ChronosDB Storage Layer
avoid data Import
ChronosDB directly operates on files: no time-consuming and error-prone data ingestion into an internal DBMS format.
Powerful storage
ChronosDB currently works with GeoTIFF & NetCDF files. They support chunking, compression, multiple data types and more.
Share data readily
ChronosDB stores data in ordinary files in standardized formats. You can directly access the data from any other software.
Array Schema
Driver: GTiff/GeoTIFF
Size is 38673, 24937
Coordinate System is:
PROJCS["WGS 84 / UTM zone 32N",
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0,
AUTHORITY["EPSG","8901"]],
UNIT["degree",0.0174532925199433,
AUTHORITY["EPSG","9122"]],
AUTHORITY["EPSG","4326"]],
PROJECTION["Transverse_Mercator"],
PARAMETER["latitude_of_origin",0],
PARAMETER["central_meridian",9],
PARAMETER["scale_factor",0.9996],
PARAMETER["false_easting",500000],
PARAMETER["false_northing",0],
UNIT["metre",1,
AUTHORITY["EPSG","9001"]],
AXIS["Easting",EAST],
AXIS["Northing",NORTH],
AUTHORITY["EPSG","32632"]]
Origin = (-53110.000000000000000,5878570.000000000000000)
Pixel Size = (30.000000000000000,-30.000000000000000)
Metadata:
AREA_OR_POINT=Area
Band_4=band 4 surface reflectance
Corner Coordinates:
Upper Left ( -53110.000, 5878570.000) ( 0d47'37.30"E, 52d46'20.14"N)
Lower Left ( -53110.000, 5130460.000) ( 1d50'34.16"E, 46d 6'11.15"N)
Upper Right ( 1107080.000, 5878570.000) ( 17d59'48.38"E, 52d42'52.21"N)
Lower Right ( 1107080.000, 5130460.000) ( 16d50'57.11"E, 46d 3'26.67"N)
Center ( 526985.000, 5504515.000) ( 9d22'26.95"E, 49d41'33.18"N)
Subarray=2048x2048 Block=2048x1 Type=UInt16, ColorInterp=Gray
NoData Value=0
Avoid learning a new array schema notation and inspect ChronosDB datasets in a way you are accustomed to.
Publications
The list of recent publications related to ChronosDB.
R.A. Rodriges Zalipynis. ChronosDB: Distributed, File Based, Geospatial Array DBMS. PVLDB, 11(10): 1247-1261, 2018.
R.A. Rodriges Zalipynis. ChronosDB in Action: Manage, Process, and Visualize Big Geospatial Arrays in the Cloud. ACM SIGMOD International Conference on Management of Data, June 30-July 5, 2019, Amsterdam, The Netherlands.
R.A. Rodriges Zalipynis. BitFun: Fast Answers to Queries with Tunable Functions in Geospatial Array DBMS. PVLDB, 13(12): 2909-2912, 2020.
R.A. Rodriges Zalipynis. Convergence of Array DBMS and Cellular Automata: A Road Traffic Simulation Case. ACM SIGMOD International Conference on Management of Data, June 20-25, 2021, Virtual Event, China.
R.A. Rodriges Zalipynis. Array DBMS: Past, Present, and (Near) Future. PVLDB, 14(12): 3186-3189, 2021.
R.A. Rodriges Zalipynis, N. Terlych. WebArrayDB: A Geospatial Array DBMS in Your Web Browser. PVLDB 15(12): 3622-3625, 2022.
R.A. Rodriges Zalipynis. SimDB in Action: Road Traffic Simulations Completely Inside Array DBMS. PVLDB 15(12): 3742-3745, 2022.
R.A. Rodriges Zalipynis. FastMosaic in Action: A New Mosaic Operator for Array DBMSs. PVLDB 16(12): 3938-3941, 2023.