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Confluent VS Calisti

Compare Confluent VS Calisti and see what are their differences

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Confluent logo Confluent

Confluent offers a real-time data platform built around Apache Kafka.

Calisti logo Calisti

Calisti easily manages multiple clusters with a single service mesh manager, each cluster with a synchronized, separate control pane.
  • Confluent Landing page
    Landing page //
    2023-10-22
  • Calisti Landing page
    Landing page //
    2023-06-14

Calisti effortlessly secures, deploys, and manages your cloud native apps and event drive platforms such as Apache Kafka at scale on Kubernetes, on hybrid multi-cloud ◦ Calisti simplifies zero-trust security by integrating security into Apache Kafka through Kubernetes. ◦ Calisti simplifies observability by integrating metrics, events, logs, topology, and tracing into a single pane of glass, accelerating root cause analysis and remediation time. ◦ Calisti simplifies the management of services such as Scaling of clusters by providing a user-friendly platform offering features like real-time network debugging tools, integrated configuration validation, and a sleek UI dashboard.

Confluent

Website
confluent.io
Pricing URL
Official Confluent Pricing
$ Details
Edit details

Calisti

Website
calisti.app
Pricing URL
Official Calisti Pricing
$ Details
freemium $704.0 / Monthly (Pro, 25 nodes, unlimited Kubernetes clusters)
Edit details

Confluent features and specs

No features have been listed yet.

Calisti features and specs

  • Fine-grained broker configuration support for heterogeneous cluster layouts.: Yes
  • Declarative topic and user management through custom resources (CRs).: Yes
  • Automatic, mTLS-based encrypted and authenticated communication between all Streaming Data Manager components.: Yes
  • Advanced Grafana dashboards to monitor all Kafka components.: Yes
  • Automatic reaction and self-healing based on Prometheus alerts.: Yes
  • Alert-based reactions for graceful up and downscaling and adding volumes to brokers.: Yes
  • Disaster recovery using volume snapshots and cross-cluster replication using MirrorMaker2.: Yes
  • Rolling upgrades for continuous operations.: Yes

Confluent videos

+ Add

1. Intro | Monitoring Kafka in Confluent Control Center

More videos:

  • Review - Jason Gustafson, Confluent: Revisiting Exactly One Semantics (EOS) | Bay Area Apache Kafka® Meetup
  • Review - CLEARER SKIN AFTER 1 USE‼️| Ancient Cosmetics Update✨| CONFLUENT & RETICULATED PAPILLOMATOSIS CURE?😩

Calisti videos

+ Add

The Future of Financial Services

More videos:

  • Tutorial - Cisco Intersight Animated Explainer
  • Tutorial - COTA brings 5G onboard with Cisco
  • Demo - Latest around Calisti, Panoptica and Edge projects at Cisco

Category Popularity

0-100% (relative to Confluent and Calisti)

Confluent

Calisti

Stream Processing
100 100%
Stream Processing
0% 0
Big Data
90 90%
Big Data
10% 10
Security
0 0%
Security
100% 100
Data Management
100 100%
Data Management
0% 0

User comments

Share your experience with using Confluent and Calisti. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Confluent seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Confluent mentions (1)

  • Spring Boot Event Streaming with Kafka
    We’re going to setup a Kafka cluster using confluent.io, create a producer and consumer as well as enhance our behavior driven tests to include the new interface. We’re going to update our helm chart so that the updates are seamless to Kubernetes and we’re going to leverage our observability stack to propagate the traces in the published messages. Source: about 2 years ago

Calisti mentions (0)

We have not tracked any mentions of Calisti yet. Tracking of Calisti recommendations started around Apr 2023.

What are some alternatives?

When comparing Confluent and Calisti, you can also consider the following products

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Lenses.io - Lenses delivers DataOps for any Apache Kafka. With Lenses, engineers are more productive when building streaming applications on Kafka.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Integrify - Quickly automate any form or process without code and improve your workflow.

Spark Streaming - Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

Red Hat Enterprise Linux - Red Hat Enterprise Linux is an open source operating system that is certified on hundreds of clouds & with thousands of hardware & software vendors.

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