Visual Data Modeling for Neo4j
Hackolade:
-dynamically forward-engineers Cypher scripts as the user visually builds a Neo4j data model
-reverse-engineers existing Neo4j instances to derive the schema, so a data modeler or -information architect can enrich the model with descriptions, metadata, and constraints
-generates handy HTML documentation of the database structure to serve as a platform for a productive dialog between application stakeholders
Data modeling is a best practice to help ensure that a graph-based application will --evolve, scale, and perform well. The software is user-friendly and simple to use, yet provides powerful visuals and graphic data modeling to smooth the onboarding of NoSQL technology.
Hackolade helps functional analysts, designers, architects, and DBAs involved with NoSQL technology achieve greater transparency and control, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise. Hackolade is the pioneer for data modeling of NoSQL databases, big data storage formats, REST APIs, and JSON in RDBMS.
Hackolade is the pioneer for data modeling of NoSQL databases and JSON in RDBMS. It is the only data modeling tool for Neo4j, MongoDB, Cassandra, ArangoDB, Couchbase, Cosmos DB, DynamoDB, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, MarkLogic, Snowflake, SQL Server, Synapse, TinkerPop, etc. It also applies its visual design to Avro, JSON Schema, Parquet, Swagger and OpenAPI, and is rapidly adding new targets for its physical data modeling engine.
The software helps functional analysts, designers, architects, and DBAs involved with NoSQL technology achieve greater transparency and control, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise.
