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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Amazon Managed Streaming for Apache Kafka (Amazon MSK) simplifies the process of creating and operating applications that leverage Apache Kafka for handling streaming data. As an open-source framework, Apache Kafka enables the construction of real-time data pipelines and applications. Utilizing Amazon MSK allows you to harness the native APIs of Apache Kafka for various tasks, such as populating data lakes, facilitating data exchange between databases, and fueling machine learning and analytical solutions. However, managing Apache Kafka clusters independently can be quite complex, requiring tasks like server provisioning, manual configuration, and handling server failures. Additionally, you must orchestrate updates and patches, design the cluster to ensure high availability, secure and durably store data, establish monitoring systems, and strategically plan for scaling to accommodate fluctuating workloads. By utilizing Amazon MSK, you can alleviate many of these burdens and focus more on developing your applications rather than managing the underlying infrastructure.

Description

Luna offers a subscription service for Apache Cassandra support and expertise through DataStax, allowing users to take advantage of open-source Cassandra while benefiting from the knowledge and experience of the team that created most of its code and has supported some of the largest deployments globally. With Luna, you gain access to best practices, expert advice, and SLA-based support to ensure your Cassandra setup remains optimal. You can scale your operations without sacrificing performance or latency, effectively managing even the most demanding real-time workloads with ease. The service empowers you to create dynamic and highly-interactive customer experiences with exceptionally fast read and write capabilities. Additionally, Luna helps resolve issues and adhere to best practices in managing Cassandra clusters. The support provided encompasses the entire application life cycle, facilitating a deeper collaboration with your team throughout the implementation process, ensuring that your needs are met at every stage. Ultimately, Luna enhances your ability to harness the full potential of Cassandra for your business objectives.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

5X Yes 
Amazon Data Firehose Yes 
Amazon EC2 Yes 
Amazon Web Services (AWS) No 
Apache Cassandra No 
Argonaut Yes 
DataStax No 
Datadog Yes 
GraphQL No 
JSON No 
Lenses Yes 
Microsoft Azure No 
New Relic Yes 
Onehouse Yes 
Protegrity Yes 
Sumo Logic Yes 
Tenzir Yes 
VMware Cloud No 
Waterstream Yes 
kPow Yes 

Integrations

5X No 
Amazon Data Firehose No 
Amazon EC2 No 
Amazon Web Services (AWS) Yes 
Apache Cassandra Yes 
Argonaut No 
DataStax Yes 
Datadog No 
GraphQL Yes 
JSON Yes 
Lenses No 
Microsoft Azure Yes 
New Relic No 
Onehouse No 
Protegrity No 
Sumo Logic No 
Tenzir No 
VMware Cloud Yes 
Waterstream No 
kPow No 

Pricing Details

$0.0543 per hour
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/msk/

Vendor Details

Company Name

DataStax

Founded

2010

Country

United States

Website

www.datastax.com/products/luna

Product Features

Streaming Analytics

Data Enrichment No 
Data Wrangling / Data Prep No 
Multiple Data Source Support No 
Process Automation No 
Real-time Analysis / Reporting No 
Visualization Dashboards No 

Product Features

NoSQL Database

Auto-sharding No 
Automatic Database Replication No 
Data Model Flexibility No 
Deployment Flexibility No 
Dynamic Schemas No 
Integrated Caching No 
Multi-Model No 
Performance Management No 
Security Management No 

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