Amazon KeyspacesAmazon
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Apache SparkApache Software Foundation
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Related Products
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About
Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Keyspaces, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you use today. You don’t have to provision, patch, or manage servers, and you don’t have to install, maintain, or operate software. Amazon Keyspaces is serverless, so you pay for only the resources you use and the service can automatically scale tables up and down in response to application traffic. You can build applications that serve thousands of requests per second with virtually unlimited throughput and storage. Amazon Keyspaces gives you the performance, elasticity, and enterprise features you need to operate business-critical Cassandra workloads at scale. Process data at high speeds for applications that require single-digit-millisecond latency, such as industrial equipment maintenance, trade monitoring, etc.
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About
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Application developers seeking a tool to build applications that serve thousands of requests per second
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Audience
Organizations that want a unified analytics engine for large-scale data processing
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/keyspaces/
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Company InformationApache Software Foundation
Founded: 1999
United States
spark.apache.org
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Alternatives |
Alternatives |
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Categories |
Categories |
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NoSQL Database Features
Auto-sharding
Supported
Automatic Database Replication
Supported
Data Model Flexibility
Supported
Deployment Flexibility
Supported
Dynamic Schemas
Supported
Integrated Caching
Supported
Multi-Model
Supported
Performance Management
Supported
Security Management
Supported
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Streaming Analytics Features
Data Enrichment
Supported
Data Wrangling / Data Prep
Supported
Multiple Data Source Support
Supported
Process Automation
Supported
Real-time Analysis / Reporting
Not Supported
Visualization Dashboards
Not Supported
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Integrations
Amazon SageMaker Data Wrangler
Not Supported
Amundsen
Not Supported
Baidu Sugar
Not Supported
Dagster
Not Supported
Databricks
Not Supported
Deeplearning4j
Not Supported
Deequ
Not Supported
Flyte
Not Supported
Great Expectations
Not Supported
Hadoop
Not Supported
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Integrations
Amazon SageMaker Data Wrangler
Supported
Amundsen
Supported
Baidu Sugar
Supported
Dagster
Supported
Databricks
Supported
Deeplearning4j
Supported
Deequ
Supported
Flyte
Supported
Great Expectations
Supported
Hadoop
Supported
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