What is Venice?
It is a derived data storage platform for planet-scale workloads. It is a high-throughput, low-latency, highly-available, horizontally-scalable, eventually-consistent storage system with first-class support for ingesting the output of batch and stream processing jobs.
Venice is a tool in the Databases category of a tech stack.
Key Features
High throughput asynchronous ingestion from batch and streaming sources (e.g. Hadoop and Samza)Low latency online reads via remote queries or in-process cachingActive-active replication between regions with CRDT-based conflict resolutionMulti-cluster support within each region with operator-driven cluster assignmentMulti-tenancy, horizontal scalability and elasticity within each cluster
Venice Pros & Cons
Pros of Venice
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Cons of Venice
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Venice Alternatives & Comparisons
What are some alternatives to Venice?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
