Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Kapacitor serves as a dedicated data processing engine for InfluxDB 1.x and is also a core component of the InfluxDB 2.0 ecosystem. This powerful tool is capable of handling both stream and batch data, enabling real-time responses through its unique programming language, TICKscript. In the context of contemporary applications, merely having dashboards and operator alerts is insufficient; there is a growing need for automation and action-triggering capabilities. Kapacitor employs a publish-subscribe architecture for its alerting system, where alerts are published to specific topics and handlers subscribe to these topics for updates. This flexible pub/sub framework, combined with the ability to execute User Defined Functions, empowers Kapacitor to function as a pivotal control plane within various environments, executing tasks such as auto-scaling, stock replenishment, and managing IoT devices. Additionally, Kapacitor's straightforward plugin architecture allows for seamless integration with various anomaly detection engines, further enhancing its versatility and effectiveness in data processing.
Description
Modern distributed messaging platforms like Kafka and Pulsar have established a robust Pub/Sub framework suitable for the demands of contemporary data-rich applications. Pravega takes this widely accepted programming model a step further by offering a cloud-native streaming infrastructure that broadens its applicability across various use cases. With features that ensure streams are durable, consistent, and elastic, Pravega also offers native support for long-term data retention. It addresses architectural challenges that earlier topic-centric systems such as Kafka and Pulsar have struggled with, including the automatic scaling of partitions and maintaining optimal performance despite a high volume of partitions. Additionally, Pravega expands the types of applications it can support by adeptly managing both small-scale events typical in IoT and larger data sets relevant to video processing and analytics. Beyond merely providing stream abstractions, Pravega facilitates the replication of application states and the storage of key-value pairs, making it a versatile choice for developers. This flexibility empowers users to create more complex and resilient data architectures tailored to their specific needs.
API Access
Has API
API Access
Has API
Integrations
Apache Kafka
Aerospike
Amazon CloudWatch
Amazon Kinesis
Amazon Web Services (AWS)
Apache Aurora
Apache Cassandra
Azure Storage
Couchbase
Elasticsearch
Integrations
Apache Kafka
Aerospike
Amazon CloudWatch
Amazon Kinesis
Amazon Web Services (AWS)
Apache Aurora
Apache Cassandra
Azure Storage
Couchbase
Elasticsearch
Pricing Details
$0.002 per GB per hour
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
InfluxData
Founded
2012
Country
United States
Website
www.influxdata.com/time-series-platform/kapacitor/
Vendor Details
Company Name
Pravega
Founded
2017
Country
United States
Website
pravega.io
Product Features
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
Product Features
Cloud Storage
Access Control
Archiving & Retention
Backup
Data Migration
Data Synchronization
Encryption
File Sharing
Version Control