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…
Stanislav Seltser, Petacube you are talking comparing structured workload(array-based TileDB) to unstructured one (JSON+Spark). Once you convert your JSON to sparce array structure (one time conversion) TileDB will beat…
Stanislav Seltser, Petacube _pmf: think of distributed persistent numpy arrays as opposed to key-value pairs in Redis. The idea you will not pull data to do computation, you will push your code in. pretty good for…
Stanislav Seltser, Petacube Inc ingesting data into postgres makes sense for sparce data but not for dense data because it is waisting a lot of of space due to storage of coordinates with every data point and every…
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…
Stanislav Seltser, Petacube you are talking comparing structured workload(array-based TileDB) to unstructured one (JSON+Spark). Once you convert your JSON to sparce array structure (one time conversion) TileDB will beat…
Stanislav Seltser, Petacube _pmf: think of distributed persistent numpy arrays as opposed to key-value pairs in Redis. The idea you will not pull data to do computation, you will push your code in. pretty good for…
Stanislav Seltser, Petacube Inc ingesting data into postgres makes sense for sparce data but not for dense data because it is waisting a lot of of space due to storage of coordinates with every data point and every…