{"slug": "exasol", "name": "Exasol", "category": "databases", "category_name": "Databases", "description": "", "recommenders": 3, "commenters": 5, "warners": 0, "score": 2.921, "rising": -0.98, "first": "2026-01-08", "latest": "2026-02-04", "why": "Exasol is another MPP database that easily handles super-wide tables", "why_is_quote": true, "has_verdict": false, "sentiment": {"recommend": 3, "neutral": 1, "compare": 1, "warn": 0}, "spark": [0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], "listed": true, "loved": [], "caveat": "", "short_quote": "Exasol is another MPP database that easily handles super-wide tables", "kind": "", "icon": true, "domain": "exasol.com", "github_repo": null, "official_url": "https://www.exasol.com/", "pricing": "", "aliases": ["Exasol"], "verdict": null, "praise": [{"label": "", "summary": "", "quotes": [{"id": 749198512, "item_id": 46824907, "url": "https://news.ycombinator.com/item?id=46824907", "by": "ugamarkj", "date": "2026-01-30", "version": null, "stance": "recommend", "quote": "Exasol has pretty good support.", "excerpt": "As far as bottlenecks, I haven't really hit any in the 10 years we've been using it. Any bottleneck pain points are really user induced. We had some initial system instability during our upgrade from v7 to v8, which was a significant platform architecture change. Those issues have now been resolved. Exasol has pretty good support. Regarding the 200k values in a where clause, we have some users that will do research a", "context": "Has used Exasol for 10 years", "use_case": "Analytics database", "switched_from": "", "story": "Database Benchmarks Lie (If You Let Them)"}, {"id": 746066096, "item_id": 46629131, "url": "https://news.ycombinator.com/item?id=46629131", "by": "jinjin2", "date": "2026-01-14", "version": null, "stance": "recommend", "quote": "Exasol is another MPP database that easily handles super-wide tables", "excerpt": "Exasol is another MPP database that easily handles super-wide tables, and does all the distribution across nodes for you. It used to only be available for big enterprises, but now there is a totally free version you can try out: https://www.exasol.com/personal", "context": "", "use_case": "wide-table analytics database", "switched_from": "", "story": "Distributed SQL engine for ultra-wide tables"}, {"id": 744811648, "item_id": 46550728, "url": "https://news.ycombinator.com/item?id=46550728", "by": "budapest05", "date": "2026-01-08", "version": null, "stance": "recommend", "quote": "From an analytics perspective Exasol is excellent", "excerpt": "From an analytics perspective Exasol is excellent: high performance & MPP scale. They offer a free Personal Edition for download and testing (cloud and on\u2011prem options available): https://downloads.exasol.com/exasol-personal worth a quick benchmark with your own data.", "context": "", "use_case": "Analytics database", "switched_from": "", "story": "Databases in 2025: A Year in Review"}]}], "caveats": [], "who": [{"by": "ugamarkj", "context": "Has used Exasol for 10 years", "url": "https://news.ycombinator.com/item?id=46824907", "date": "2026-01-30"}], "tags": [], "use_cases": ["analytics database", "wide-table analytics database"], "compared": [], "makers": [], "threads": [{"url": "https://news.ycombinator.com/item?id=46780489", "title": "Database Benchmarks Lie (If You Let Them)", "mentions": 2}, {"url": "https://news.ycombinator.com/item?id=46585063", "title": "Exasol Personal \u2013 Democratizing Big Data Analytics", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=46624190", "title": "Distributed SQL engine for ultra-wide tables", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=46496103", "title": "Databases in 2025: A Year in Review", "mentions": 1}], "sentiment_by_month": {"2025-11": {}, "2025-12": {}, "2026-01": {"recommend": 3, "neutral": 1}, "2026-02": {"compare": 1}, "2026-03": {}, "2026-04": {}, "2026-05": {}, "2026-06": {}, "2026-07": {}, "2026-08": {}, "2026-09": {}, "2026-10": {}}, "versions": [], "version_unnamed": 0, "quotes": [{"id": 750209043, "item_id": 46888065, "url": "https://news.ycombinator.com/item?id=46888065", "by": "dashdoesdata", "date": "2026-02-04", "version": null, "stance": "compare", "quote": "Exasol (and SingleStore, Snowflake, BigQuery, etc) are more focused on enterprise BI", "excerpt": "You need to look at use-case alignment as well as performance. Apache Pinot, Druid and Clickhouse are designed for low-latency analytical queries at high concurrency with continuous ingestion. Pinot is popular because of it's native integration with streaming systems like Kafka, varied indexing, and it's ability to scale efficiently. They're widely used in observability and user-facing analytics \u2013 which are how \u201creal", "context": "", "use_case": "", "switched_from": "", "story": "Database Benchmarks Lie (If You Let Them)"}, {"id": 749198512, "item_id": 46824907, "url": "https://news.ycombinator.com/item?id=46824907", "by": "ugamarkj", "date": "2026-01-30", "version": null, "stance": "recommend", "quote": "Exasol has pretty good support.", "excerpt": "As far as bottlenecks, I haven't really hit any in the 10 years we've been using it. Any bottleneck pain points are really user induced. We had some initial system instability during our upgrade from v7 to v8, which was a significant platform architecture change. Those issues have now been resolved. Exasol has pretty good support. Regarding the 200k values in a where clause, we have some users that will do research a", "context": "Has used Exasol for 10 years", "use_case": "Analytics database", "switched_from": "", "story": "Database Benchmarks Lie (If You Let Them)"}, {"id": 746377120, "item_id": 46648570, "url": "https://news.ycombinator.com/item?id=46648570", "by": "zX41ZdbW", "date": "2026-01-16", "version": null, "stance": "neutral", "quote": "I was trying to add Exasol to ClickBench", "excerpt": "This is good news. I was trying to add Exasol to ClickBench (https://github.com/ClickHouse/ClickBench/) since 2016, but it was not possible due to the limitations and the fact that it required using a custom virtual machine image. Now we should try it again...", "context": "", "use_case": "", "switched_from": "", "story": "Exasol Personal \u2013 Democratizing Big Data Analytics"}, {"id": 746066096, "item_id": 46629131, "url": "https://news.ycombinator.com/item?id=46629131", "by": "jinjin2", "date": "2026-01-14", "version": null, "stance": "recommend", "quote": "Exasol is another MPP database that easily handles super-wide tables", "excerpt": "Exasol is another MPP database that easily handles super-wide tables, and does all the distribution across nodes for you. It used to only be available for big enterprises, but now there is a totally free version you can try out: https://www.exasol.com/personal", "context": "", "use_case": "wide-table analytics database", "switched_from": "", "story": "Distributed SQL engine for ultra-wide tables"}, {"id": 744811648, "item_id": 46550728, "url": "https://news.ycombinator.com/item?id=46550728", "by": "budapest05", "date": "2026-01-08", "version": null, "stance": "recommend", "quote": "From an analytics perspective Exasol is excellent", "excerpt": "From an analytics perspective Exasol is excellent: high performance & MPP scale. They offer a free Personal Edition for download and testing (cloud and on\u2011prem options available): https://downloads.exasol.com/exasol-personal worth a quick benchmark with your own data.", "context": "", "use_case": "Analytics database", "switched_from": "", "story": "Databases in 2025: A Year in Review"}]}