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Learn MorePros of AWS Clean Rooms
Pros of Kafka
Pros of AWS Clean Rooms
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Pros of Kafka
- High-throughput126
- Distributed119
- Scalable92
- High-Performance86
- Durable66
- Publish-Subscribe38
- Simple-to-use19
- Open source18
- Written in Scala and java. Runs on JVM12
- Message broker + Streaming system9
- KSQL4
- Avro schema integration4
- Robust4
- Suport Multiple clients3
- Extremely good parallelism constructs2
- Partioned, replayable log2
- Simple publisher / multi-subscriber model1
- Fun1
- Flexible1
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Cons of AWS Clean Rooms
Cons of Kafka
Cons of AWS Clean Rooms
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Cons of Kafka
- Non-Java clients are second-class citizens32
- Needs Zookeeper29
- Operational difficulties9
- Terrible Packaging5
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What is AWS Clean Rooms?
It is a fully managed analytics service that helps customers collaborate with their partners without sharing or copying one another’s raw data. Companies can create a clean room in minutes, removing the need to build, manage, or maintain their own solutions or move data outside of AWS.
What is Kafka?
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
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What companies use AWS Clean Rooms?
What companies use Kafka?
What companies use AWS Clean Rooms?
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What companies use Kafka?
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What tools integrate with AWS Clean Rooms?
What tools integrate with Kafka?
What tools integrate with AWS Clean Rooms?
What tools integrate with Kafka?
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What are some alternatives to AWS Clean Rooms and Kafka?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web