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    Is Observability Worth the Cost?

    Observability can be expensive for data at scale, so how do you ensure it’s worth it for large distributed systems?

    Published:

    Apr 22, 2024

    6 minute read
  • Hydrolix Named Cloud Enterprise Data Warehouse Solution of the Year

    Product

    Hydrolix named Data Breakthrough’s Cloud EDW Solution of the Year for delivering cost-effective, real-time performance at terabyte scale.

    Franz Knupfer

    |

    Apr 11, 2024

    2 minute read
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  • Maximizing Query Performance for 100+ Billion Row Data Sets

    Engineering
    Product

    Learn how Hydrolix delivers sub-second query latency across massive data sets with micro-indexing, predicate pushdown, and parallelism.

    Franz Knupfer

    |

    Feb 13, 2024

    8 minute read
    READ MORE
  • Reduce Your Cloud Spend with Precision Query Scaling

    Best Practices
    Product
    Use Cases

    Learn about precision query scaling, a feature unique to Hydrolix that allows you to scale compute resources for each query workload.

    Franz Knupfer

    |

    Feb 7, 2024

    9 minute read
    READ MORE
  • Do High Storage Costs Put Success of Splunk Acquisition at Risk?

    Product

    2023 was a big year for observability acquisitions—but storage costs too much for big data, including AI training use cases.

    |

    Jan 8, 2024

    2 minute read
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  • Real-Time User Device Analytics With Hydrolix and ScientiaMobile

    Product
    Use Cases

    Get user device analytics in real-time with Hydrolix and ScientiaMobile to deliver a premium over-the-top video experience to your customers.

    Franz Knupfer

    |

    Dec 6, 2023

    4 minute read
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  • Power Your Observability Platform With Hydrolix

    Product
    Use Cases

    Learn how Hydrolix can power your observability platform to increase your margins, reduce customer costs, and manage data at terabyte scale.

    |

    Nov 28, 2023

    3 minute read
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  • Transform Your Data With Hydrolix

    Engineering
    Product

    Learn how to write transforms that give you maximum flexibility for processing, enriching, and standardizing your log data.

    Franz Knupfer

    |

    Sep 25, 2023

    7 minute read
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  • Analyze your Hydrolix Data with Apache Spark

    Engineering
    Product

    Learn how to use the Hydrolix Spark Connector with Databricks to analyze your log data with Apache Spark tools like GraphX and MLLib.

    Alex Cruise

    |

    Sep 11, 2023

    5 minute read
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  • Summary Tables Simplified

    Best Practices
    Engineering
    Product

    The latest version of Hydrolix Summary Tables significantly reduces the complexity of writing SQL aggregates while preserving the efficiency of querying summary tables. A common…

    Dan Sullivan

    |

    Apr 20, 2023

    3 minute read
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