Dremio
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Explore more → **Dremio**
What is Dremio?
Dremio is a data lake engine that provides a fast, self-service analytics experience for data consumers. It enables users to query data directly in data lakes and other data sources without requiring data movement or creating data warehouses or cubes. It is commonly used for business intelligence (BI), data exploration, and ad-hoc analytics.
What other technologies are related to Dremio?
Dremio Competitor Technologies
Trino
Trino is a distributed SQL query engine designed to query data lakes. It competes directly with Dremio in providing fast, interactive SQL queries on data lakes.
Denodo
Denodo is a data virtualization platform that allows users to query data from various sources without moving it. This competes with Dremio's data lake querying and data virtualization features.
Starburst
Starburst is a commercial distribution of Trino, a distributed SQL query engine. It competes with Dremio in the data lake analytics space.
Presto
Presto is the predecessor to Trino, a distributed SQL query engine. It competes directly with Dremio in providing fast, interactive SQL queries on data lakes.
Databricks
Databricks provides a unified analytics platform with its own SQL engine and data lake capabilities. It competes with Dremio in the data lake analytics and data engineering space.
Dataiku
Dataiku is an end-to-end data science platform that offers data preparation, machine learning, and deployment capabilities. It overlaps with Dremio's data preparation and data access features.
Snowflake
Snowflake is a cloud data warehouse that provides SQL-based analytics. While it primarily focuses on structured data, it competes with Dremio in the broader analytics market.
Greenplum
Greenplum is a massively parallel processing (MPP) data warehouse. It competes with Dremio in providing SQL-based analytics on large datasets.
Number of organizations that mention technology
709
Dremio
1,255
Trino
1,381
Denodo
475
Starburst
3,876
Presto
23,236
Databricks
2,237
Dataiku
25,765
Snowflake
850
Greenplum
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Dremio Complementary Technologies
Apache Iceberg
Iceberg is an open table format that Dremio can query. It provides features like schema evolution and time travel, enhancing Dremio's data lake querying capabilities.
Parquet
Parquet is a columnar storage format commonly used in data lakes. Dremio can directly query Parquet files, making it a complementary technology.
Spark
Spark is a distributed computing framework often used for data processing and ETL. Dremio can leverage Spark for certain data transformations, and Spark can write data to data lakes queried by Dremio.
Number of organizations that mention technology
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Which job functions commonly mention Dremio?
Data Engineer
0.3% of all Data Engineer jobs mention Dremio
View 716
jobs on Sumble
Data Analyst
412 Data Analyst jobs mention Dremio
View 412
jobs on Sumble
Data, Analytics & Machine Learning
608 Data, Analytics & Machine Learning jobs mention Dremio
View 608
jobs on Sumble
Software Engineer
1412 Software Engineer jobs mention Dremio
View 1.4k
jobs on Sumble
Engineer
1486 Engineer jobs mention Dremio
View 1.5k
jobs on Sumble
Which organizations are mentioning Dremio?
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