Striim

AUGUST 26, 2023

While Confluent is a well-known option for data streaming platforms, its complexity can pose significant challenges for businesses. If you’re in the market for more user-friendly or more cost effective Confluent Alternatives, the list below is designed with you in mind.

MongoDB 52

MongoDB Google Cloud Kafka AWS 52

Confluent

NOVEMBER 9, 2020

The rise of the cloud introduced a focus on rapid iteration and agility that is founded on specialization. If you are an application developer, you know your applications better than […].

Cloud 52

Cloud Project 52

Rockset

MARCH 26, 2023

To do this, Rockset has partnered with Confluent, the original creators of Kafka who provide the cloud-native data streaming platform Confluent Cloud. In the interest of full disclosure, it’s worth mentioning that I am a former Confluent employee, now working at Rockset.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Christophe Blefari

JANUARY 14, 2023

I'm still on their Discord and when dbt finally announced Python models support I was a bit sceptical about fal offering the same thing. How we cut our Databricks costs by 50% — We can always find optimization in our cloud setup to save costs. With this release you can really mix Python and SQL code. XetHub raises $7.5m

Python 130

Python Kafka Data Scala 130

Confluent

JULY 28, 2021

At Confluent, we focus on the holy trinity of performance, price, and availability, with the goal of delivering a similar performance envelope for all workloads across all supported cloud providers. […].

Cloud 120

Cloud Kafka Architecture 120

Confluent

FEBRUARY 18, 2020

Less than six months ago, we announced support for Microsoft Azure in Confluent Cloud, which allows developers using Azure as a public cloud to build event streaming applications with Apache […].

Cloud 145

Cloud Kafka Building Programming 145

The Pragmatic Engineer

OCTOBER 31, 2023

In this article, we cover three out of seven topics from today’s subscriber-only issue Three Cloud Providers, Three Outages: Three Different Responses. It’s rare that all three major cloud providers suffer regional outages, but that’s exactly what happened between April and July: 25 April 2023: GCP.

AWS 213

AWS Google Cloud Cloud Food 213

Snowflake

MARCH 2, 2023

As part of this, we are also supporting Snowpipe Streaming as an ingestion method for our Snowflake Connector for Kafka. Rather than streaming data from source into cloud object stores then copying it to Snowflake, data is ingested directly into a Snowflake table to reduce architectural complexity and reduce end-to-end latency.

Kafka 119

Kafka Data Ingestion Data Pipeline Cloud Storage 119

Monte Carlo

NOVEMBER 8, 2023

From new cost optimization tools to support for the AI stack, read on to find out everything that was announced at IMPACT 2023. Apache Kafka Apache Kafka is undoubtedly one of the most popular open-source stream-processing platforms—delivering high-throughput, low-latency, and real-time data feeds for cloud-based data and AI products.

Kafka 64

Kafka Database High Quality Data Datasets 64

Confluent

APRIL 9, 2019

I’m excited to announce that we’re partnering with Google Cloud to make Confluent Cloud, our fully managed offering of Apache Kafka ® , available as a native offering on Google Cloud Platform (GCP). Unfortunately, the experience of using managed open source offerings in the cloud is often poor.

Google Cloud 100

Google Cloud Kafka Cloud MongoDB 100

Data Engineering Podcast

MARCH 2, 2020

In this episode Michael Drogalis, product manager for ksqlDB at Confluent, explains how the system is implemented, how you can use it for building your own stream processing applications, and how it fits into the lifecycle of your data infrastructure. And don’t forget to thank them for their continued support of this show!

Kafka 100

Kafka Process PostgreSQL MySQL 100

Confluent

APRIL 23, 2019

At Confluent, we have an engineering team dedicated to the development of these Kafka clients. Over time Confluent Platform has started providing Kafka clients for the most popular languages, including: C/C++. You can run them with an on-prem cluster, or you can use the fully managed services in Confluent Cloud.

Programming Language 101

Programming Language Kafka Programming Scala 101

Rockset

AUGUST 16, 2022

Or perhaps you are looking for something to support a Data Mesh initiative because that’s all the rage right now. Real quick disclaimer, I currently work at Rockset but previously worked at Confluent, a company known for building Kafka based platforms and cloud services. Let’s find out!

Kafka 52

Kafka AWS Cloud Java 52

Confluent

MAY 13, 2019

In the last year, we’ve experienced enormous growth on Confluent Cloud, our fully managed Apache Kafka ® service. Confluent Cloud now handles several GB/s of traffic—a 200-fold increase in just six months. In the cloud, clusters become a mere detail of the plumbing, an abstraction that we should not have to think about.

Kafka 100

Kafka Cloud Management Building 100

Data Engineering Podcast

AUGUST 21, 2022

And don’t forget to thank them for their continued support of this show! The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. And don’t forget to thank them for their continued support of this show! That’s where our friends at Ascend.io

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

Picnic Engineering

SEPTEMBER 8, 2022

In the “Picnic Analytics Platform: Migration from AWS Kinesis to Confluent Cloud” we described why and how we migrated from AWS Kinesis to Confluent Cloud. Our pipeline captures these events and sends them to Confluent Cloud. We continue our story on the Analytics Platform setup in Picnic.

Kafka 52

Kafka Metadata AWS Java 52

Confluent

JUNE 12, 2019

Confluent Cloud, a fully managed event cloud-native streaming service that extends the value of Apache Kafka ® , is simple, resilient, secure, and performant, allowing you to focus on what is important—building contextual event-driven applications, not infrastructure. Helm Chart configuration for Confluent Cloud.

Cloud 93

Cloud Kafka Healthcare Software Engineer 93

Data Engineering Podcast

JULY 10, 2022

And don’t forget to thank them for their continued support of this show! Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. And don’t forget to thank them for their continued support of this show!

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Rockset

APRIL 26, 2023

An insurance company sets thresholds for various types of support tickets, identifying issues with services or products before they affect revenue. This architecture has a few key components: Streaming data : Streaming data is generated by website activity and transported to Rockset via Confluent Cloud.

Architecture 52

Architecture Transportation Data Lake Insurance 52

Confluent

APRIL 18, 2019

And Confluent Cloud and Apache Kafka ® are at the center of this transformation. So working with Confluent Cloud and the Kafka experts was an obvious choice,” says Stefan Frehse, Software Architect, Digitalization, for food processing machinery company BAADER. In fact, IoT is reshaping entire industries.

Food 83

Food Cloud Retail Kafka 83

Confluent

MAY 20, 2020

Confluent Cloud supports Schema Registry as a fully managed service that allows you to easily manage schemas used across topics, with Apache Kafka® as a central nervous system that connects […].

Cloud 86

Cloud Kafka Systems Management 86

Monte Carlo

FEBRUARY 20, 2024

Consideration What to Look For Integration Capabilities Support for a diverse array of data sources and destinations, ensuring compatibility with your data ecosystem. Ease of Use Look for intuitive interfaces and good documentation to minimize onboarding time and technical support needs.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Confluent

OCTOBER 14, 2020

With the release of Confluent Platform 6.0, At launch, we supported two major cloud-specific object stores: Amazon S3 and Google Cloud Storage. we officially made Tiered Storage generally available. Today, […].

Cloud 70

Cloud Google Cloud Cloud Storage Programming 70

Rockset

SEPTEMBER 14, 2021

We’re introducing a new Rockset Integration for Apache Kafka that offers native support for Confluent Cloud and Apache Kafka, making it simpler and faster to ingest streaming data for real-time analytics. For the first version of this release, we are only supporting JSON data (stay tuned for Avro!).

Kafka 52

Kafka SQL MongoDB Computer Science 52

Christophe Blefari

JANUARY 7, 2023

Data Teams as support teams — Chad from Zendesk thinks that data teams are often misaligned with customers and because of the supportive nature of the relationship between something does not work. They had obviously been challenged by the cloud vendors and the modern data stack vision that does not include them.

Data Science 130

Data Science Data BI Kafka 130

Confluent

JUNE 27, 2019

Confluent’s clients for Apache Kafka ® recently passed a major milestone—the release of version 1.0. Magnus Edenhill first started developing librdkafka about seven years ago, later joining Confluent in the very early days to help foster the community of Kafka users outside the Java ecosystem. Leading up to the 1.0 Serialization.

Kafka 106

Kafka Designing Java Coding 106

Confluent

APRIL 6, 2021

We’re happy to announce that Confluent Cloud, our cloud-native service for Apache Kafka®, now supports Azure Private Link for secure network connectivity, in addition to the existing Azure Virtual Network […].

Kafka 52

Kafka Cloud 52

Rockset

APRIL 26, 2022

Confluent made it easy for everyone to use streaming data in their data stack by launching Confluent Cloud. Technologies like Confluent will become the backbone of enterprise architecture and every data source can be and will be converted into a data streaming source, allowing real-time consumption of data for analytics.

Kafka 52

Kafka Data Warehouse Database Data 52

Rockset

AUGUST 28, 2023

We founded Rockset to empower everyone from Fortune 500 to a five-person startup to build powerful search and AI applications and scale them efficiently in the cloud. The ability to scale apps efficiently in the cloud is what is going to allow enterprises to continue to leverage AI. We obsess about efficiency in the cloud.

Metadata 78

Metadata Unstructured Data SQL Database 78

Rockset

MAY 3, 2023

To find out, we decided to test the streaming ingestion performance of Rockset’s next generation cloud architecture and compare it to open-source search engine Elasticsearch , a popular sink for Apache Kafka. We selected Elastic Elasticsearch on Azure as it is a cloud that offers Intel Ice Lake processors. How did we do it?:

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Snowflake

AUGUST 16, 2023

The Snowflake Native App Framework remains available in private preview on Google Cloud Platform and Azure. Better replication and schematization for streaming ingestion – public preview With this release, we are adding the support of Snowpipe Streaming with Snowflake replication. Learn more here. Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

Picnic Engineering

MARCH 28, 2023

After the initial phase of running Debezium with JSON, we migrated the data to Avro as serialization format, because — being a binary format — it is much more compact, efficient and supports the use of a schema registry. the Avro support is not shipped anymore with the base Debezium image. See the full Dockerfile here.

Kafka 52

Kafka Transportation Data Warehouse Database 52

Data Engineering Weekly

NOVEMBER 26, 2023

The companies backing Apache Hudi and Iceberg write articles about comparative ACID support in both the platforms here and here. ” Confluent, the company behind Kafka, Kafka Stream, and KSQL, launched Flink as a Service on its cloud product. Companies started to invest in either format.

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70

Rockset

FEBRUARY 24, 2023

Wide support : JSON is widely supported by many programming languages and frameworks, making it a good choice for interoperability between different systems. Strong schema support : Avro has a well-defined schema that allows for type safety and strong data validation. You can also format Avro messages in JSON.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Data Engineering Podcast

FEBRUARY 11, 2018

You can help support the show by checking out the Patreon page which is linked from the site. Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? You can help support the show by checking out the Patreon page which is linked from the site. What impact has the 10.0 What impact has the 10.0

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Confluent

FEBRUARY 6, 2019

Uber expanded Michelangelo “to serve any kind of Python model from any source to support other Machine Learning and Deep Learning frameworks like PyTorch and TensorFlow [instead of just using Spark for everything].”. This approach supports different frameworks, products and cloud services. These standards have pros and cons.

Machine Learning 107

Machine Learning Python Kafka Java 107

Data Engineering Podcast

MAY 6, 2019

And don’t forget to thank them for their continued support of this show! By transparently pulling data from underlying silos, Alluxio unlocks the value of your data and allows for modern computation-intensive workloads to become truly elastic and flexible for the cloud.

Systems 100

Systems MongoDB NoSQL Database 100