This trick‑or‑treat season brings a new treat: we’ve released Apache Arrow 22.0.0! Read the announcement details here: https://lnkd.in/d6YhEVvv
Apache Arrow
Software Development
The universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
About us
Apache Arrow is a software development platform for building high performance applications that process and transport large data sets. It is designed to both improve the performance of analytical algorithms and the efficiency of moving data from one system or programming language to another.
- Website
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https://arrow.apache.org
External link for Apache Arrow
- Industry
- Software Development
- Company size
- 51-200 employees
- Type
- Nonprofit
- Founded
- 2016
Employees at Apache Arrow
Updates
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Apache Arrow .NET 22.0.0 released! https://lnkd.in/gJuhjtzv This is the first release from https://lnkd.in/gMBARfPc . Recently, Apache Arrow .NET was extracted from https://lnkd.in/g7WWsnWa . We welcome your contributions such as reporting bugs, helping other users, open/review PRs!
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Apache Arrow reposted this
Registrations are open for the Apache Arrow Summit 25, happening on October 2nd at Paris, hosted by PyData Paris. The only requirement in order to attend is to register at: https://lnkd.in/dxJP9RPu We encourage you to also attend PyData Paris if you are interested; if you want to do so, you need to register separately https://lnkd.in/eV_Vbz9Y We are looking forward to seeing you there and talking about all things Arrow.
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Registrations are open for the Apache Arrow Summit 25, happening on October 2nd at Paris, hosted by PyData Paris. The only requirement in order to attend is to register at: https://lnkd.in/dxJP9RPu We encourage you to also attend PyData Paris if you are interested; if you want to do so, you need to register separately https://lnkd.in/eV_Vbz9Y We are looking forward to seeing you there and talking about all things Arrow.
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A new major Arrow release arrives, 21.0.0 comes with a lot of new things! Check out our blog post for some release details. https://lnkd.in/dRM7d9kp Take a look on the details of our Arrow Summit happening on October 2nd 2025 at Paris, more details on the blog post!
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We are pleased to announce the Apache Arrow Summit 25 ! The event will be in person, on Oct 2nd, in Paris (hosted by PyData Paris). The Arrow Summit focuses on gathering and building the community around Apache Arrow and his ecosystem. It will be a great opportunity to meet all together and have great discussions about Arrow, what's coming, new ideas, etc. The Call For Proposal is open: https://lnkd.in/dTZ39Ty2 Please submit your talks before July 26th! We are waiting to meet you!
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Apache Arrow Swift 21.0.0 released! https://lnkd.in/gPbP6tU3 This is the first release from https://lnkd.in/gYbBPaDp . Recently, Apache Arrow Swift was extracted from https://lnkd.in/g7WWsnWa . We welcome your contributions such as reporting bugs, helping other users, open/review PRs!
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Apache Arrow reposted this
Apache Arrow JS 21.0.0 released! https://lnkd.in/gFaycb2Q This is the first release from https://lnkd.in/gbYBtB6t . Recently, Apache Arrow JS was extracted from https://lnkd.in/g7WWsnWa . We welcome your contributions such as reporting bugs, helping other users, open PRs and review PRs!
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Apache Arrow JS 21.0.0 released! https://lnkd.in/gFaycb2Q This is the first release from https://lnkd.in/gbYBtB6t . Recently, Apache Arrow JS was extracted from https://lnkd.in/g7WWsnWa . We welcome your contributions such as reporting bugs, helping other users, open PRs and review PRs!
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Check out the new Apache Arrow Go 18.2.0 release:
The Apache Arrow community is happy to announce the release of v18.2.0 of the Arrow Golang libraries! This includes libraries for Arrow, Parquet, Flight and FlightSQL You can find the announcement at https://lnkd.in/e2zDVYCd which also includes a small changelog and a link to the full changelog and release! Some of the highlights are: * Fixing some bitmap ops on 32-bit platforms * Allocations by arrow/memory will always be aligned even from the Mallocator * Sped up overflow checks for small integers in compute library * The parquet_reader CLI now has an option to dump the column and index offsets * Parquet Column readers now have a SeekToRow method that will leverage column/index offsets if they exist Go check it out! And of course the documentation can be found at https://lnkd.in/egVmbdqC