3 repositorios
Mechanisms for the continuous, live import of data from external brokers and databases.
Distinct from Data Import: Distinct from bulk data import or migration; it focuses on the continuous 'live' flow of data.
Explore 3 awesome GitHub repositories matching data & databases · Continuous Data Imports. Refine with filters or upvote what's useful.
RisingWave is a cloud-native streaming database and real-time analytics engine that uses standard SQL to process continuous data streams. It functions as a streaming data lakehouse, combining the capabilities of a streaming SQL database with a platform that integrates streaming ingestion with open table formats. The system is distinguished by its use of the PostgreSQL wire protocol, allowing it to integrate with existing SQL tools and drivers. It employs a decoupled compute and storage architecture, persisting streaming state and materialized views in cloud object storage to enable independen
Connects to external message brokers and databases to continuously import live data.
Apache Hive is a SQL-on-Hadoop data warehouse that enables querying and managing petabytes of data stored in distributed storage such as HDFS and cloud storage services. It provides a familiar SQL interface for batch analytics and reporting, supported by a core set of components including the HiveServer2 Thrift service for remote query execution, the Hive Metastore Service for central metadata management, the Hive ACID Transaction Engine for concurrent read-write operations, and the Hive LLAP Interactive Engine for low-latency analytical processing. The WebHCat REST API offers an HTTP interfac
Streams small batches of records into an existing Hive partition or table, making them immediately visible to subsequent queries.
The platform is a distributed system designed for real-time data monitoring, continuous graph-based query processing, and reactive event automation. It functions as a middleware solution that tracks state changes in external databases and systems, evaluating these streams against graph patterns to identify significant events and state transitions without the need for manual polling. The platform distinguishes itself through its ability to synchronize state updates across distributed environments, including real-time updates to vector databases for AI applications. It utilizes a pluggable conn
Provides a distributed platform for monitoring external data sources and executing reactive logic based on continuous graph queries.