spb/tools-spboucher-ai

1{2  "aliases": [3    "Timescale",4    "Tiger Data"5  ],6  "workflows": [7    "Store intraday market data or IoT telemetry in PostgreSQL",8    "Downsample metrics with continuous aggregates for dashboards",9    "Mix time-series tables with relational reference data"10  ],11  "advantages": [12    "Keeps the PostgreSQL ecosystem and SQL",13    "Compression reduces storage for historical data",14    "Self-hostable under Apache 2.0 plus Timescale License"15  ],16  "limitations": [17    "Advanced features fall under the source-available Timescale License",18    "Single-node scaling for self-hosted deployments",19    "Company and documentation rename can confuse older references"20  ],21  "prerequisites": [22    "A PostgreSQL server where the extension can be installed, or the Tiger Cloud service"23  ],24  "audiences": [25    "Data engineers with time-series workloads",26    "Quantitative researchers storing market data"27  ],28  "alternatives": [29    "postgresql",30    "clickhouse",31    "duckdb"32  ],33  "tags": [34    "time-series",35    "sql",36    "postgresql",37    "self-hosted"38  ],39  "use_cases": [40    "analyze-intraday-data",41    "monitor-services"42  ],43  "operating_systems": [44    "linux",45    "macos",46    "windows"47  ],48  "deployment_models": [49    "on-premises",50    "managed-cloud"51  ],52  "integrations": [53    "PostgreSQL",54    "Grafana",55    "Apache Kafka",56    "Prometheus",57    "pgvector"58  ],59  "data_formats": [60    "SQL",61    "CSV",62    "Parquet (tiering/export)"63  ],64  "languages": [65    "SQL",66    "C",67    "Python",68    "Go",69    "JavaScript"70  ],71  "self_hostable": true,72  "discovery_method": "editorial-research",73  "depth": "standard",74  "editorial_status": "reviewed",75  "visibility": "public",76  "featured": false,77  "author": "batch-D",78  "slug": "timescaledb",79  "name": "TimescaleDB",80  "vendor": {81    "name": "Tiger Data (formerly Timescale)",82    "slug": "tiger-data",83    "website": "https://www.tigerdata.com/"84  },85  "homepage_url": "https://www.tigerdata.com/",86  "docs_url": "https://www.tigerdata.com/docs",87  "repo_url": "https://github.com/timescale/timescaledb",88  "license_url": "https://github.com/timescale/timescaledb/blob/main/LICENSE",89  "pricing_url": "https://www.tigerdata.com/pricing",90  "pricing_checked_at": "2026-11-02",91  "product_type": "extension",92  "product_status": "active",93  "summary": "PostgreSQL extension for time-series data adding hypertables, compression and continuous aggregates, from the company now named Tiger Data",94  "description": "TimescaleDB is a PostgreSQL extension that turns ordinary tables into hypertables partitioned automatically by time (and optionally another key), adds columnar compression for older chunks, continuous aggregates that keep materialized rollups current, and a library of hyperfunctions for time-bucketing and gap filling. Because it is an extension, the full PostgreSQL SQL dialect, tooling and driver ecosystem keep working.\n\nThe company behind it rebranded from Timescale to Tiger Data in 2025; timescale.com now redirects to tigerdata.com, and the hosted service is sold under the Tiger Data name. The repository is split by license: code outside the tsl directory is Apache 2.0, while the tsl directory (compression, continuous aggregates and other advanced features) is under the source-available Timescale License, which permits self-hosted use but restricts offering it as a database service.\n\nTypical users are teams storing sensor, market or operational metrics who want SQL and relational joins rather than a separate time-series store. Scaling is bounded by a single PostgreSQL instance unless the managed service is used.",95  "capabilities": [96    "Hypertables with automatic time partitioning",97    "Columnar compression of historical chunks",98    "Continuous aggregates (incrementally maintained rollups)",99    "Hyperfunctions for time bucketing, gap filling and statistics",100    "Data retention and tiering policies",101    "Standard PostgreSQL SQL, drivers and tools"102  ],103  "categories": [104    {105      "slug": "relational-databases",106      "primary": true107    },108    {109      "slug": "hf-finance-research",110      "label": "Time-series storage in PostgreSQL"111    }112  ],113  "execution_modes": [114    "self-hosted",115    "cloud"116  ],117  "interfaces": [118    "library",119    "api"120  ],121  "source_model": "mixed",122  "license_spdx": "Apache-2.0 AND LicenseRef-Timescale-License",123  "pricing_model": [124    "open-source",125    "free",126    "usage-based",127    "enterprise"128  ],129  "sources": [130    {131      "url": "https://www.tigerdata.com/",132      "type": "official_site",133      "supports": [134        "name",135        "summary",136        "vendor"137      ],138      "checked_at": "2026-11-02",139      "title": "Tiger Data – Time-Series PostgreSQL at Petabyte Scale",140      "note": "timescale.com redirects here"141    },142    {143      "url": "https://www.tigerdata.com/docs",144      "type": "official_docs",145      "supports": [146        "capabilities"147      ],148      "checked_at": "2026-11-02",149      "title": "Tiger Data documentation"150    },151    {152      "url": "https://github.com/timescale/timescaledb/blob/main/LICENSE",153      "type": "license_page",154      "supports": [155        "license_spdx",156        "source_model"157      ],158      "checked_at": "2026-11-02",159      "title": "TimescaleDB LICENSE (Apache 2.0 outside tsl, Timescale License inside tsl)"160    },161    {162      "url": "https://www.tigerdata.com/pricing",163      "type": "pricing_page",164      "supports": [165        "pricing_model"166      ],167      "checked_at": "2026-11-02",168      "title": "Tiger Data pricing"169    },170    {171      "url": "https://github.com/timescale/timescaledb",172      "type": "repository",173      "supports": [174        "repo_url"175      ],176      "checked_at": "2026-11-02",177      "title": "timescale/timescaledb"178    }179  ],180  "confidence": "high"181}182