Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Google Cloud's Managed Service for Apache Kafka is an efficient and scalable solution that streamlines the deployment, oversight, and upkeep of Apache Kafka clusters. By automating essential operational functions like provisioning, scaling, and patching, it allows developers to concentrate on application development without the burdens of managing infrastructure. The service guarantees high reliability and availability through data replication across various zones, thus mitigating the risks of potential outages. Additionally, it integrates effortlessly with other Google Cloud offerings, enabling the creation of comprehensive data processing workflows. Security measures are robust, featuring encryption for both stored and transmitted data, along with identity and access management, and network isolation to keep information secure. Users can choose between public and private networking setups, allowing for diverse connectivity options that cater to different requirements. This flexibility ensures that businesses can adapt the service to meet their specific operational needs efficiently.
Description
The Stackable data platform was crafted with a focus on flexibility and openness. It offers a carefully selected range of top-notch open source data applications, including Apache Kafka, OpenSearch, Trino, and Apache Spark. Unlike many competitors that either promote their proprietary solutions or enhance vendor dependence, Stackable embraces a more innovative strategy. All data applications are designed to integrate effortlessly and can be added or removed with remarkable speed. Built on Kubernetes, it is capable of operating in any environment, whether on-premises or in the cloud. To initiate your first Stackable data platform, all you require is stackablectl along with a Kubernetes cluster. In just a few minutes, you will be poised to begin working with your data. You can set up your one-line startup command right here. Much like kubectl, stackablectl is tailored for seamless interaction with the Stackable Data Platform. Utilize this command line tool for deploying and managing stackable data applications on Kubernetes. With stackablectl, you have the ability to create, delete, and update components efficiently, ensuring a smooth operational experience for your data management needs. The versatility and ease of use make it an excellent choice for developers and data engineers alike.
API Access
Has API
No
API Access
Has API
No
Integrations
Apache Kafka
Yes
Apache Airflow
No
Apache Druid
No
Apache HBase
No
Apache Hive
No
Apache Iceberg
No
Apache NiFi
No
Apache Spark
No
Apache ZooKeeper
No
Docker
No
Integrations
Apache Kafka
Yes
Apache Airflow
Yes
Apache Druid
Yes
Apache HBase
Yes
Apache Hive
Yes
Apache Iceberg
Yes
Apache NiFi
Yes
Apache Spark
Yes
Apache ZooKeeper
Yes
Docker
Yes
Pricing Details
$0.09 per hour
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/products/managed-service-for-apache-kafka
Vendor Details
Company Name
Stackable
Founded
2020
Country
Germany
Website
stackable.tech/
Product Features
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
Yes
Data Quality Control
No
Data Security
Yes
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Warehouse
Ad hoc Query
No
Analytics
Yes
Data Integration
Yes
Data Migration
Yes
Data Quality Control
No
ETL - Extract / Transfer / Load
Yes
In-Memory Processing
No
Match & Merge
No