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What is BigBI?

BigBI enables data experts to effortlessly design powerful big data pipelines interactively, eliminating the necessity for programming skills. Utilizing the strengths of Apache Spark, BigBI provides remarkable advantages that include the ability to process authentic big data at speeds potentially up to 100 times quicker than traditional approaches. Additionally, the platform effectively merges traditional data sources like SQL and batch files with modern data formats, accommodating semi-structured formats such as JSON, NoSQL databases, and various systems like Elastic and Hadoop, as well as handling unstructured data types including text, audio, and video. Furthermore, it supports the incorporation of real-time streaming data, cloud-based information, artificial intelligence, machine learning, and graph data, resulting in a well-rounded ecosystem for comprehensive data management. This all-encompassing strategy guarantees that data professionals can utilize a diverse range of tools and resources to extract valuable insights and foster innovation in their projects. Ultimately, BigBI stands out as a transformative solution for the evolving landscape of data management.

What is AWS Data Pipeline?

AWS Data Pipeline is a cloud service designed to facilitate the dependable transfer and processing of data between various AWS computing and storage platforms, as well as on-premises data sources, following established schedules. By leveraging AWS Data Pipeline, users gain consistent access to their stored information, enabling them to conduct extensive transformations and processing while effortlessly transferring results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. This service greatly simplifies the setup of complex data processing tasks that are resilient, repeatable, and highly dependable. Users benefit from the assurance that they do not have to worry about managing resource availability, inter-task dependencies, transient failures, or timeouts, nor do they need to implement a system for failure notifications. Additionally, AWS Data Pipeline allows users to efficiently transfer and process data that was previously locked away in on-premises data silos, which significantly boosts overall data accessibility and utility. By enhancing the workflow, this service not only makes data handling more efficient but also encourages better decision-making through improved data visibility. The result is a more streamlined and effective approach to managing data in the cloud.

Media

No images available

Media

Integrations Supported

Amazon S3
AWS App Mesh
Amazon DynamoDB
Amazon EMR
Amazon RDS
Apache Cassandra
Apache Hive
Apache Kafka
Apache Kudu
ArangoDB
Cloudera
Google Cloud BigQuery
MongoDB
MySQL
Neo4j
Oracle Database
OrientDB
SQL Server
Salesforce
SquaredUp

Integrations Supported

Amazon S3
AWS App Mesh
Amazon DynamoDB
Amazon EMR
Amazon RDS
Apache Cassandra
Apache Hive
Apache Kafka
Apache Kudu
ArangoDB
Cloudera
Google Cloud BigQuery
MongoDB
MySQL
Neo4j
Oracle Database
OrientDB
SQL Server
Salesforce
SquaredUp

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1 per month
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

BigBI

Date Founded

2019

Company Location

Israel

Company Website

bigbi.io

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/datapipeline/

Categories and Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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