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12 changes: 6 additions & 6 deletions site/powered_by.md
Original file line number Diff line number Diff line change
Expand Up @@ -70,11 +70,11 @@ short description of your use case.
Dremio reads data from any source (RDBMS, HDFS, S3, NoSQL) into Arrow
buffers, and provides fast SQL access via ODBC, JDBC, and REST for BI,
Python, R, and more (all backed by Apache Arrow).
* **[Fletcher][20]:** Fletcher is an FPGA acceleration framework that can
convert an Arrow schema into an easy-to-use hardware interface. The
accelerator can request data from Arrow tables by supplying row indices.
In turn, the interface provides streams of data of the types defined
through the schema. Furthermore, Arrow alleviates serialization bottlenecks.
* **[Fletcher][20]:** Fletcher is a framework that can integrate FPGA
accelerators with tools and frameworks that use the Apache Arrow in-memory
format. From a set of Arrow Schemas, Fletcher generates highly optimized
hardware structures that allow accelerator kernels to read and write
RecordBatches at system bandwidth through easy-to-use interfaces.
* **[GeoMesa][8]:** A suite of tools that enables large-scale geospatial query
and analytics on distributed computing systems. GeoMesa supports query
results in the Arrow IPC format, which can then be used for in-browser
Expand Down Expand Up @@ -163,7 +163,7 @@ short description of your use case.
[17]: https://github.com/red-data-tools/red-arrow/
[18]: https://www.graphistry.com
[19]: http://gpuopenanalytics.com
[20]: https://github.com/johanpel/fletcher
[20]: https://github.com/abs-tudelft/fletcher
[21]: https://www.paradigm4.com
[22]: https://github.com/Paradigm4/stream
[23]: https://github.com/jpmorganchase/perspective
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