DuckDB
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Explore more → **DuckDB**
What is DuckDB?
DuckDB is an embedded analytical database management system. It's designed for fast, in-process querying of data. DuckDB excels at handling large datasets and complex analytical queries directly within applications, without requiring a separate database server. It is often used for data science, data analysis, and online analytical processing (OLAP) workloads, especially when performance and ease of use are critical.
What other technologies are related to DuckDB?
DuckDB Competitor Technologies
Polars
Polars is an in-memory dataframe library that competes with DuckDB for analytical workloads, especially for Python users.
ClickHouse
ClickHouse is a column-oriented OLAP database that can be used for analytical queries, similar to DuckDB.
Snowflake
Snowflake is a cloud data warehouse that competes with DuckDB in terms of analytical query processing, although DuckDB is often used for local or embedded analytics.
PostgreSQL
PostgreSQL is a general-purpose relational database. While it can be used for analytics, DuckDB is often faster for analytical workloads.
Spark
Spark is a distributed computing framework often used for large-scale data processing and analytics. DuckDB offers an alternative for smaller to medium datasets and is easier to set up.
AWS Redshift
AWS Redshift is a cloud data warehouse that competes with DuckDB for analytical workloads, though DuckDB is more focused on local or embedded analytics.
Databricks
Databricks is a data and AI company offering a platform for data engineering, data science, and machine learning. Its SQL Analytics (formerly SQL Endpoints) component competes with DuckDB.
GCP BigQuery
BigQuery is a cloud data warehouse that competes with DuckDB for analytical query processing.
Number of organizations that mention technology
378
DuckDB
821
Polars
2,307
ClickHouse
25,765
Snowflake
81,104
PostgreSQL
33,141
Spark
18,579
AWS Redshift
23,236
Databricks
20,684
GCP BigQuery
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DuckDB Complementary Technologies
Dagster
Dagster is a data orchestrator that can be used to manage and orchestrate DuckDB-based data pipelines.
Apache Iceberg
Iceberg is an open table format. DuckDB can query Iceberg tables and can be used with it for data lake analytics.
Parquet
Parquet is a columnar storage format that DuckDB can read and write efficiently. It's a common format for data that DuckDB processes.
Number of organizations that mention technology
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Which job functions commonly mention DuckDB?
Analytics Engineer
0.2% of all Analytics Engineer jobs mention DuckDB
View 24
jobs on Sumble
Data Engineer
0.1% of all Data Engineer jobs mention DuckDB
View 242
jobs on Sumble
Software Engineer
634 Software Engineer jobs mention DuckDB
View 634
jobs on Sumble
Data, Analytics & Machine Learning
155 Data, Analytics & Machine Learning jobs mention DuckDB
View 155
jobs on Sumble
Engineer
704 Engineer jobs mention DuckDB
View 704
jobs on Sumble
Which organizations are mentioning DuckDB?
Spindle AI (spindle.ai)
Scientific and Technical Services
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