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Apache Arrow Flight vs ODBC Performance Comparison: Benchmark Results
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This video explores the performance differences between Apache Arrow Flight and ODBC when connecting to data sources. Apache Arrow Flight is a highly efficient protocol that allows users to quickly access data stored in Data Lakehouses, Data Warehouses, Data Lakes, and Data Lake Engines. It has been found to be 20 times faster than using JDBC/ODBC.
Apache Arrow is an open-source standard that has become a necessity for enterprise solutions. This video provides an introduction to the Apache Arrow FlightSQL protocol and how it compares to ODBC in terms of performance. Links are provided for further reading on the Apache Arrow project and its capabilities.
Apache Arrow FlightSQL offers a much faster connection speed than ODBC when accessing data sources such as Data Lakehouses, Data Warehouses, Data Lakes, and Data Lake Engines. It can be used for a wide range of applications such as business intelligence (BI) analytics, ETL/ELT operations, machine learning (ML), artificial intelligence (AI), and more. With its high speed connection capabilities, Apache Arrow FlightSQL can provide an improved user experience by reducing query times and improving overall system performance.
The video also provides links for further reading on the Apache Arrow project and its capabilities. The introduction to Apache Arrow FlightSQL explains how it works and compares it with ODBC in terms of performance. The Subsurface Conference Talk provides insights into why Apache Arrow has become an enterprise necessity as well as how its 20x faster than JDBC/ODBC when connecting to data sources.
Overall this video covers the differences between using Apache Arrow FlightSQL versus ODBC when connecting to data sources. It explains why Apache Arrow is becoming a necessity for enterprises due to its speed advantages over existing protocols such as JDBC/ODBC. Links are provided for further reading on the project so users can gain further insights into the capabilities of this powerful protocol.
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Apache Arrow is an open-source standard that has become a necessity for enterprise solutions. This video provides an introduction to the Apache Arrow FlightSQL protocol and how it compares to ODBC in terms of performance. Links are provided for further reading on the Apache Arrow project and its capabilities.
Apache Arrow FlightSQL offers a much faster connection speed than ODBC when accessing data sources such as Data Lakehouses, Data Warehouses, Data Lakes, and Data Lake Engines. It can be used for a wide range of applications such as business intelligence (BI) analytics, ETL/ELT operations, machine learning (ML), artificial intelligence (AI), and more. With its high speed connection capabilities, Apache Arrow FlightSQL can provide an improved user experience by reducing query times and improving overall system performance.
The video also provides links for further reading on the Apache Arrow project and its capabilities. The introduction to Apache Arrow FlightSQL explains how it works and compares it with ODBC in terms of performance. The Subsurface Conference Talk provides insights into why Apache Arrow has become an enterprise necessity as well as how its 20x faster than JDBC/ODBC when connecting to data sources.
Overall this video covers the differences between using Apache Arrow FlightSQL versus ODBC when connecting to data sources. It explains why Apache Arrow is becoming a necessity for enterprises due to its speed advantages over existing protocols such as JDBC/ODBC. Links are provided for further reading on the project so users can gain further insights into the capabilities of this powerful protocol.
Connect with us!
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