document databases
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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.
What other technologies are related to document databases?
document databases Competitor Technologies
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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.
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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).
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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.
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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.
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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.
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.
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.
Number of organizations that mention technology
260
document databases
1,239
Graph databases
2,403
SQL Databases
5,247
No-SQL
46,321
NoSQL
6,707
relational databases
13,805
Azure SQL
28,782
Oracle Database
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document databases Complementary Technologies
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Open Shift
OpenShift can be used to containerize and deploy document databases and applications.
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.
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.
Number of organizations that mention technology
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Which job functions commonly mention document databases?
Data Architect
0.1% of all Data Architect jobs mention document databases
View 34
jobs on Sumble
Data Engineer
61 Data Engineer jobs mention document databases
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jobs on Sumble
DevOps Engineer
20 DevOps Engineer jobs mention document databases
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jobs on Sumble
Software Engineer
427 Software Engineer jobs mention document databases
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jobs on Sumble
Engineer
481 Engineer jobs mention document databases
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jobs on Sumble
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