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Description

IBM Analytics for Apache Spark offers a versatile and cohesive Spark service that enables data scientists to tackle ambitious and complex inquiries while accelerating the achievement of business outcomes. This user-friendly, continually available managed service comes without long-term commitments or risks, allowing for immediate exploration. Enjoy the advantages of Apache Spark without vendor lock-in, supported by IBM's dedication to open-source technologies and extensive enterprise experience. With integrated Notebooks serving as a connector, the process of coding and analytics becomes more efficient, enabling you to focus more on delivering results and fostering innovation. Additionally, this managed Apache Spark service provides straightforward access to powerful machine learning libraries, alleviating the challenges, time investment, and risks traditionally associated with independently managing a Spark cluster. As a result, teams can prioritize their analytical goals and enhance their productivity significantly.

Description

Introducing an accessible, open-source solution that empowers everyone within your organization to seek answers and gain insights from data. Seamlessly connect your data and present it to your team with ease. Creating, sharing, and exploring dashboards is straightforward and user-friendly. Team members, from the CEO to Customer Support, can access answers to their data-related inquiries with just a few clicks. For more complex questions, the SQL capabilities and our notebook editor cater to those with advanced data skills. Tools such as visual joins, multiple aggregations, and filtering options enable you to delve deeper into your data for comprehensive analysis. Enhance your queries by incorporating variables to produce interactive visualizations that can be adjusted by users for exploration. You can also configure alerts and scheduled reports to ensure the right information reaches the appropriate individuals at the ideal moment. Getting started is simple with the hosted version, or you can opt for Docker to set everything up independently at no cost. Once you connect to your existing data and invite your team, you’ll have a robust BI solution that typically requires a sales pitch. This empowers your organization to make data-driven decisions swiftly and effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Spark
Cake AI
CrateDB
Cube
DataHawk
Elate
Flowls
Leo
Lyftrondata
MCPTotal
Metaphor
Oracle Database
Primo
Railway
SQL Server
Secoda
Select Star
Serval
Snowflake
Vistaly

Integrations

Apache Spark
Cake AI
CrateDB
Cube
DataHawk
Elate
Flowls
Leo
Lyftrondata
MCPTotal
Metaphor
Oracle Database
Primo
Railway
SQL Server
Secoda
Select Star
Serval
Snowflake
Vistaly

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

IBM

Founded

1911

Country

United States

Website

www.ibm.com/analytics/ca/en/technology/cloud-data-services/spark-as-a-service/

Vendor Details

Company Name

Metabase

Country

United States

Website

www.metabase.com

Product Features

Data Analysis

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

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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

Dashboard

Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets

Data Analysis

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

Alternatives

Apache Spark Reviews

Apache Spark

Apache Software Foundation

Alternatives

Amazon EMR Reviews

Amazon EMR

Amazon