document databases Insights

What is document databases?

Document databases are a type of NoSQL database that store data as documents, often in JSON or XML format. They are flexible and schema-less, allowing for easy storage of complex and evolving data structures. Common use cases include content management systems, e-commerce platforms, and mobile applications.

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What other technologies are related to document databases?

document databases Competitor Technologies

Graph databases

Graph databases use graph structures with nodes, edges, and properties to represent and store data. They are optimized for relationship-heavy data, while document databases are suited for storing document-oriented data. While both are NoSQL databases, they are optimized for different use cases.

mentioned alongside document databases in 3% (122) of relevant job posts

SQL Databases

SQL databases are a traditional relational database management system (RDBMS) and compete with document databases (NoSQL) in terms of data storage and retrieval paradigms. SQL databases organize data into tables with rows and columns, while document databases store data as semi-structured documents (e.g., JSON or XML).

mentioned alongside document databases in 1% (52) of relevant job posts

No-SQL

NoSQL databases are a broad category that includes document databases. However, within the NoSQL space, other types of databases like key-value stores, column-family stores, and graph databases exist. Document databases are a type of NoSQL database.

mentioned alongside document databases in 0% (64) of relevant job posts

NoSQL

NoSQL databases are a broad category that includes document databases. However, within the NoSQL space, other types of databases like key-value stores, column-family stores, and graph databases exist. Document databases are a type of NoSQL database.

mentioned alongside document databases in 0% (240) of relevant job posts

relational databases

Relational databases organize data into tables with rows and columns, while document databases store data as semi-structured documents (e.g., JSON or XML). RDBMS compete with document databases.

mentioned alongside document databases in 0% (59) of relevant job posts

Azure SQL

Azure SQL is a relational database service, a type of SQL database offered by Microsoft. SQL databases compete with document databases in terms of data storage and retrieval paradigms.

mentioned alongside document databases in 0% (55) of relevant job posts

Oracle Database

Oracle Database is a relational database management system (RDBMS) and competes with document databases (NoSQL) in terms of data storage and retrieval paradigms.

mentioned alongside document databases in 0% (88) of relevant job posts

document databases Complementary Technologies

Open Shift

OpenShift can be used to containerize and deploy document databases and applications.

mentioned alongside document databases in 2% (76) of relevant job posts

Azure Data Lake

Azure Data Lake is a scalable data lake solution for storing large volumes of data. It can be used to store the documents that would later be processed and stored in the document database.

mentioned alongside document databases in 0% (55) of relevant job posts

Hadoop

Hadoop is a framework for distributed storage and processing of large datasets. Document databases can use Hadoop for large-scale data ingestion, processing, and analytics.

mentioned alongside document databases in 0% (126) of relevant job posts