Columnar Databases
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Explore more → **Columnar Databases**
What is Columnar Databases?
Columnar databases store data by columns rather than rows. This is highly beneficial for analytical queries that involve aggregations and calculations on a subset of columns, as it reduces I/O and improves query performance. They are commonly used in data warehousing, business intelligence, and analytics applications.
What other technologies are related to Columnar Databases?
Columnar Databases Competitor Technologies
FoundationDB
FoundationDB is a distributed database with a different architectural approach. Although it isn't columnar, it competes for use cases where high scalability and fault tolerance are needed.
relational databases
Traditional row-oriented relational databases (e.g., PostgreSQL, MySQL) compete with columnar databases for analytical workloads, although they are generally less efficient for large-scale analytics.
Cassandra
Cassandra is a NoSQL database that serves similar purposes as columnar databases in handling large datasets, but uses a different data model and is not primarily designed for analytical workloads.
NoSQL
NoSQL databases in general provide alternative approaches to data storage and retrieval, competing with columnar databases in various use cases, especially those involving high write throughput and flexible schemas.
AWS Redshift
AWS Redshift is a fully managed, petabyte-scale data warehouse service that uses columnar storage, making it a direct competitor to other columnar database solutions.
AWS DynamoDB
DynamoDB is a NoSQL database service that competes for use cases involving high scalability and flexible schemas, but isn't a columnar database itself.
Number of organizations that mention technology
115
Columnar Databases
66
FoundationDB
6,707
relational databases
12,688
Cassandra
46,321
NoSQL
18,579
AWS Redshift
17,100
AWS DynamoDB
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Columnar Databases Complementary Technologies
HDFS
HDFS (Hadoop Distributed File System) is a distributed storage system often used as the underlying storage layer for columnar databases like Hive or Impala.
Hadoop
Hadoop, as an ecosystem, provides tools and frameworks that work with columnar databases, such as HDFS for storage and MapReduce for processing.
Spark
Spark can be used to process data stored in columnar databases and can be integrated with them for data transformation and analysis.
Number of organizations that mention technology
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Which job functions commonly mention Columnar Databases?
Database Engineer
13 Database Engineer jobs mention Columnar Databases
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jobs on Sumble
Site Reliability Engineer
18 Site Reliability Engineer jobs mention Columnar Databases
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jobs on Sumble
Data Engineer
70 Data Engineer jobs mention Columnar Databases
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jobs on Sumble
Software Engineer
228 Software Engineer jobs mention Columnar Databases
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jobs on Sumble
Engineer
250 Engineer jobs mention Columnar Databases
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jobs on Sumble
Which organizations are mentioning Columnar Databases?
Morgan Stanley
Finance and Insurance
JPMorgan Chase
Finance and Insurance
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