StanSeltser

7 ms·

1. 1.▲
   by StanSeltser 9y ago

   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:
2. 2.▲
   by StanSeltser 9y ago

   Stanislav, Seltser, Petacube agree with Jake. Matlab still has some unique features to it which many open source projects (eg python) don't have - eg FPGA integration, System Modeling and Simulation. Combine that with decent language,
3. 3.▲
   by StanSeltser 9y ago

   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 Spark+JSON by sever
4. 4.▲
   by StanSeltser 9y ago

   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 archiving due to compressi
5. 5.▲
   by StanSeltser 9y ago

   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 weather variable. If you