Average Ratings 0 Ratings
Average Ratings 1 Rating
Similar Products
-
Google Cloud PlatformGoogle Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
-
Teradata VantageCloudTeradata VantageCloud: Open, Scalable Cloud Analytics for AI VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.
-
Google Cloud BigQueryBigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
-
SenseIPsenseIP streamlines the patenting process by providing a complete AI-driven solution for inventors. The platform supports everything from researching prior art and drafting patents to filing and managing patents, all without requiring legal expertise. With senseIP, users can access advanced AI tools that accelerate the patent process, offering accurate results at a fraction of the cost of traditional patent law services. The platform is trained on over 100 million patent applications globally, ensuring precise and high-quality outcomes for both startups and individual inventors.
-
RaimaDBRaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
-
StatseekerStatseeker is a powerful network performance monitor solution. It's fast, scalable, and cost-effective. Statseeker requires only one server or virtual machine to be up and running in minutes. It can also discover your entire network in under an hour without any significant impact on your bandwidth availability. It can monitor networks of all sizes, polling upto one million interfaces every sixty second, and collecting network data like SNMP, ping, NetFlow (sFlow, and J-Flow), sylog and trap messages, SDN configuration, and health metrics. Statseeker performance data are never averaged or rolled up. This eliminates the guesswork when it comes to identifying over- and underestimated infrastructure, root cause analysis, capacity planning, and other tasks. Statseeker's complete data retention means the in-built analytic engine can accurately detect anomalies in performance and forecast network behaviour months in advance. This allows network admins to plan and perform cost-effective, preventative maintenance, instead of fire-fighting problems as they occur. Statseeker's dashboards and out-of-the box reports allow you to troubleshoot and fix problems in your network before users are aware.
-
Microsoft Power BIPower BI provides advanced data analysis, leveraging AI features to transform complex datasets into visual insights. It integrates data into a single source, OneLake, reducing duplication and streamlining analysis. The platform enhances decision-making by integrating insights into everyday tools like Microsoft 365 and is bolstered by Microsoft Fabric for data team empowerment. Power BI is scalable, handling extensive data without performance loss, and integrates well with Microsoft's ecosystem for coherent data management. Its AI tools are user-friendly and contribute to efficient and accurate insights, supported by strong data governance measures. The Copilot function in Power BI enables quick and efficient report creation. Power BI Pro licenses individuals for self-service analytics, while the free account offers data connection and visualization capabilities. The platform ensures ease of use and accessibility, backed by comprehensive training. It has shown a notable return on investment and economic benefits, as reported in a Forrester study. Gartner's Magic Quadrant recognizes Power BI for its ability to execute and completeness of vision.
-
MongoDB AtlasMongoDB Atlas stands out as the leading cloud database service available, offering unparalleled data distribution and seamless mobility across all major platforms, including AWS, Azure, and Google Cloud. Its built-in automation tools enhance resource management and workload optimization, making it the go-to choice for modern application deployment. As a fully managed service, it ensures best-in-class automation and adheres to established practices that support high availability, scalability, and compliance with stringent data security and privacy regulations. Furthermore, MongoDB Atlas provides robust security controls tailored for your data needs, allowing for the integration of enterprise-grade features that align with existing security protocols and compliance measures. With preconfigured elements for authentication, authorization, and encryption, you can rest assured that your data remains secure and protected at all times. Ultimately, MongoDB Atlas not only simplifies deployment and scaling in the cloud but also fortifies your data with comprehensive security features that adapt to evolving requirements.
-
QA WolfQA Wolf helps engineering teams achieve 80% automated test coverage end-to-end in just four months. Here's an overview of what you get in the box, whether it's 100 or 100,000 tests. • Automated end-to-end testing for 80% of the user flows in 4 months. The tests are written in Playwright, an open-source tool (no vendor lock-in; you own the code). • Test matrix and outline in the AAA framework. • Unlimited parallel testing on any environment of your choice. • We host and maintain 100% parallel-run infrastructure. • Maintenance of flaky and broken test for 24 hours. • Guaranteed 100% reliable results -- zero flakes. • Human-verified bugs sent via your messaging app as a bug report. • CI/CD Integration with your deployment pipelines and issue trackers. • Access to full-time QA Engineers at QA Wolf 24 hours a day.
-
QlooQloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.
Description
Oracle Cloud Infrastructure (OCI) Data Flow is a comprehensive managed service for Apache Spark, enabling users to execute processing tasks on enormous data sets without the burden of deploying or managing infrastructure. This capability accelerates the delivery of applications, allowing developers to concentrate on building their apps rather than dealing with infrastructure concerns. OCI Data Flow autonomously manages the provisioning of infrastructure, network configurations, and dismantling after Spark jobs finish. It also oversees storage and security, significantly reducing the effort needed to create and maintain Spark applications for large-scale data analysis. Furthermore, with OCI Data Flow, there are no clusters that require installation, patching, or upgrading, which translates to both time savings and reduced operational expenses for various projects. Each Spark job is executed using private dedicated resources, which removes the necessity for prior capacity planning. Consequently, organizations benefit from a pay-as-you-go model, only incurring costs for the infrastructure resources utilized during the execution of Spark jobs. This innovative approach not only streamlines the process but also enhances scalability and flexibility for data-driven applications.
Description
Posit delivers a comprehensive ecosystem for modern data science, uniting open-source technologies with enterprise-grade collaboration and deployment tools. Positron, its free data-science IDE, blends the immediacy of a console with powerful debugging, editing, and production capabilities for Python and R developers. Posit’s suite of products allows organizations to securely host analytical content, automate reporting, and operationalize models with confidence. With strong support for open-source tooling, the company enables teams to build on transparent, extensible technologies they can fully trust. Cloud solutions simplify how users store, access, and scale their projects while maintaining reproducibility and governance. Customer success stories from organizations like Dow, PING, and the City of Reykjavík highlight the impact of Posit-powered applications in real-world environments. Posit also fosters a thriving community, offering resources, events, champions programs, and extensive documentation. Built by data scientists for data scientists, Posit helps teams adopt open-source data science practices at enterprise scale.
API Access
Has API
API Access
Has API
Integrations
Apache Spark
Coginiti
Jupyter Notebook
Oracle Cloud Infrastructure
Positron
Python
R
RStudio
Snowflake Cortex AI
Visual Studio Code
Integrations
Apache Spark
Coginiti
Jupyter Notebook
Oracle Cloud Infrastructure
Positron
Python
R
RStudio
Snowflake Cortex AI
Visual Studio Code
Pricing Details
$0.0085 per GB per hour
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
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/big-data/data-flow/
Vendor Details
Company Name
Posit
Founded
2009
Country
United States
Website
posit.co
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
IDE
Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Source Code Management
Access Controls/Permissions
Bug Tracking
Build Automation
Change Management
Code Review
Collaboration
Continuous Integration
Repository Management
Version Control
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
