TileDB: Storing massive dense and sparse multi-dimensional array data

Re:TileDB: Storing massive dense and sparse multi-dimensiona... by kuwze on Thursday October 26, 2017 @12:18PM (#15560273)

I wonder how it compares to SciDB[0] which is also used for storing multidimensional data.

[0]: https://en.wikipedia.org/wiki/SciDB

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Re:TileDB: Storing massive dense and sparse multi-dimensiona... by jakebol on Thursday October 26, 2017 @03:15PM (#15562089)

Jake from TileDB, Inc. In addition to the differences pointed out in the paper, I think SciDB and TileDB are very different philosophically. SciDB is architected very much like a traditional RDMS while TileDB is much more lightweight. SciDB encourages you to use their own query language (AQL), TileDB wants to integrate and extend the high level tools you already use (Python, R, etc.) with as little overhead as possible.

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Re:TileDB: Storing massive dense and sparse multi-dimensiona... by StanSeltser on Thursday October 26, 2017 @11:35PM (#15565521)

Stanislav Seltser, Petacube kuwze: the following things are fundamentally different: license, software size,data model, sparsity support

SciDB --- license: Affero ,software size: 5GB ,data model: ACID ,focus on: dense ,dimensions: integer ------

TileDB license MIT ,software size <1MB , data model: eventual consistency via fragments , focus on: dense, sparse ,dimensions are integer, floats

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Re:TileDB: Storing massive dense and sparse multi-dimensiona... by fisherjeff on Thursday October 26, 2017 @12:26PM (#15560338)

They cover that in their paper: https://people.csail.mit.edu/stavrosp/papers/vldb2017/VLDB17...

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