Best Document Databases
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Compare the Top Document Databases as of April 2025
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What are Document Databases?
Document databases are a type of NoSQL database designed to store, manage, and retrieve semi-structured data in the form of documents, typically using formats like JSON, BSON, or XML. Unlike traditional relational databases, document databases do not require a fixed schema, allowing for greater flexibility in handling diverse and evolving data structures. Each document in the database can contain different fields and data types, making it ideal for applications where data is complex and varied. These databases excel at scaling horizontally, making them well-suited for handling large volumes of data across distributed systems. Document databases are commonly used in modern web and mobile applications, where they provide efficient storage and fast access to rich, nested data structures. Compare and read user reviews of the best Document Databases currently available using the table below. This list is updated regularly.
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InstaDB
Atinea
It has been extensively tested on real-life business projects. It is stable and robust, easily extendable and efficient. It can be used in a vast range of applications. Every column added to a table is automatically accessible in the table filters. Moreover, in the case of references, you may filter using any parameter of referee tables. You may use any column (including columns of referee tables) for sorting your records. You may compose several filters to get a hierarchical order. Export to xls or csv is simple. You just copy-paste or download a csv file. Importing from spreadsheets is supported. InstaDB checks whether the formats are correct and referenced records exist in the database. Before any update, a preview of changes is displayed in order to avoid unwanted changes. It is easy to show, hide and change the order of columns. The Reset View button always restores the default column composition.Starting Price: $20 per month
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