloud Datastore
ArmChair
Taking into account the latest metrics outlined below, these are the current nosql databases market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Amazon DynamoDB
IMS
Amazon Neptune
Google Firebase Realtime Database
Google Cloud Datastore
These are the number of queries on search engines which include the brand name of the solution. Compared to other Database categories, NoSQL Databases is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 95%, 11% more than the average of search queries in this area.
84 employees work for a typical company in this solution category which is 63 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 9 companies with >10 employees are offering nosql databases. Top 3 products are developed by companies with a total of 400k employees. The largest company building nosql databases is Google with more than 200,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Amazon DynamoDB
Anzo Smart Data Lake
IMS
Google Cloud Datastore
ArmChair
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all NoSQL Databases companies. The most positive word describing NoSQL Databases is “Easy to use” that is used in 9% of the reviews. The most negative one is “Difficult” with which is used in 7.00% of all the NoSQL Databases reviews.
According to customer reviews, most common company size for nosql databases customers is 1,001+ employees. Customers with 1,001+ employees make up 36% of nosql databases customers. For an average Database solution, customers with 1,001+ employees make up 34% of total customers.
These scores are the average scores collected from customer reviews for all NoSQL Databases. NoSQL Databases is most positively evaluated in terms of "Overall" but falls behind in "Likelihood to Recommend".
This category was searched on average for 33.8k times per month on search engines in 2022. This number has decreased to 33.1k in 2023. If we compare with other database solutions, a typical solution was searched 2.1k times in 2022 and this increased to 2.4k in 2023.