Apache Spark

Apache Spark

Apache Software Foundation
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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.

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.

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

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

Audience

Application developers seeking a tool to build applications that serve thousands of requests per second

Audience

Organizations that want a unified analytics engine for large-scale data processing

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/keyspaces/

Company Information

Apache Software Foundation
Founded: 1999
United States
spark.apache.org

Alternatives

Alternatives

dbt

dbt

dbt Labs
Astra DB

Astra DB

DataStax
MLlib

MLlib

Apache Software Foundation
Apache Cassandra

Apache Cassandra

Apache Software Foundation

Categories

Categories

Big Data Supported
Data Analysis Supported
Data Modeling Supported
Query Engines Supported

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

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

Integrations

3forge Not Supported
Baidu Palo Not Supported
BentoML Not Supported
Coginiti Not Supported
Dataiku Not Supported
Genesis Computing Not Supported
IBM Cloud SQL Query Not Supported
IBM Intelligent Operations Center for Emergency Mgmt Not Supported
IBM watsonx.data Not Supported
Jupyter Notebook Not Supported
Mage Platform Not Supported
OctoData Not Supported
Onehouse Not Supported
Qlik Staige Not Supported
Querona Not Supported
RazorSQL Supported
Zepl Not Supported
doolytic Not Supported

Integrations

3forge Supported
Baidu Palo Supported
BentoML Supported
Coginiti Supported
Dataiku Supported
Genesis Computing Supported
IBM Cloud SQL Query Supported
IBM Intelligent Operations Center for Emergency Mgmt Supported
IBM watsonx.data Supported
Jupyter Notebook Supported
Mage Platform Supported
OctoData Supported
Onehouse Supported
Qlik Staige Supported
Querona Supported
RazorSQL Not Supported
Zepl Supported
doolytic Supported
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