4h ago · 7 min read · Lambda Architecture maintains two separate pipelines — a batch layer for accuracy and a stream layer for speed — which doubles operational complexity and often produces inconsistent results between layers. RisingWave with Apache Iceberg replaces both...
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4h ago · 7 min read · In RisingWave v2.8+, you can query Apache Iceberg tables directly using streaming SQL by registering them as sources. This enables lakehouse-style queries — joining Iceberg tables with live Kafka streams, reading historical snapshots, and building ma...
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4h ago · 7 min read · RisingWave enables real-time analytics on Apache Iceberg tables by continuously ingesting data from Kafka and databases into Iceberg via streaming sinks, and — in v2.8+ — directly querying Iceberg tables as sources. This means your dashboards and app...
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4h ago · 7 min read · To stream CDC data to Apache Iceberg with RisingWave: connect RisingWave's built-in Postgres CDC or MySQL CDC connector to your source database, create a materialized view to shape the data, and define an Iceberg sink with type = 'upsert'. RisingWave...
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4h ago · 7 min read · A medallion architecture with RisingWave and Iceberg uses three tiers: Bronze (raw data landed in Iceberg via RisingWave sinks), Silver (cleaned and joined data in Iceberg, computed by RisingWave materialized views), and Gold (business-ready aggregat...
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4h ago · 6 min read · A real-time data lakehouse with RisingWave and Apache Iceberg on S3 gives you sub-minute data freshness, full SQL analytics, and object storage costs — without a proprietary data warehouse. RisingWave streams data continuously into Iceberg tables on ...
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4h ago · 6 min read · To sink Kafka streams to Apache Iceberg with RisingWave: create a Kafka source, build a materialized view to transform or aggregate the data, then create an Iceberg sink pointing to your catalog and table. RisingWave handles continuous writes automat...
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4h ago · 6 min read · A streaming lakehouse combines real-time stream processing with open-format data lake storage. RisingWave handles the streaming SQL layer — ingesting from Kafka and databases, applying continuous transformations — while Apache Iceberg provides ACID-c...
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4h ago · 6 min read · Apache Iceberg is an open table format for large analytic datasets. It brings ACID transactions, schema evolution, time travel, and partition evolution to data lakes stored on object storage like S3, GCS, or ADLS — enabling reliable, high-performance...
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4h ago · 5 min read · A streaming data warehouse built on RisingWave and Apache Iceberg combines the freshness of a real-time pipeline with the analytical depth of a traditional data warehouse—without the cost of either a dedicated streaming engine or a commercial warehou...
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