Best Data Integration Tools for ClickHouse

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

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

  • 1
    Airbyte Reviews

    Airbyte

    Airbyte

    $2.50 per credit
    All your ELT data pipelines, including custom ones, will be up and running in minutes. Your team can focus on innovation and insights. Unify all your data integration pipelines with one open-source ELT platform. Airbyte can meet all the connector needs of your data team, no matter how complex or large they may be. Airbyte is a data integration platform that scales to meet your high-volume or custom needs. From large databases to the long tail API sources. Airbyte offers a long list of connectors with high quality that can adapt to API and schema changes. It is possible to unify all native and custom ELT. Our connector development kit allows you to quickly edit and create new connectors from pre-built open-source ones. Transparent and scalable pricing. Finally, transparent and predictable pricing that scales with data needs. No need to worry about volume. No need to create custom systems for your internal scripts or database replication.
  • 2
    Peaka Reviews

    Peaka

    Peaka

    $1 per month
    Integrate your data sources including relational and NoSQL database, SaaS and APIs. You can query them immediately as a single source of data. Process data wherever you are. Data from different sources can be merged, retrieved, and cached. Use webhooks for streaming data from Kafka or Segment into the Peaka Table. Real-time data access replaces nightly batch ingestion. Treat each data source as a relational database. Convert any API into a table and combine and join it with other data sources. Use familiar SQL to run queries on NoSQL databases. The same skills can be used to retrieve data from SQL and NoSQL database. You can query and filter your consolidated datasets to create new data sets. Use APIs to expose them and serve other apps or systems. Don't get bogged down with scripts and logs when setting up your data stack. Eliminate the burdens of managing and maintaining ETL pipelines.
  • 3
    TapData Reviews
    CDC-based live-data platform for heterogeneous data replication, real-time integration, or building a data warehouse in real-time. TapData used CDC to sync data from the production line stored in DB2 or Oracle to the modern database. This enabled AI-augmented real time dispatch software to optimize semiconductor production line processes. Real-time data enabled instant decision-making within the RTD software, resulting in faster turnaround times and increased yield. Customer, as one of the largest telcos in the world, has many regional systems to cater to local customers. Customers were able build an order center by syncing data from different sources and locations and aggregating it into a central data store. TapData integrates inventory data across 500+ stores to provide real-time insights on stock levels and customer preferences. This enhances supply chain efficiency.
  • 4
    Timbr.ai Reviews
    The smart semantic layer unifies metrics and speeds up the delivery of data products by 90% with shorter SQL queries. Model data using business terms for a common meaning and to align business metrics. Define semantic relationships to replace JOINs, making queries much easier. Hierarchies and classifications can help you better understand data. Automatically map data into the semantic model. Join multiple data sources using a powerful SQL engine distributed to query data at a large scale. Consume data in the form of a semantically connected graph. Materialized views and an intelligent cache engine can boost performance and reduce compute costs. Advanced query optimizations are available. Connect to any file format, cloud, datalake, data warehouse, or database. Timbr allows you to work seamlessly with your data sources. Timbr optimizes a query and pushes it to the backend when a query is executed.
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