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This is optional, you can plot location data in Superset without a MapBox API key, but you will see a message telling you that you should add a key and the background image of the map will be missing (you will only see the data points and not the map background). MapBox provides a free tier if you would like to use it.
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This is optional, you can plot location data in Superset without a Mapbox API key, but you will see a message telling you that you should add a key and the background image of the map will be missing (you will only see the data points and not the map background). Mapbox provides a free tier if you would like to use it.
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Some of the sample visualizations that the guides have you create use location, for example longitude and latitude, data. Superset includes support for MapBox maps. To use the MapBox visualizations you need a MapBox API key. Sign up for the [MapBox free tier](https://account.mapbox.com/auth/signup/), and generate an API key.
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Some of the sample visualizations that the guides have you create use location, for example longitude and latitude, data. Superset includes support for Mapbox maps. To use the Mapbox visualizations you need a Mapbox API key. Sign up for the [Mapbox free tier](https://account.mapbox.com/auth/signup/), and generate an API key.
|[Admixer](https://admixer.com/)| Media & Entertainment | Ad Analytics | — | — |[Blog Post](https://clickhouse.com/blog/admixer-aggregates-over-1-billion-unique-users-a-day-using-clickhouse)|
|[Ahrefs](https://ahrefs.com/)| SEO | Analytics | Main cluster is 100k+ CPU cores, 800TB RAM. | 110PB nvme storage, uncompressed data size on main cluster is 1EB. |[Job listing](https://ahrefs.com/jobs/data-scientist-search)|
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|[Ahrefs](https://ahrefs.com/)| SEO | Analytics | Main cluster is 100k+ CPU cores, 800TB RAM. | 110PB NVME storage, uncompressed data size on main cluster is 1EB. |[Job listing](https://ahrefs.com/jobs/data-scientist-search)|
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|[Airfold](https://www.airfold.co/)| API platform | Main Product | - | - |[Documentation](https://docs.airfold.co/workspace/pipes)|
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|[Aiven](https://aiven.io/)| Cloud data platform | Managed Service | - | - |[Blog post](https://aiven.io/blog/introduction-to-clickhouse)|
|[AnswerAI](https://www.answerai.co.uk/)| Software & Technology | AI Customer Support | — | — |[Twitter, May 2024](https://twitter.com/TomAnswerAi/status/1791062219678998880)|
|[ApiRoad](https://apiroad.net/)| API marketplace | Analytics | — | — |[Blog post, November 2018, March 2020](https://pixeljets.com/blog/clickhouse-vs-elasticsearch/)|
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|[Apitally](https://apitally.io/)| Software & Technology | API Monitoring | — | — |[Twitter, March 2024](https://twitter.com/simongurcke/status/1766005582971170926)|
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|[Appsflyer](https://www.appsflyer.com)| Mobile analytics | Main product | — | — |[Talk in Russian, July 2019](https://www.youtube.com/watch?v=M3wbRlcpBbY)|
@@ -61,7 +61,7 @@ The following list of companies using ClickHouse and their success stories is as
|[BIGO](https://www.bigo.sg/)| Video | Computing Platform | — | — |[Blog Article, August 2020](https://www.programmersought.com/article/44544895251/)|
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|[Badoo](https://badoo.com)| Dating |Timeseries| — | 1.6 mln events/sec (2018) |[Slides in Russian, December 2019](https://presentations.clickhouse.com/meetup38/forecast.pdf)|
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|[Badoo](https://badoo.com)| Dating |Time series| — | 1.6 mln events/sec (2018) |[Slides in Russian, December 2019](https://presentations.clickhouse.com/meetup38/forecast.pdf)|
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|[Baidu](https://www.baidu.com/)| Internet services | Data warehousing | - | - |[GitHub](https://github.com/ClickHouse/ClickHouse/pull/60361)|
|[Bitquery](https://bitquery.io/)| Software & Technology | Blockchain Data Company | — | — |[HackerNews, December 2020](https://bitquery.io/blog/blockchain-intelligence-system)|
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|[Bitquery](https://bitquery.io/)| Software & Technology | Blockchain Data Company | — | — |[Hacker News, December 2020](https://bitquery.io/blog/blockchain-intelligence-system)|
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|[Bloomberg](https://www.bloomberg.com/)| Finance, Media | Monitoring | — | — |[Meetup Video, December 2022](https://www.youtube.com/watch?v=HmJTIrGyVls&list=PL0Z2YDlm0b3iNDUzpY1S3L_iV4nARda_U&index=9)[Slides, December 2022](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup67/ClickHouse%20for%20Financial%20Analytics%20-%20Bloomberg.pdf)|
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|[Bloxy](https://bloxy.info)| Blockchain | Analytics | — | — |[Slides in Russian, August 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup17/4_bloxy.pptx)|
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@@ -11,7 +11,7 @@ description: Understand what makes ClickHouse stand apart from other database ma
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In a real column-oriented DBMS, no extra data is stored with the values. This means that constant-length values must be supported to avoid storing their length "number" next to the values. For example, a billion UInt8-type values should consume around 1 GB uncompressed, or this strongly affects the CPU use. It is essential to store data compactly (without any "garbage") even when uncompressed since the speed of decompression (CPU usage) depends mainly on the volume of uncompressed data.
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This is in contrast to systems that can store values of different columns separately, but that cannot effectively process analytical queries due to their optimization for other scenarios, such as HBase, BigTable, Cassandra, and HyperTable. You would get throughput around a hundred thousand rows per second in these systems, but not hundreds of millions of rows per second.
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This is in contrast to systems that can store values of different columns separately, but that cannot effectively process analytical queries due to their optimization for other scenarios, such as HBase, Bigtable, Cassandra, and Hypertable. You would get throughput around a hundred thousand rows per second in these systems, but not hundreds of millions of rows per second.
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Finally, ClickHouse is a database management system, not a single database. It allows creating tables and databases in runtime, loading data, and running queries without reconfiguring and restarting the server.
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