Best Real-Time Data Streaming Tools for Apache Hive

Apache Doris is an advanced data warehouse for real time analytics. It delivers lightning fast analytics on real-time, large-scale data. Ingestion of micro-batch data and streaming data within a second. Storage engine with upserts, appends and pre-aggregations in real-time. Optimize for high-concurrency, high-throughput queries using columnar storage engine, cost-based query optimizer, and vectorized execution engine. Federated querying for data lakes like Hive, Iceberg, and Hudi and databases like MySQL and PostgreSQL. Compound data types, such as Arrays, Maps and JSON. Variant data types to support auto datatype inference for JSON data. NGram bloomfilter for text search. Distributed design for linear scaling. Workload isolation, tiered storage and efficient resource management. Supports shared-nothing as well as the separation of storage from compute.

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.