Neo4j partner in India- Goldstone Technologies

Neo4j Graph Data Science (GDS) Library uses the relationships and network structures in data to help data scientists address complex system dynamics and group behaviour questions.
Businesses use these insights to make valuable predictions, such as pinpointing interactions that indicate fraud, identifying similar entities or individuals, finding the most influential elements in inpatient or customer journeys, and how to minimize the impact of IT, phone or other network outages.
Graph algorithms provide unsupervised machine learning (ML) methods and heuristics that learn and describe the topology of your graph. The GDS Library includes hardened graph algorithms with enterprise features, like deterministic seeding for consistent results and reproducible ML workflows.

Neo4j Bloom is an easy-to-use graph exploration application for visually interacting with Neo4j graphs. Bloom gives graph novices and experts alike the ability to investigate and explore graph data from different business perspectives visually.
Bloom’s illustrative, codeless search-to-visualization design makes it the ideal interface for fostering communication between peers, managers and executives and sharing the work of graph development and analytics teams.
In graph data science, Bloom enables data scientists to follow their intuition in exploring interesting patterns, visualizing algorithm results and streamlining conversations with subject matter experts.
Cypher Query Language: With Neo4j, connections between data are stored – not computed at query time. Cypher is a powerful, graph-optimized query language that understands and takes advantage of these stored connections.
Cypher describes nodes, relationships and properties with text-based symbols, making queries of graph data easy to read and understand.
Cypher queries are usually simpler and easier to write than an equivalent SQL query. Because Neo4j doesn’t have tables, there are no JOINs to deal with, and a simple Cypher statement often takes the place of many lines of SQL code.

Neo4j offers several connectors to facilitate the use of Neo4j in your particular architecture and provides instructional support for some third-party and community tools.
The Neo4j Connector for Apache Spark is an integration tool that bidirectionally moves and reshapes data between the Neo4j graph platform and Apache Spark and opens up the vast Spark Ecosystem to Neo4j.
The Neo4j Connector for Apache Kafka integrates Neo4j with Apache Kafka event streams to serve as a data source, for instance, change data (CDC) or a sink to ingest any Kafka event into your graph. Download.
Neo4j Connector for BI is a JDBC-compliant driver for third-party tools like Tableau, Looker, TIBCO Spotfire Server and Microstrategy. It allows those tools to execute SQL queries directly against a Neo4j server.
Neo4j Labs Integrations. The Neo4j Labs team is continually innovating to bring useful graph technologies like the Neo4j ETL Tool and the GRANDstack development stack to the Neo4j community as a way to test the functionality and extensions of our product offerings. These Labs projects are supported via the online community.

Neo4j provides sophisticated tools designed to make it easier to develop graph applications.
Neo4j Desktop is a convenient, free desktop application that allows developers to easily create, work with, and manage local Neo4j databases. The free download includes a Neo4j Enterprise Edition license.
Neo4j Browser lets you interact with your Neo4j database with full CRUD capabilities. You can view results in several formats, including graph visualization mode (for results containing nodes and relationships), tabular and JSON.
Whether you are just learning about Neo4j or testing out ideas, Neo4j Sandbox is a great way to get your own free, cloud-based instance of Neo4j launched in about 30 seconds without downloading or installing anything.