A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.
Data integration refers to the process of combining data from different sources into a unified, coherent view, enabling seamless data flow across heterogeneous systems. It encompasses techniques such as ETL/ELT pipelines, data virtualization, API-based integration, and change data capture (CDC). Data integration platforms help organizations break down data silos, ensuring consistent and reliable data for analytics, reporting, and business intelligence. Representative tools include Apache NiFi, Talend, Informatica, Fivetran, and Airbyte.
Apache DolphinScheduler is an open-source distributed workflow orchestration platform with visual DAG interfaces for managing complex data tasks.
An open-source data synchronization tool for MySQL binlog, enabling real-time data capture and replication.
Apache Spark is a unified engine for large-scale data analytics, supporting batch and streaming processing, SQL queries, and machine learning across multiple languages.
Apache Storm is a free, open-source distributed realtime computation system for processing unbounded data streams, scalable and fault-tolerant.
FlinkX, renamed to chunjun, is an open-source big data integration tool based on Flink, designed for efficient data synchronization and processing.
Apache Sqoop 是一款用于在 Hadoop 和关系数据库之间高效传输批量数据的工具,现已退役。
Apache Flink is a distributed processing engine for stateful computations over data streams, designed for high performance and scalability in all cluster environments.
Apache Tez is an application framework for building complex directed-acyclic-graph tasks for data processing, built on Apache Hadoop YARN.
Sqoop 是一个用于在关系型数据库和 Hadoop HDFS 之间高效传输批量数据的工具,专为大数据工作流设计。
MinIO AIStor is an exascale object store for AI, offering S3 compatibility, high performance, and enterprise-grade reliability for data-intensive workloads.
A fully-managed data streaming platform based on Apache Kafka, offering elastic scaling, enterprise security, stream processing, and governance for real-time data pipelines.
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