Hackolade is the pioneer for data modeling of NoSQL and multi-model databases, providing a comprehensive suite of physical data modeling tools for various NoSQL databases. It also applies its visual design to big data serialization formats and protocols, and REST APIs.

What does Polyglot Data Modeling mean?

Polyglot Data Modeling is data modeling applied to polyglot persistence and communication. It is a sort of logical data model which also allows complex data types and denormalization, to generate schemas for a variety of modern technologies.

What is data modeling for NoSQL?

To leverage the strengths of NoSQL technology , you are encouraged to denormalize and embrace a query-driven approach to your schema design in order to match the data access patterns. This is as opposed to the traditional application-agnostic approach of normalized relational databases.

What technology targets are supported by Hackolade?

NoSQL databases, big data storage formats, REST APIs, and JSON in RDBMS: MongoDB , Neo4J , Cassandra , BigQuery, Couchbase, Cosmos DB, DynamoDB, Firebase, Firestore, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, MarkLogic, Oracle, PostgreSQL, Redshift, ScyllaDB, SQL Server, Snowflake, Synapse, TinkerPop, etc.. and also Avro , Joi Schema, JSON Schema, Parquet, Swagger and OpenAPI , plus is rapidly adding new targets.

Polyglot Data Modeling

for NoSQL databases, storage formats, REST APIs, and JSON in RDBMS

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Visual schema design for data-at-rest and data-in-motion

NoSQL
Document

NoSQL
Columnar

NoSQL
Property Graph

TinkerPop w/ Gremlin API

JanusGraph

Neptune w/
Gremlin API

DSE Graph

TigerGraph

Semantic
Knowledge Graph

NoSQL
Key-Value

NoSQL
Multi-model

JSON in
RDBMS

Big Data
Analytics

Storage
Formats

Catalogs &
Registries

EventBridge
Schema Registry

Glue
Data Catalog

Confluent Kafka Schema Registry

Azure EventHub Schema Registry

HortonWorks Schema Registry

Protocols
REST APIs

Serialization
IDLs

NoSQL
Document

NoSQL
Columnar

NoSQL
Property Graph

TinkerPop w/ Gremlin API

JanusGraph

Neptune w/
Gremlin API

DSE Graph

TigerGraph

Semantic
Knowledge Graph

AllegroGraph

GraphDB

Stardog

Trusted by renowned brands worldwide

Schemas are everywhere!

Design schemas and publish in 3 easy steps

Design high-performing
data structures

Design your tables, collections, and graphs, attributes and their data types, descriptions and constraints, using a visual representation of nested structures.

Polyglot data modeling

Optimize with dynamic schema evolution during agile cycles

Link entities logically. Keep track of implicit relationships and denormalization. For each database or protocol technology, add the required metadata. Or reverse-engineer from dev or prod instances.

Schema design features

Publish your schemas
and documentation

Generate MongoDB validator, CQL, HQL, DDLs for relational, REST APIs, JSON Schema, Avro, Parquet, etc… Plus human-readable documentation in HTML, Markdown, or PDF.

Data modeling use cases

Our benefits

Leverage the power of visual data modeling

Data structures and relationships should not be hidden inside application code. They should be available to teams for a 360˚ view of the system landscape. A picture is worth a 1000 words, and our unique handling of Entity Relationship Diagrams helps visualize deeply nested structures of modern data.

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

Evaluate alternatives, recognize potential hurdles early to reduce rework later. Facilitate troubleshooting and evolution to respond to growth and customer needs. Achieve greater transparency and control, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise.

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.

Powerful tool to design, document, and
communicate data models and schemas

Friendly user interface

Reverse- and forward-engineering
of data models

Visual data model navigation

Generate target-specific artifacts:
schemas, DDLs, scripts

Hierarchical schema diagram editing

Produce human-readable documentation
in HTML, Markdown, or PDF format

Specifically designed for nesting of
sub-objects and polymorphism

Runs on Windows, MacOS, Linux

What our customers say

“

Absolutely superb! This is how software should be! Please pass on my applause for the team. You guys seem to be really on your game. Seriously, well done!

Graeme Buntin, CTO, Wellwise

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