Agile visual data modeling

for JSON, NoSQL, and multimodel databases

Schema design for:
Document: MongoDB, Couchbase, Cosmos DB, Elasticsearch, Google Firebase* and Firestore*
Graph: Neo4j, DataStax Enterprise**, OrientDB**
Key-Value: DynamoDB, Redis**
Column-oriented: Apache HBase, Cassandra*
Multi-model: MarkLogic*, Cosmos DB Gremlin-Table-Cassandra**
JSON APIs: documents, GraphQL**, Swagger 2**, OpenAPI 3**
JSON in RDBMS: MS SQL Server**, PostgreSQL**, Oracle 12C**, MySQL**

*: forward- and reverse-engineering coming soon
**: to be added soon

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Design and publish your NoSQL

database schemas in 3 easy steps

Design your tables, collections, and graphs

Define field/attribute names, types, descriptions, and constraints, using a visual tree diagram representation of the JSON Schema description

Link them logically

Keep track of implicit relationships and denormalization in an easy-to-read Entity Relationship diagram

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Publish documentation and validation scripts

Produce scripts to facilitate development, and generate human-readable docs in HTML or PDF.

Benefits

Leverage the power of visual data modeling software

Evaluate alternatives, recognize potential hurdles early to reduce rework later. Facilitate troubleshooting and evolution to respond to growth and customer needs.

Facilitate data governance

Compensate for the usual lack of documentation and native referential integrity of NoSQL databases.

Companies with privacy-related data in NoSQL databases can use Hackolade to demonstrate their proper handling with just a few steps: reverse-engineer their databases, identify attributes and fields concerned, generate documentation, then monitor daily that compliance is maintained.

Engage the dialog between analysts, architects, designers, developers, and DBAs

Data structures and relationships don't have to be buried in application code. They can also be available to the teams for a 360° view of the system landscape.

Powerful tool to document

your NoSQL schemas

Friendly user interface

Visual model navigation

Graphic collection tree view editing

Specifically designed for JSON and the nesting of sub-objects

Reverse- and forward engineering of data models

Generate Mongoose schemas, MongoDB validator, DynamoDB scripts, or Couchbase Ottoman schemas

Produce human-readable documentation in HTML or PDF format

Runs on Windows, Mac, Linux

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