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Category: Integration

  • QuaerisAI Now Connects to ClickHouse

    QuaerisAI Now Connects to ClickHouse

    Real-time data is becoming central to how modern teams operate. Marketing teams need to understand campaign movement. Finance teams need to review usage and metering data. Risk and operations teams need to investigate unusual activity. Product teams want to bring analytics closer to customers. 

    ClickHouse gives teams a high-performance foundation for querying large volumes of fast-moving data. 

    QuaerisAI adds the governed question layer on top. 

    With the ClickHouse integration, business users can ask questions in plain English and receive answers that stay connected to certified definitions, source data, and governance controls. The goal is to make real-time data easier to access, explain, and trust across the business. 

    For many organizations, the challenge is not that the data does not exist. The challenge is that access to that data often depends on SQL, dashboards, or data team support. 

    A marketer may want to know which campaigns underperformed this week. A finance user may need to review usage data behind billing. A risk team may want to investigate unusual patterns. An executive may need a current answer for a board discussion. 

    These questions should not always require a new dashboard or a manual reporting request. 

    QuaerisAI helps close that gap by translating plain-English questions into governed queries that run against ClickHouse. Answers are mapped through QuaerisAI’s semantic layer, so teams can work from consistent definitions instead of recreating metric logic for every request. 

    That governance layer matters. 

    Natural-language analytics can make data easier to access, but enterprise teams also need control over how answers are produced. Metrics need to be defined consistently. Answers need to remain traceable to source. Business users need confidence that the number they are using has the right context behind it. 

    The QuaerisAI and ClickHouse integration is designed for teams that need both speed and trust. 

    ClickHouse supports the real-time analytics layer for high-volume data. QuaerisAI helps business users ask questions, understand answers, and trace results back to certified definitions and source data. 

    This combination can support use cases across real-time marketing analytics, usage-based pricing and metering, anomaly investigation, embedded customer-facing analytics, and executive reporting. 

    For ClickHouse customers, QuaerisAI expands the way real-time data can be used across the business. More teams can ask questions directly. Data teams can reduce repetitive reporting requests. Business users can move from raw event data to governed answers with less friction. 

    Real-time analytics becomes more useful when it is accessible to the teams making decisions every day. 

    With QuaerisAI on top of ClickHouse, fast-moving data can become trusted business answers. 

  • Why QuaerisAI’s DuckDB integration changes how fast a question gets answered

    Why QuaerisAI’s DuckDB integration changes how fast a question gets answered

     

    Vertical, columnar databases like DuckDB have quietly become one of the fastest ways to run analytical queries. That speed is real, and it’s exactly why QuaerisAI has built a DuckDB integration into its architecture. But a fast database only matters if something on top of it can actually turn that speed into an answer.

    This is where organizations lose the benefit before they ever get to use it. Plugging a fast engine like DuckDB into an old-generation BI tool such as Tableau or Power BI, or into an older architecture like Sisense, does not make those tools faster in the way that matters to a business user. Those platforms are dashboard-first: reports get modeled and published in advance, so a new question still waits on a build cycle, no matter how fast the database underneath can respond. The bottleneck was never the storage engine. It was everything sitting between the data and the person asking the question.

    That gap is exactly what a consumption layer is supposed to close, and it’s why QuaerisAI is built as one rather than as another dashboard tool. A vertical database like DuckDB is fast at the compute layer. QuaerisAI is fast at the layer where a person actually asks something, turning a plain-English question into a governed query, grounded in certified metrics, with source citations and full lineage, without waiting on a new report to be built. Pairing the two means the speed DuckDB delivers underneath doesn’t get absorbed by a slow interface on top of it.

    The practical result is a shorter distance between asking a question and trusting the answer. QuaerisAI’s DuckDB integration is built to carry that speed all the way through to the business user, with role-based access enforced at the moment of the query and an audit trail on every answer. 

    Talk to us to see how a performant consumption layer changes what a fast database can actually do for your team.