Amazon EMR

Amazon EMR

Amazon
SigView

SigView

Sigmoid
+
+

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About

Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting.

About

Get access to granular data for effortless slice & dice on billions of rows, and ensure real-time reporting in seconds! Sigview is a plug-n-play real-time data analytics tool by Sigmoid to carry exploratory data analysis. Custom built on Apache Spark, Sigview is capable of drilling down into massive data sets within a few seconds. Used by around 30k users across the globe to analyze billions of ad impressions, Sigview is designed to give real-time access to your Programmatic and non-programmatic data by analyzing enormous data sets while creating real-time reports. Whether it is optimizing your ad campaigns or discovering new inventory or generating revenue opportunities with changing times, Sigview is your go-to platform for all your reporting needs. Connects to multiple data sources like DFP, Pixel Servers, Audience and viewability partners to ingest data in any format and location maintaining data latency of less than 15 minutes.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies that want to easily run and scale Apache Spark, Hive, Presto, and other big data frameworks

Audience

Companies searching for a one-stop analytics solution for all their advertising data

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

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

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Sigmoid
Founded: 2013
United States
www.sigmoid.com/solutions/sigview/

Alternatives

Alternatives

Amazon EMR

Amazon EMR

Amazon
E-MapReduce

E-MapReduce

Alibaba
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Categories

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Integrations

AWS App Mesh
AWS Data Pipeline
Amazon S3 Express One Zone
Amazon SageMaker Unified Studio
Apache Hive
Data Virtuality
EC2 Spot
Feast
Immuta
MetricFire
Okera
SAS Studio
Saagie
Service Center
Sifflet
Tecton
TrustLogix
Unravel
Veza

Integrations

AWS App Mesh
AWS Data Pipeline
Amazon S3 Express One Zone
Amazon SageMaker Unified Studio
Apache Hive
Data Virtuality
EC2 Spot
Feast
Immuta
MetricFire
Okera
SAS Studio
Saagie
Service Center
Sifflet
Tecton
TrustLogix
Unravel
Veza
Claim Amazon EMR and update features and information
Claim Amazon EMR and update features and information
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Claim SigView and update features and information