Best Real-Time Analytic Databases for Apache Airflow
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Compare the Top Real-Time Analytic Databases that integrate with Apache Airflow as of June 2025
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This a list of Real-Time Analytic Databases that integrate with Apache Airflow. Use the filters on the left to add additional filters for products that have integrations with Apache Airflow. View the products that work with Apache Airflow in the table below.
What are Real-Time Analytic Databases for Apache Airflow?
Real-time analytics databases are database systems that enable businesses to access and analyze data in near real-time. These systems allow companies to make decisions quickly based on up-to-date information, rather than relying on periodic reports from other databases. Real-time analytic databases typically have powerful processors capable of handling complex queries and vast amounts of data. They also support modern features such as distributed computing, automated data management, secure sharing of sensitive information, and elastic scalability. Such advanced capabilities help organizations gain deeper insights into their customers' behavior so they can take appropriate action swiftly. Compare and read user reviews of the best Real-Time Analytic Databases for Apache Airflow currently available using the table below. This list is updated regularly.
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Oxla
Oxla
Purpose-built for compute, memory, and storage efficiency, Oxla is a self-hosted data warehouse optimized for large-scale, low-latency analytics with robust time-series support. Cloud data warehouses aren’t for everyone. At scale, long-term cloud compute costs outweigh short-term infrastructure savings, and regulated industries require full control over data beyond VPC and BYOC deployments. Oxla outperforms both legacy and cloud warehouses through efficiency, enabling scale for growing datasets with predictable costs, on-prem or in any cloud. Easily deploy, run, and maintain Oxla with Docker and YAML to power diverse workloads in a single, self-hosted data warehouse.Starting Price: $50 per CPU core / monthly -
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DoubleCloud
DoubleCloud
Save time & costs by streamlining data pipelines with zero-maintenance open source solutions. From ingestion to visualization, all are integrated, fully managed, and highly reliable, so your engineers will love working with data. You choose whether to use any of DoubleCloud’s managed open source services or leverage the full power of the platform, including data storage, orchestration, ELT, and real-time visualization. We provide leading open source services like ClickHouse, Kafka, and Airflow, with deployment on Amazon Web Services or Google Cloud. Our no-code ELT tool allows real-time data syncing between systems, fast, serverless, and seamlessly integrated with your existing infrastructure. With our managed open-source data visualization you can simply visualize your data in real time by building charts and dashboards. We’ve designed our platform to make the day-to-day life of engineers more convenient.Starting Price: $0.024 per 1 GB per month -
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Apache Druid
Druid
Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures.
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