{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database/3"},{"label":"Database Engines/Servers","url":"https://skillfed.io/packages/category/database-database-engines-servers"}],"enrichment":{"capability":"ArcticDB is a serverless DataFrame database that stores and retrieves Pandas DataFrames to S3 or LMDB with a C++ compression engine, supporting time-series data, versioning, and schemaless updates.","skillfed_tags":["time-series-db","dataframe-storage","versioning"],"use_cases":["Store and version-control multi-year financial time-series data (e.g., 20-year histories of 400,000+ securities) in a single symbol.","Query and filter large DataFrames by time range or column values using Pandas-like syntax without loading entire datasets into memory.","Create snapshots of DataFrame state at specific points in time and revert to previous versions for audit or analysis.","Append and update sparse time-series data without enforcing a fixed schema across all records.","Stream real-time data to S3 or LMDB with efficient compression and concurrent read access from multiple clients."],"what_it_does":"ArcticDB is a Python-native database designed to store and query large Pandas DataFrames efficiently, backed by S3, LMDB, or Azure Blob Storage. It combines a Pandas-like API with a C++ data-processing engine to handle time-series data at scale, supporting versioning, snapshots, and schemaless updates without corrupting existing data. The package depends on pandas, numpy, attrs, protobuf, msgpack, pyyaml, packaging, and pytz.\n\nIt is built for scenarios where you need to persist and retrieve DataFrames with version history, efficiently index and filter time-series records, or stream sparse data without schema constraints. Data is pulled directly from storage to the client, eliminating a central server bottleneck. However, production deployments and Database Service use require a paid commercial license; the open-source BSL license permits evaluation and non-production use only.","worth_installing":"Yes, with conditions. Install if you need a versioned, time-series-optimized DataFrame database and can use S3 or LMDB storage. The active maintenance, wide platform support (Python 3.9\u20133.14), and zero known vulnerabilities are strong signals. However, production deployments require a paid license from ArcticDB Limited; confirm licensing terms with info@arcticdb.io before committing to production use. Medium install friction is acceptable for the capability gained."},"id":"arcticdb","links":{"html":"https://skillfed.io/packages/arcticdb","md":"https://skillfed.io/packages/arcticdb.md","pypi":"https://pypi.org/project/arcticdb/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":null,"license_treatment":"unclear","name":"arcticdb","python_support":"unspecified","summary":"ArcticDB DataFrame Database"},"popularity":{"monthly_downloads":252173,"position":8555,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"6.22.0"}