How is Confluent different from Kafka
While both platforms fall under big data technologies, they are classified into different categories. Confluent Kafka falls under the data processing category in the big data. On the other hand, Apache Kafka falls under the data operations category as it is a message queuing system.
What is Confluent and Kafka
At the core of Confluent Platform is Apache Kafka, the most popular open source distributed streaming platform. The key capabilities of Kafka are: Publish and subscribe to streams of records. Store streams of records in a fault tolerant way. Process streams of records.
Who is confluent Kafka competitor
Top Alternatives to ConfluentDatabricks.Kafka.RabbitMQ.Amazon SQS.Celery.ActiveMQ.MQTT.Kafka Streams.
What are the disadvantages of confluent Kafka
Limitations of Confluent KafkaOut-of-band configuration. Out-of-band configuration modifications are not supported.Scaling. To prevent accidental data loss, the service does not support reducing the number of pods.Disk changes.Best-effort installation.Virtual networks.Task Environment Variables.Zones.Regions.
Why do we need confluent
Confluent Cloud provides a complete set of tools to build and launch apps faster while meeting security and compliance requirements. These include, private networking, Bring-Your-Own-Key (BYOK) encryption, SSO authentication support, OAuth support, Role-Based-Access-Controls (RBAC) and many more.
Is Confluent Kafka or Kafka Python
Both PyKafka and confluent-kafka have mature implementations and are maintained by invested companies. Confluent-kafka is generally faster while PyKafka is arguably better designed and documented for Python usability. Conda packages are now available for both.
Is confluent an ETL tool
Confluent enables simple, modern streaming data pipelines and integration — the E and L in ETL — through pre-built data connectors.
What is better than Kafka
IBM MQ is one of the best Kafka Alternatives which has an easy-to-use Interface and High Reliability and Data Security. It also facilitates the interoperability between various applications, either within or outside the organization.
Why not to use Kafka
It requires that you build a complex pipeline of interactions between producers and consumers and then maintain the entire system. This requires substantial work and effort and adds complexity. It's best to avoid using Kafka as the processing engine for ETL jobs, especially where real-time processing is needed.
Why not use Kafka as database
In summary, Kafka has database-like properties such as durability, consistency, and infinite retention. However, it works differently than other databases, and it's not a great choice for a fast key/value lookup or ad hoc queries.
Is Confluent an ETL tool
Confluent enables simple, modern streaming data pipelines and integration — the E and L in ETL — through pre-built data connectors.
Can I use Confluent for free
Get started with Confluent, for free
Confluent makes it easy to connect your apps, systems, and entire organization with real-time data flows and processing. We provide a solution for data in motion that is cloud native, complete, and available everywhere you need it.
Is Kafka same as MQ
Apache Kafka scales well and may track events but lacks some message simplification and granular security features. It is perhaps an excellent choice for teams that emphasize performance and efficiency. IBM MQ is a powerful conventional message queue system, but Apache Kafka is faster.
Is Kafka written in Python
As per the definition from Wikipedia: Apache Kafka is an open-source platform developed by the Apache Software Foundation used for processing streams. It is written in Java and Scala.
Is Kafka a ETL tool
Kafka is a great choice for doing ETL (extract-transform-load): Connect provides the E and the L, Streams the T, and Kafka itself provides a storage buffer that provides scalability, resiliency, and replayability of the process.
What is the difference between Kafka and ETL
Streaming ETL is often used for applications that require real-time data, such as fraud detection, streaming analytics, and real-time payment processing. Kafka data is by definition streaming and ephemeral, but it can still be stored and processed in batches.
Why Kafka is better than REST API
With Kafka API, you often are not interested in a response. You are typically expecting a response back when using REST APIs. It provides bidirectional communication. The REST API is unidirectional, i.e., you can only send or receive a response at a time.
Why does Netflix use Kafka
Kafka acts as a bridge for all point-to-point and Netflix Studio wide communications. It provides us with the high durability and linearly scalable, multi-tenant architecture required for operating systems at Netflix.
Why use Kafka instead of REST API
With Kafka API, you often are not interested in a response. You are typically expecting a response back when using REST APIs. It provides bidirectional communication. The REST API is unidirectional, i.e., you can only send or receive a response at a time.
Can Kafka replace a database
In general, no. Kafka is not a replacement for existing databases like MySQL, MongoDB, Elasticsearch, or Hadoop. But you may not need another data store in addition to Kafka. Each database has specific features, guarantees, and query options.
Is Confluent Kafka free or paid
free
Is Confluent Kafka free The Confluent Kafka Platform is free to download and use under the Confluent Community License.
Can I use Kafka for free
Cloud services can have a wide price range. Apache Kafka® is free, and Confluent Cloud is very cheap for small use cases, about $1 a month to produce, store, and consume a GB of data.
Can Kafka replace MQ
While teams use Apache Kafka and ActiveMQ interchangeably, they are actually complementary technologies. Their differences in message management, throughput, and performance can help you determine the right solution (which might be both).
Is MQ better than Kafka
IBM MQ is a powerful conventional message queue system, but Apache Kafka is faster. Users should anticipate that messages in IBM MQ will take longer to finish and that utilizing it to log events will be more challenging.
What is equivalent of Kafka in Python
Faust is a stream processing library, porting the ideas from Kafka Streams to Python.
