Best Data Engineering Tools for ClickHouse

Find and compare the best Data Engineering tools for ClickHouse in 2024

Use the comparison tool below to compare the top Data Engineering tools for ClickHouse on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Peekdata Reviews

    Peekdata

    Peekdata

    $349 per month
    2 Ratings
    It takes only days to wrap any data source with a single reference Data API and simplify access to reporting and analytics data across your teams. Make it easy for application developers and data engineers to access the data from any source in a streamlined manner. - The single schema-less Data API endpoint - Review, configure metrics and dimensions in one place via UI - Data model visualization to make faster decisions - Data Export management scheduling API Our proxy perfectly fits into your current API management ecosystem (versioning, data access, discovery) no matter if you are using Mulesoft, Apigee, Tyk, or your homegrown solution. Leverage the capabilities of Data API and enrich your products with self-service analytics for dashboards, data Exports, or custom report composer for ad-hoc metric querying. Ready-to-use Report Builder and JavaScript components for popular charting libraries (Highcharts, BizCharts, Chart.js, etc.) makes it easy to embed data-rich functionality into your products. Your product or service users will love that because everybody likes to make data-driven decisions! And you will not have to make custom report queries anymore!
  • 2
    RudderStack Reviews

    RudderStack

    RudderStack

    $750/month
    RudderStack is the smart customer information pipeline. You can easily build pipelines that connect your entire customer data stack. Then, make them smarter by pulling data from your data warehouse to trigger enrichment in customer tools for identity sewing and other advanced uses cases. Start building smarter customer data pipelines today.
  • 3
    Latitude Reviews
    Answer questions today, not next week. Latitude makes it easy to create low-code data apps within minutes. You don't need a data stack, but you can help your team answer data-related questions. Connect your data sources to Latitude and you can immediately start exploring your data. Latitude connects with your database, data warehouse, or other tools used by your team. Multiple sources can be used in the same analysis. We support over 100 data sources. Latitude offers a vast array of data sources that can be used by teams to explore and transform data. This includes using our AI SQL Assistant, visual programming, and manually writing SQL queries. Latitude combines data exploration with visualization. You can choose from tables or charts and add them to the canvas you are currently working on. Interactive views are easy to create because your canvas already knows how variables and transformations work together.
  • 4
    Querona Reviews
    We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.
  • 5
    Kestra Reviews
    Kestra is a free, open-source orchestrator based on events that simplifies data operations while improving collaboration between engineers and users. Kestra brings Infrastructure as Code to data pipelines. This allows you to build reliable workflows with confidence. The declarative YAML interface allows anyone who wants to benefit from analytics to participate in the creation of the data pipeline. The UI automatically updates the YAML definition whenever you make changes to a work flow via the UI or an API call. The orchestration logic can be defined in code declaratively, even if certain workflow components are modified.
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