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What is IBM StreamSets?

IBM® StreamSets empowers users to design and manage intelligent streaming data pipelines through a user-friendly graphical interface, making it easier to integrate data seamlessly in both hybrid and multicloud settings. Renowned global organizations leverage IBM StreamSets to manage millions of data pipelines, facilitating modern analytics and the development of smart applications. This platform significantly reduces data staleness while providing real-time information at scale, efficiently processing millions of records across thousands of pipelines within seconds. The drag-and-drop processors are designed to automatically identify and adapt to data drift, ensuring that your data pipelines remain resilient to unexpected changes. Users can create streaming pipelines to ingest structured, semi-structured, or unstructured data, efficiently delivering it to various destinations while maintaining high performance and reliability. Additionally, the system's flexibility allows for rapid adjustments to evolving data needs, making it an invaluable tool for data management in today's dynamic environments.

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.

Media

Media

No images available

Integrations Supported

Amazon Redshift
Amazon S3
Apache Cassandra
Elasticsearch
Hadoop
MongoDB
MySQL
PostgreSQL
Salesforce
Amazon Kinesis
Azure Industrial IoT
Couchbase
Delta Lake
FileTrail Records Management
Neo4j
Oracle Database
Redis
SAP HANA
SQL Server
Snowflake

Integrations Supported

Amazon Redshift
Amazon S3
Apache Cassandra
Elasticsearch
Hadoop
MongoDB
MySQL
PostgreSQL
Salesforce
Amazon Kinesis
Azure Industrial IoT
Couchbase
Delta Lake
FileTrail Records Management
Neo4j
Oracle Database
Redis
SAP HANA
SQL Server
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

$1000 per month
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/streamsets

Company Facts

Organization Name

BigBI

Date Founded

2019

Company Location

Israel

Company Website

bigbi.io

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Streaming Analytics

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

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

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