Why Kafka is better than database?

Kafka is definitely at its best as short-term storage from which other systems (including long-term storage databases) can retrieve data in a robust, ACID-compliant way. Durability: Kafka writes data to disk and replicates it (to multiple brokers), which is precisely what any database worth its salt does.

Why Kafka writes are fast?

Compression & Batching of Data: Kafka batches the data into chunks which helps in reducing the network calls and converting most of the random writes to sequential ones. It’s more efficient to compress a batch of data as compared to compressing individual messages.

Should I use Kafka as a database?

The main idea behind Kafka is to continuously process streaming data; with additional options to query stored data. Kafka is good enough as a database for some use cases. However, the query capabilities of Kafka are not good enough for some other use cases.

What is Kafka not good for?

When Not To Use Kafka Kafka is overkill when you need to process only a small amount of messages per day (up to several thousand). Kafka is designed to cope with the high load. Use traditional message queues like RabbitMQ when you don’t have a lot of data.

Is Kafka no SQL?

Developers describe Kafka as a “Distributed, fault-tolerant, high throughput, pub-sub, messaging system.” Kafka is well-known as a partitioned, distributed, and replicated commit log service. It also provides the functionality of a messaging system, but with a unique design.

Why is Kafka slow?

Kafka Consumers If there are way too many producers writing data to the same topic when there are a limited number of consumers then then the reading processes will always be slow. It is common for consumer groups to have equal numbers of consumers as partitions, since they are doing low-latency operations.

Why Kafka is so fast Emil?

Kafka relies on the filesystem for the storage and caching. The problem is disks are slower than RAM. This is because the seek-time through a disk is large compared to the time required for actually reading the data. But if you can avoid seeking, then you can achieve latencies as low as RAM in some cases.

What is Kafka SQL?

Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafka®. It provides an easy-to-use, yet powerful interactive SQL interface for stream processing on Kafka, without the need to write code in a programming language such as Java or Python.

Is Kafka a database or a database?

TL;DR: Kafka is a database and provides ACID guarantees. However, it works differently than other databases. Kafka is also not replacing other databases. Rather, it’s a complementary tool in your…

What is the use of Kafka?

Kafka is a database, providing ACID guarantees. But, it works differently than other databases and doesn’t replace them. It’s a complementary tool.

What is the difference between Apache Kafka and Apache Kafka rest?

Kafka – Publish once – Subscribe n times (by n components). REST – Request once, get the response once. Deal over. Kafka – Data is stored in topic. Seek back & forth ( offsets) whenever you want till the topic is retained. REST – Once the response is over, it is over. Manually employ a database to store the processed data.

Is it better to use rest or Kafka for streaming?

If the user requests for something and they wait for a response, then REST is best. Kafka (or any other streaming platform) is typically used for pipelines i.e where we have forward flow of data. Data comes to Kafka and from there it goes through component1, component2 and so on and finally ( typically) lands in a database.