NoSQL Insights

What is NoSQL?

NoSQL databases (Not Only SQL) provide a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. They are used when the volume, velocity, or variety of data makes using a relational database impractical. NoSQL databases are often preferred for big data and real-time web applications.

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What other technologies are related to NoSQL?

NoSQL Competitor Technologies

SQL

SQL is a query language and standard primarily used with relational databases, offering structured data management which is an alternative to NoSQL's flexible data models.

mentioned alongside NoSQL in 7% (191.6k) of relevant job posts

MongoDB

MongoDB is a document-oriented NoSQL database that competes directly with other NoSQL solutions like Cassandra and Redis and serves as an alternative to SQL databases.

mentioned alongside NoSQL in 15% (56k) of relevant job posts

RDBMS

Relational Database Management Systems (RDBMS) use SQL and structured schemas, representing a different paradigm for data storage and querying than NoSQL databases.

mentioned alongside NoSQL in 29% (18.5k) of relevant job posts

Cassandra

Cassandra is a distributed NoSQL database designed for scalability and high availability, representing an alternative to SQL databases.

mentioned alongside NoSQL in 21% (19k) of relevant job posts

PostgreSQL

PostgreSQL is an advanced relational database management system, representing a structured data approach which contrasts with NoSQL.

mentioned alongside NoSQL in 7% (44.3k) of relevant job posts

MySQL

MySQL is a relational database management system and a competitor to NoSQL databases, offering a structured, SQL-based approach to data management.

mentioned alongside NoSQL in 7% (42.3k) of relevant job posts

Redis

Redis is an in-memory data structure store, often used as a cache or message broker. It is a NoSQL database and competes with other NoSQL databases.

mentioned alongside NoSQL in 12% (22.4k) of relevant job posts

AWS DynamoDB

AWS DynamoDB is a fully managed NoSQL database service, directly competing with other NoSQL databases.

mentioned alongside NoSQL in 14% (16.8k) of relevant job posts

NoSQL Complementary Technologies

AWS

Amazon Web Services (AWS) provides cloud infrastructure and services that NoSQL databases can leverage for deployment, scaling, and management.

mentioned alongside NoSQL in 6% (131.6k) of relevant job posts

Docker

Docker provides containerization technology, making it easier to deploy and manage NoSQL databases in a consistent and isolated environment.

mentioned alongside NoSQL in 8% (85.7k) of relevant job posts

Kafka

Kafka is a distributed streaming platform often used with NoSQL databases for handling real-time data ingestion and processing.

mentioned alongside NoSQL in 13% (52.4k) of relevant job posts

Which job functions mention NoSQL?

Job function

Jobs mentioning NoSQL

Orgs mentioning NoSQL

Engineering & R&D

2% (220.4k) job posts

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21 organizations

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Engineer

2% (219.2k) job posts

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2.4k organizations

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Software Engineer

4% (203.7k) job posts

Data Engineer

Data Architect

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16% of Microservices Migration projects involve NoSQL

Microsoft

Principal Software Engineer

To develop a scalable cloud data warehouse that powers SQL analytics in Azure compute, utilizing technologies such as Azure Data Lake and Microsoft Fabric.

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JPMorgan Chase

CAO Intelligent Automation Program - Associate

To enhance operational efficiency by implementing intelligent automation technologies such as robotic process automation (RPA) and data transformation tools.

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Siemens

IT Solution Expert for SAP HCM Integration (m/f/d)

To integrate Workday with multiple SAP HCM systems using integration platforms like ShapeIn to streamline HR processes.

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Amazon

Applied Scientist, Q Developer Code Agent Science

Developing services that leverage generative AI and foundation models to improve the experience of developers using AWS tools and services.

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Walmart

(USA) Senior Manager, Automation Engineering - Data Engineer

To develop scalable data architectures and real-time data pipelines using technologies like Apache Airflow, Google Cloud Platform, and BigQuery to support AI/ML analytics.

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