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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Many organizations are not facing a lack of data; instead, what they truly need is a dependable method to create data, insights, and engage their audience in a manner that leads to meaningful business outcomes. While anyone can pose questions, CredSpark empowers you to formulate the right inquiries while effectively listening to your audience's feedback on a large scale. Discover how CredSpark assists organizations in transcending mere transactional data to cultivate insights and information that elevate their business performance. By engaging with CredSpark's Thought Starter, you can answer a few questions, and we will highlight opportunities tailored to your interests, objectives, and requirements. If you’re curious to explore further, simply inform us at the end, and we will connect with you to design a customized proposal. Our clients often begin with a desire to understand their audience better, and with the support of CredSpark, they establish ongoing dialogues with individual audience members at scale, thereby enhancing data collection, insights, interactions, and ultimately transactions. This approach not only fosters a deeper connection with the audience but also leads to more informed decision-making and strategic growth.

Description

Managed Service for Apache Spark is a unified Google Cloud platform designed to run Apache Spark workloads with greater ease, performance, and scalability. It offers both serverless and fully managed cluster deployment options, allowing users to choose the best model for their needs. The platform eliminates the need for infrastructure management, enabling teams to focus on data processing and analytics. With Lightning Engine, it delivers up to 4.9x faster performance than open-source Spark, improving efficiency for large-scale workloads. It integrates AI-powered tools like Gemini to assist with code generation, debugging, and workflow optimization. The service supports open data formats such as Apache Iceberg and connects seamlessly with Google Cloud services like BigQuery and Knowledge Catalog. It is designed for a wide range of use cases, including ETL pipelines, machine learning, and lakehouse architectures. Built-in security features and IAM integration ensure strong data governance. Flexible pricing models allow users to pay based on job execution or cluster uptime. Overall, it helps organizations modernize their data infrastructure and accelerate analytics workflows.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Spark No 
Collibra No 
Gemini Enterprise Agent Platform No 
Google Cloud BigQuery No 
Google Cloud Bigtable No 
Google Cloud Knowledge Catalog No 
Google Cloud Managed Service for Apache Airflow No 
IBM watsonx.data integration No 
Kubernetes No 
New Relic No 
Openbridge No 
Orchestra No 
Pantomath No 
Privacera No 
Qubole No 
Syntasa No 
Ternary No 
Tokern No 
Unravel No 
definity No 

Integrations

Apache Spark Yes 
Collibra Yes 
Gemini Enterprise Agent Platform Yes 
Google Cloud BigQuery Yes 
Google Cloud Bigtable Yes 
Google Cloud Knowledge Catalog Yes 
Google Cloud Managed Service for Apache Airflow Yes 
IBM watsonx.data integration Yes 
Kubernetes Yes 
New Relic Yes 
Openbridge Yes 
Orchestra Yes 
Pantomath Yes 
Privacera Yes 
Qubole Yes 
Syntasa Yes 
Ternary Yes 
Tokern Yes 
Unravel Yes 
definity Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

CredSpark

Country

United States

Website

www.credspark.com

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/products/managed-service-for-apache-spark

Product Features

Customer Experience

Action Management Yes 
Analytics Yes 
Customer Segmentation Yes 
Dashboard Yes 
Feedback Management Yes 
Knowledge Management Yes 
Multi-Channel Collection Yes 
Sentiment Analysis Yes 
Survey Management Yes 
Text Analysis Yes 
Trend Analysis No 

Marketing Automation

A/B Testing No 
Analytics / ROI Tracking No 
Artificial Intelligence No 
Content / Blogging Platform No 
Customizable CTAs Yes 
Drip Campaigns Yes 
Dynamic Content Yes 
Landing Pages / Web Forms No 
Lead Scoring No 
Sales Intelligence Yes 
Search Marketing No 
Segmentation No 
Social Marketing No 
Website Visitor Tracking No 

Talent Management

Career Development Planning No 
Compensation Management No 
Competency Management No 
Employee Lifecycle Management No 
Goal Setting / Tracking No 
Job Description Management No 
Onboarding No 
Performance Appraisal No 
Recruiting Management No 
Succession Planning No 
Training Management No 

Training

Academic / Education No 
Asynchronous Learning No 
Blended Learning No 
Built-In Course Authoring Yes 
Built-in LMS Yes 
Certification Management No 
Corporate / Business No 
Learner Portal Yes 
Mobile Learning No 
Simulation No 
Synchronous Learning No 
Training Companies No 
eCommerce No 

Product Features

Big Data

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

Data Analysis

Data Discovery Yes 
Data Visualization Yes 
High Volume Processing Yes 
Predictive Analytics Yes 
Regression Analysis Yes 
Sentiment Analysis Yes 
Statistical Modeling Yes 
Text Analytics No 

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