Stardog Description
Data engineers and scientists can be 95% better at their jobs with ready access to the most flexible semantic layer, explainable AI and reusable data modelling. They can create and expand semantic models, understand data interrelationships, and run federated query to speed up time to insight. Stardog's graph data virtualization and high performance graph database are the best available -- at a price that is up to 57x less than competitors -- to connect any data source, warehouse, or enterprise data lakehouse without copying or moving data. Scale users and use cases at a lower infrastructure cost. Stardog's intelligent inference engine applies expert knowledge dynamically at query times to uncover hidden patterns and unexpected insights in relationships that lead to better data-informed business decisions and outcomes.
Stardog Alternatives
AnalyticsCreator
Accelerate your data journey with AnalyticsCreator. Automate the design, development, and deployment of modern data architectures, including dimensional models, data marts, and data vaults or a combination of modeling techniques.
Seamlessly integrate with leading platforms like Microsoft Fabric, Power BI, Snowflake, Tableau, and Azure Synapse and more.
Experience streamlined development with automated documentation, lineage tracking, and schema evolution. Our intelligent metadata engine empowers rapid prototyping and deployment of analytics and data solutions.
Reduce time-consuming manual tasks, allowing you to focus on data-driven insights and business outcomes. AnalyticsCreator supports agile methodologies and modern data engineering workflows, including CI/CD.
Let AnalyticsCreator handle the complexities of data modeling and transformation, enabling you to unlock the full potential of your data
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Google Cloud BigQuery
BigQuery 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.
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Graph Engine
Graph Engine (GE) is a powerful distributed in-memory data processing platform that relies on a strongly-typed RAM storage system paired with a versatile distributed computation engine. This RAM store functions as a high-performance key-value store that is accessible globally across a cluster of machines. By leveraging this RAM store, GE facilitates rapid random data access over extensive distributed datasets. Its ability to perform swift data exploration and execute distributed parallel computations positions GE as an ideal solution for processing large graphs. The engine effectively accommodates both low-latency online query processing and high-throughput offline analytics for graphs containing billions of nodes. Efficient data processing emphasizes the importance of schema, as strongly-typed data models are vital for optimizing storage, accelerating data retrieval, and ensuring clear data semantics. GE excels in the management of billions of runtime objects, regardless of their size, demonstrating remarkable efficiency. Even minor variations in object count can significantly impact performance, underscoring the importance of every byte. Moreover, GE offers rapid memory allocation and reallocation, achieving impressive memory utilization ratios that further enhance its capabilities. This makes GE not only efficient but also an invaluable tool for developers and data scientists working with large-scale data environments.
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Amazon Neptune
Amazon Neptune is an efficient and dependable graph database service that is fully managed, facilitating the development and operation of applications that handle intricate, interconnected datasets. At its heart, Amazon Neptune features a specialized, high-performance database engine tailored for the storage of billions of relationships while enabling rapid querying with latency measured in milliseconds. It accommodates widely-used graph models, including Property Graph and W3C's RDF, along with their associated query languages, Apache TinkerPop Gremlin and SPARQL, which simplifies the process of crafting queries for navigating complex datasets. This service supports various graph-based applications, including recommendation systems, fraud detection mechanisms, knowledge graphs, drug discovery initiatives, and enhanced network security protocols. With a proactive approach, it enables the detection and analysis of IT infrastructure threats through a multi-layered security framework. Furthermore, it allows users to visualize their entire infrastructure to effectively plan, forecast, and address potential risks, while also enabling the creation of graph queries for the near-real-time identification of fraudulent patterns in financial and purchasing activities, thereby enhancing overall security and efficiency.
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Pricing
Pricing Starts At:
$0
Pricing Information:
Options for Free, Essentials, Premium, and Enterprise
Free Version:
Yes
Free Trial:
Yes
Company Details
Company:
Stardog Union
Year Founded:
2006
Headquarters:
United States
Website:
www.stardog.com
Media
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Product Details
Platforms
Web-Based
Windows
Mac
Linux
On-Premises
Types of Training
Training Docs
Live Training (Online)
Webinars
Customer Support
Business Hours
Online Support
Stardog Features and Options
Data Management Software
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
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