Related Products
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About
Graph databases, part of Oracle’s converged database offering, eliminate the need to set up a separate database and move data. Analysts and developers can perform fraud detection in banking, find connections and link to data, and improve traceability in smart manufacturing, all while gaining enterprise-grade security, ease of data ingestion, and strong support for data workloads. Oracle Autonomous Database includes Graph Studio, with one-click provisioning, integrated tooling, and security. Graph Studio automates graph data management and simplifies modeling, analysis, and visualization across the graph analytics lifecycle. Oracle provides support for both property and RDF knowledge graphs, and simplifies the process of modeling relational data as graph structures. Interactive graph queries can run directly on graph data or in a high-performance in-memory graph server.
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About
PuppyGraph empowers you to seamlessly query one or multiple data stores as a unified graph model. Graph databases are expensive, take months to set up, and need a dedicated team. Traditional graph databases can take hours to run multi-hop queries and struggle beyond 100GB of data. A separate graph database complicates your architecture with brittle ETLs and inflates your total cost of ownership (TCO). Connect to any data source anywhere. Cross-cloud and cross-region graph analytics. No complex ETLs or data replication is required. PuppyGraph enables you to query your data as a graph by directly connecting to your data warehouses and lakes. This eliminates the need to build and maintain time-consuming ETL pipelines needed with a traditional graph database setup. No more waiting for data and failed ETL processes. PuppyGraph eradicates graph scalability issues by separating computation and storage.
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About
RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, letting the user query any past state of the graph just as easily as the present.
RecallGraph is a potential fit for scenarios where data is best represented as a network of vertices and edges (i.e., a graph) having the following characteristics:
1. Both vertices and edges can hold properties in the form of attribute/value pairs (equivalent to JSON objects).
2. Documents (vertices/edges) mutate within their lifespan (both in their individual attributes/values and in their relations with each other).
3. Past states of documents are as important as their present, necessitating retention and queryability of their change history.
Also see this blog post for an intro - https://blog.recallgraph.tech/never-lose-your-old-data-again.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Graph database and graph analytics solution for IT teams
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Audience
Individuals and companies searching for a solution to query their data as a graph
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Audience
Versioned-graph data store for companies or businesses
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/database/graph/
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Company InformationPuppyGraph
United States
www.puppygraph.com
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Company InformationRecallGraph
Founded: 2020
India
recallgraph.tech/
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Categories |
Categories |
Categories |
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GIS Features
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis
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Integrations
AWS Deep Learning AMIs
Amazon Redshift
Apache Iceberg
CFN Insight
Databricks Data Intelligence Platform
Dremio
Elasticsearch
Google Cloud BigQuery
Google Sheets
Linkurious
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Integrations
AWS Deep Learning AMIs
Amazon Redshift
Apache Iceberg
CFN Insight
Databricks Data Intelligence Platform
Dremio
Elasticsearch
Google Cloud BigQuery
Google Sheets
Linkurious
|
Integrations
AWS Deep Learning AMIs
Amazon Redshift
Apache Iceberg
CFN Insight
Databricks Data Intelligence Platform
Dremio
Elasticsearch
Google Cloud BigQuery
Google Sheets
Linkurious
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