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Description
Amazon EMR stands as the leading cloud-based big data solution for handling extensive datasets through popular open-source frameworks like Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This platform enables you to conduct Petabyte-scale analyses at a cost that is less than half of traditional on-premises systems and delivers performance more than three times faster than typical Apache Spark operations. For short-duration tasks, you have the flexibility to quickly launch and terminate clusters, incurring charges only for the seconds the instances are active. In contrast, for extended workloads, you can establish highly available clusters that automatically adapt to fluctuating demand. Additionally, if you already utilize open-source technologies like Apache Spark and Apache Hive on-premises, you can seamlessly operate EMR clusters on AWS Outposts. Furthermore, you can leverage open-source machine learning libraries such as Apache Spark MLlib, TensorFlow, and Apache MXNet for data analysis. Integrating with Amazon SageMaker Studio allows for efficient large-scale model training, comprehensive analysis, and detailed reporting, enhancing your data processing capabilities even further. This robust infrastructure is ideal for organizations seeking to maximize efficiency while minimizing costs in their data operations.
Description
Licensed under Apache v2, Datafari is a comprehensive business search engine that provides a variety of connectors and user-friendly interfaces for both users and administrators. Additionally, it incorporates enterprise security protocols while also offering a commercial option that includes support services. In essence, Datafari offers a unique advantage by being one of the few packaged solutions available under the Apache license, effectively removing barriers for companies wishing to develop and market their own products based on similar technologies. With Datafari, this potential is fully realized, and it stands out as the sole solution capable of integrating SolrCloud, which allows for seamless scalability. Numerous clients are already benefiting from Datafari's implementation, with executable files accessible on the reference site dedicated to it. Furthermore, the source code can be found on GitHub, and users are encouraged to engage with the community through the Datafari forum for support and discussion. This collaborative approach not only enhances user experience but also fosters innovation within the Datafari ecosystem.
API Access
Has API
API Access
Has API
Integrations
AWS Data Exchange
AWS Step Functions
Amazon SageMaker Data Wrangler
Amazon SageMaker Unified Studio
Apache Spark
Data Virtuality
Feast
MetricFire
New Relic
Okera
Integrations
AWS Data Exchange
AWS Step Functions
Amazon SageMaker Data Wrangler
Amazon SageMaker Unified Studio
Apache Spark
Data Virtuality
Feast
MetricFire
New Relic
Okera
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/emr/
Vendor Details
Company Name
France Labs
Founded
2011
Country
France
Website
www.francelabs.com
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Product Features
Enterprise Search
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery
Insight Engines
AI / Machine Learning
Augmented Analytics
Data Aggregation
Data Classification
Data Extraction
Data Source Connectors
Full Text Search
Intent Recognition
Multiple Data Sources
Search / Filter
Sentiment Analysis