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What is SparkBeyond?

SparkBeyond Discovery takes a unique approach to analyze complex data sets, revealing solutions to business problems in surprising ways. It facilitates the seamless integration of external data into your analyses, deepening your comprehension of the crucial elements that drive results and offering a well-rounded perspective of your business environment. By allowing users to interact with data and insights using natural language, it enhances collaboration between analytics teams and business executives, elevating analytics efforts beyond simple trials. To maintain the relevance of insights derived from analytics, it supports an ongoing cycle of inputs and outputs that are responsive to evolving conditions. As changes occur in the world, your insights must also adapt. With the capability to automatically link diverse data types—from time-series to geo-spatial—without requiring any coding, you can effortlessly uncover valuable insights. Furthermore, by incorporating a thoughtfully assembled repository of global knowledge, which includes maps, demographic statistics, and Wikipedia entries, along with access to a network of external data collaborators, your analytical prowess can be significantly amplified. This comprehensive methodology ensures that organizations are not only prepared but also resilient in facing the intricate challenges of today’s business landscape, ultimately driving informed decision-making and strategic growth.

What is Apache Spark?

Apache Spark™ is a powerful analytics platform crafted for large-scale data processing endeavors. It excels in both batch and streaming tasks by employing an advanced Directed Acyclic Graph (DAG) scheduler, a highly effective query optimizer, and a streamlined physical execution engine. With more than 80 high-level operators at its disposal, Spark greatly facilitates the creation of parallel applications. Users can engage with the framework through a variety of shells, including Scala, Python, R, and SQL. Spark also boasts a rich ecosystem of libraries—such as SQL and DataFrames, MLlib for machine learning, GraphX for graph analysis, and Spark Streaming for processing real-time data—which can be effortlessly woven together in a single application. This platform's versatility allows it to operate across different environments, including Hadoop, Apache Mesos, Kubernetes, standalone systems, or cloud platforms. Additionally, it can interface with numerous data sources, granting access to information stored in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and many other systems, thereby offering the flexibility to accommodate a wide range of data processing requirements. Such a comprehensive array of functionalities makes Spark a vital resource for both data engineers and analysts, who rely on it for efficient data management and analysis. The combination of its capabilities ensures that users can tackle complex data challenges with greater ease and speed.

Media

Media

Integrations Supported

Apache Kudu
Apache PredictionIO
Archon Data Store
Delta Lake
Foundational
Google Cloud Bigtable
IBM Analytics for Apache Spark
IBM Cloud SQL Query
Kylo
LakeSail
MLflow
Mage Sensitive Data Discovery
Querona
Quorso
RazorThink
Riak TS
Vaultspeed
Warp 10
eQube®-DaaS

Integrations Supported

Apache Kudu
Apache PredictionIO
Archon Data Store
Delta Lake
Foundational
Google Cloud Bigtable
IBM Analytics for Apache Spark
IBM Cloud SQL Query
Kylo
LakeSail
MLflow
Mage Sensitive Data Discovery
Querona
Quorso
RazorThink
Riak TS
Vaultspeed
Warp 10
eQube®-DaaS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SparkBeyond

Date Founded

2013

Company Location

Israel

Company Website

www.sparkbeyond.com

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

spark.apache.org

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Categories and Features

Big Data

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

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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