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ease
features
design
support

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Description

AWS Data Pipeline is a robust web service designed to facilitate the reliable processing and movement of data across various AWS compute and storage services, as well as from on-premises data sources, according to defined schedules. This service enables you to consistently access data in its storage location, perform large-scale transformations and processing, and seamlessly transfer the outcomes to AWS services like Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. With AWS Data Pipeline, you can effortlessly construct intricate data processing workflows that are resilient, repeatable, and highly available. You can rest assured knowing that you do not need to manage resource availability, address inter-task dependencies, handle transient failures or timeouts during individual tasks, or set up a failure notification system. Additionally, AWS Data Pipeline provides the capability to access and process data that was previously confined within on-premises data silos, expanding your data processing possibilities significantly. This service ultimately streamlines the data management process and enhances operational efficiency across your organization.

Description

BigBI empowers data professionals to create robust big data pipelines in an interactive and efficient manner, all without requiring any programming skills. By harnessing the capabilities of Apache Spark, BigBI offers remarkable benefits such as scalable processing of extensive datasets, achieving speeds that can be up to 100 times faster. Moreover, it facilitates the seamless integration of conventional data sources like SQL and batch files with contemporary data types, which encompass semi-structured formats like JSON, NoSQL databases, Elastic, and Hadoop, as well as unstructured data including text, audio, and video. Additionally, BigBI supports the amalgamation of streaming data, cloud-based information, artificial intelligence/machine learning, and graphical data, making it a comprehensive tool for data management. This versatility allows organizations to leverage diverse data types and sources, enhancing their analytical capabilities significantly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon S3
Amazon DynamoDB
Amazon EMR
Amazon RDS
Amazon Redshift
Apache Cassandra
Apache Hive
Apache Kafka
EC2 Spot
Elasticsearch
Google Cloud BigQuery
Hadoop
MySQL
Neo4j
OrientDB
PostgreSQL
RabbitMQ
SQL Server
Salesforce
SquaredUp

Integrations

Amazon S3
Amazon DynamoDB
Amazon EMR
Amazon RDS
Amazon Redshift
Apache Cassandra
Apache Hive
Apache Kafka
EC2 Spot
Elasticsearch
Google Cloud BigQuery
Hadoop
MySQL
Neo4j
OrientDB
PostgreSQL
RabbitMQ
SQL Server
Salesforce
SquaredUp

Pricing Details

$1 per month
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/datapipeline/

Vendor Details

Company Name

BigBI

Founded

2019

Country

Israel

Website

bigbi.io

Product Features

ETL

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

Product 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

Alternatives

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