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Ratings and Reviews 0 Ratings
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StarTreeStarTree Cloud functions as a fully-managed platform for real-time analytics, optimized for online analytical processing (OLAP) with exceptional speed and scalability tailored for user-facing applications. Leveraging the capabilities of Apache Pinot, it offers enterprise-level reliability along with advanced features such as tiered storage, scalable upserts, and a variety of additional indexes and connectors. The platform seamlessly integrates with transactional databases and event streaming technologies, enabling the ingestion of millions of events per second while indexing them for rapid query performance. Available on popular public clouds or for private SaaS deployment, StarTree Cloud caters to diverse organizational needs. Included within StarTree Cloud is the StarTree Data Manager, which facilitates the ingestion of data from both real-time sources—such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda—and batch data sources like Snowflake, Delta Lake, Google BigQuery, or object storage solutions like Amazon S3, Apache Flink, Apache Hadoop, and Apache Spark. Moreover, the system is enhanced by StarTree ThirdEye, an anomaly detection feature that monitors vital business metrics, sends alerts, and supports real-time root-cause analysis, ensuring that organizations can respond swiftly to any emerging issues. This comprehensive suite of tools not only streamlines data management but also empowers organizations to maintain optimal performance and make informed decisions based on their analytics.
What is Virtualitics?
By merging embedded AI with immersive 3D visualizations, analysts gain the ability to develop innovative business strategies while ensuring that no critical insights from their data are missed. The Intelligent Exploration feature from Virtualitics enhances this capability through AI-assisted exploration that actively identifies key insights necessary for making impactful decisions. This AI-driven exploration translates complex data into accessible language, guaranteeing that every significant detail is captured effectively. Analysts can quickly navigate through a diverse range of data types and complexities, revealing important relationships in just moments. The engaging and informative nature of 3D visualizations deepens understanding by vividly illustrating data narratives and trends. Utilizing 3D and VR data visualization tools allows analysts to examine data from new angles, making it easier to grasp complex findings. Additionally, the capacity to disseminate well-annotated insights and clear explanations assures that all stakeholders remain informed and aligned with the strategic goals. This comprehensive approach not only enhances the analytical process but also promotes teamwork and collaboration among different teams, leading to more cohesive decision-making. In essence, the integration of these advanced technologies transforms how organizations interpret and act on their data insights.
What is Numbers Station?
Accelerating the insight-gathering process and eliminating barriers for data analysts is essential. By utilizing advanced automation within the data stack, organizations can extract insights significantly faster—up to ten times quicker—due to advancements in AI technology. This state-of-the-art intelligence, initially created at Stanford's AI lab, is now readily available for implementation in your business. With the ability to use natural language, you can unlock the value from complex, chaotic, and siloed data in just minutes. You simply need to direct your data on your goals, and it will quickly generate the corresponding code for you to execute. This automation is designed to be highly customizable, addressing the specific intricacies of your organization instead of relying on one-size-fits-all solutions. It enables users to securely automate workflows that are heavy on data within the modern data stack, relieving data engineers from the continuous influx of demands. Imagine accessing insights in mere minutes rather than enduring long waits that could last months, with solutions specifically tailored and refined to meet your organization’s needs. Additionally, it integrates effortlessly with a range of upstream and downstream tools like Snowflake, Databricks, Redshift, and BigQuery, all while being built on the dbt framework, ensuring a holistic strategy for data management. This groundbreaking solution not only boosts operational efficiency but also fosters an environment of data-driven decision-making across every level of your organization, encouraging everyone to leverage data effectively. As a result, the entire enterprise can pivot towards a more informed and agile approach in tackling business challenges.
Integrations Supported
Databricks Data Intelligence Platform
Snowflake
Amazon Redshift
Google Cloud BigQuery
Looker
Microsoft Power BI
Tableau
Integrations Supported
Databricks Data Intelligence Platform
Snowflake
Amazon Redshift
Google Cloud BigQuery
Looker
Microsoft Power BI
Tableau
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
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
Virtualitics
Date Founded
2016
Company Location
United States
Company Website
virtualitics.com
Company Facts
Organization Name
Numbers Station
Company Location
United States
Company Website
www.numbersstation.ai/
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control