Hackolade Studio Data Modeler is the leading solution for data modeling and schema design of SQL and NoSQL databases, APIs, and storage formats. Hackolade is the pioneer in Polyglot Data Modeling, i.e. data modeling for polyglot data persistence and data exchanges. It promotes Metadata-as-Code to make business sense of technical data structures, and advocates Domain-Driven Data Modeling.

The tool provides native support for:

Relational RDBMS: SQL Server/Azure SQL,, DB2, MariaDB, MySQL, Oracle and Autonomous, PostgreSQL, YugabyteDB
Big Data analytics: BigQuery, Databricks, Delta Lake, Hive and HDInsight, HBase, Redshift, Snowflake, Synapse, Teradata
Document databases: MongoDB, Oracle JSON Collections, Amazon DocumentDB, Azure Cosmos DB - MongoDB vCore, Couchbase, Cosmos DB, Elasticsearch, MarkLogic
Column-oriented: HBase, Cassandra, DataStax, ScyllaDB
Key-value stores: DynamoDB
Graph databases: Neo4j, JanusGraph, Amazon Neptune, TinkerPop/Gremlin
Multi-model: ArangoDB, MarkLogic, Azure Cosmos DB for NoSQL API, MongoDB API, and Gremlin API
APIs: Swagger/OpenAPI, GraphQL
Storage formats: JSON Schema, Avro schema, Parquet, Protobuf, YAML
Data catalogs: AWS Glue Data Catalog, Databricks Unity Catalog
Schema registries: Confluent Schema Registry, Azure EventHubs, AWS EventBridge, Pulsar Schema Registry
Cloud storage: AWS S3, Azure Blob Storage, Azure Data Lake Storage, Google Cloud Storage
Git repository providers: GitHub, GitLab, Bitbucket, Azure DevOps Repos
Metadata Management suites, data dictionaries, enterprise architecture: Collibra, Bizzdesign

Go to https://studio.hackolade.com for a frictionless trial experience: No credit card. No registration. No download. Runs in browser. No cookies. Local storage of models. Security first.

Hackolade Studio is a comprehensive data modeling solution designed to help organizations visualize, design, and manage their enterprise data assets with ease. It streamlines the creation and deployment of high-quality data models, enabling businesses to efficiently structure and standardize their data across various databases and data exchanges. Hackolade Studio automates key design processes, ensuring alignment with business needs, preserving data quality, and simplifying integration with other systems. Its strong visualization and model comparison features, along with support for technical and governance integration, enhance the understanding of the context and meaning of data.

With support for multiple database platforms and data exchanges, Hackolade Studio offers robust tooling for schema design plus forward- and reverse-engineering. Whether working with NoSQL databases, cloud platforms, or traditional RDBMS environments, Hackolade Studio helps users build and maintain scalable, well-documented models for transactional databases, data lakes, warehouses, APIs, and more. It also promotes collaborative data modeling, making it easier to manage cloud migrations and digital transformations, and keep teams aligned.

Key features of Hackolade Studio include:

A flexible and intuitive interface for conceptual, logical, and physical data modeling.
Capabilities for Entity-Relationship diagrams (ERD), graph, dimensional, JSON, and Data Vault modeling.
Advanced data model comparison, synchronization, and change tracking.
Creation of artifacts in a variety of formats (forward-engineering): DDLs, schemas, scripts.
Automatic generation of visual models from existing databases with reverse-engineering.
Native support for Git and Git providers: GitHub, Azure DevOps Repos, Bitbucket, and GitLab.
Distributed model repository with tools for collaboration, versioning, branching, change tracking, conflict resolution, peer review processes.
Powerful Command-Line Interface for easy integration with DevOps CI/CD pipelines.
Detailed reporting and options for publishing models and metadata online.
Wide-ranging support for different DBMS types, including major SQL, NoSQL and cloud databases.
Integration with external enterprise architecture and data governance platforms.

Hackolade Studio provides the tools and features organizations need to ensure efficient, collaborative, and consistent management of their data environments.

Hackolade Studio Data ModelingHackolade

Hackolade Studio Data Modeling

Hackolade

Hackolade Studio Data Modeling

Hackolade

Hackolade Studio Data Modeling
Hackolade