Apache Solr vs rasdaman

Apache Solr is a free, open-source, self-hosted search platform built on Apache Lucene. It provides full-text, vector, geospatial, and hybrid search through a REST query interface. Documents can be sent over HTTP as JSON, XML, CSV, or binary, with results returned in those formats. Matching supports phrases, wildcards, joins, and grouping; discovery tools include faceting, autocomplete, spelling suggestions, hit highlighting, and result clustering. Solr distributes indexing, replicates data, balances queries, and supports automated failover and recovery. Apache Tika integration extracts rich content such as PDF and Microsoft Word files. Its administrative interface controls instances and exposes cluster state, logs, threads, and metrics. Listed security capabilities include SSL, authentication, and role-based authorization. Solr runs on Linux, macOS, and Windows, with API access, and is licensed under Apache License, Version 2.0. The project describes use from weekend projects to global enterprises. Releases are not scheduled in advance, and versions below 9.10 are end of life without further updates. The Apache Solr plan is free.

rasdaman is a self-hosted database for managing and analyzing large multidimensional arrays, including sensor, image, simulation, and statistics data. It handles raster data, geo coverages, and 3D and 4D arrays. Datacube queries use ISO SQL/MDA and the geo-specific WCPS language, with support for OGC, ISO, and INSPIRE standards such as WCS, WCPS, WMS, and WMTS. Its ETL suite supports more than 100 formats, including JSON, XML, GeoTIFF, and NetCDF. Storage tiling can be tuned for different access patterns, and named clients include Leaflet, NASA WorldWind, QGIS, R, and Python. The free Community plan costs nothing and provides core array-database features. Installation guidance covers source or Debian packages on Ubuntu 20.04, 22.04, and 24.04, recommends at least 8 GB memory, and notes about 400 MB disk use.