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Neo4j is one of the popular Graph Databases and Cypher Query Language (CQL). Neo4j is written in Java Language. Neo4j is the first and dominant mover in the graph market.
Virtual Machine Deployment No SQL Data Model
• Data Lake Integrator materializes graphs from Apache Hadoop, Hive and Spark • Data Importer for fast data ingestion • Native graph storage with Native GPE (Graph Processing Engine) • Real-time insights − Neo4j provides results based on real-time data • Built-in Neo4j Browser web application • Full ACID (Atomicity, Consistency, Isolation, and Durability) rules
• Open source
• Open source
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
What is best?
• Data Lake Integrator materializes graphs from Apache Hadoop, Hive and Spark • Data Importer for fast data ingestion • Native graph storage with Native GPE (Graph Processing Engine) • Real-time insights − Neo4j provides results based on real-time data
What are the benefits?
• High availability: Highly available for large enterprise real-time applications with transactional guarantees • Easy retrieval: Easily traverse/navigate connected data, faster when compared to other databases • Staggering loading speed of huge data sizes, with very low memory footprint • Neo4j CQL query language commands are in humane readable format and very easy to learn
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Neo4j is the world's leading open source Graph Database which is developed using Java technology; it is highly scalable and schema-free (NoSQL).
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Neo4j is one of the popular Graph Databases and Cypher Query Language (CQL). Neo4j is written in Java Language. Neo4j is the first and dominant mover in the graph market. The company’s goal is to bring graph technology into the mainstream by connecting the community, customers, partners and even competitors as they adopt graph best practices everywhere. Neo4j follows a data model named native property graph model. The graph contains nodes (entities) and these nodes are connected with each other (depicted by relationships). Nodes and relationships store data in key-value pairs known as properties. In Neo4j, there is no need to follow a fixed schema. Add or remove properties as per requirement. It also provides schema constraints. Neo4j provides a powerful declarative query language known as Cypher. It uses ASCII-art for depicting graphs. Cypher is easy to learn and can be used to create and retrieve relations between data without using the complex queries like Joins. Neo4j is a perfect choice when the query pattern is about finding the relationships between entities. Neo4j delivers the lightning-fast read and write performance users need, while still protecting data integrity. It is the only enterprise-strength graph database that combines native graph storage, scalable architecture optimized for speed, and ACID compliance to ensure predictability of relationship-based queries. Index-free adjacency shortens read time and gets even better as data complexity grows. Get reliably fast transactions with ultra-high parallelized throughput even as your data grows. Neo4j is the only graph database recognized by key analysts (Forrester, Gartner and others) to have enough production applications to warrant inclusion in reports.
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