Compare Oracle SQL Developer Data Modeler vs. Hackolade

Oracle SQL Developer Data Modeler

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Hackolade

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What is Oracle SQL Developer Data Modeler?

Oracle SQL Developer Data Modeler is a free graphical application that enhances productivity and simplifies data modeling tasks. This tool allows users to easily create, view, and adjust a range of models, such as logical, relational, physical, multi-dimensional, and data type models. It also supports both forward and reverse engineering processes, promoting collaboration with its integrated source code management features. Its flexibility enables deployment in both traditional and cloud environments. As a key component of the Oracle Database Tools suite, Oracle SQL Developer Data Modeler is recognized as a robust, standalone product that offers an extensive selection of data and database modeling resources. Moreover, users can access additional materials, including a general FAQ, on the Data Modeler homepage. This document seeks to provide clarity on various pricing-related questions that have surfaced in the community, offering valuable information to assist users in addressing these concerns effectively. By equipping users with this knowledge, the document aims to empower them in making informed decisions regarding their data modeling needs.

What is Hackolade?

Hackolade Studio is a next-generation data modeling solution designed for today’s diverse and hybrid data environments. Initially created to fill the gap in visual modeling tools for NoSQL, Hackolade has expanded into a multi-model platform supporting a wide range of modern technologies. It enables agile schema design and governance for both structured and semi-structured data, making it well-suited for teams working across relational databases, NoSQL stores, data warehouses, and streaming systems. Supported technologies include Azure SQL, Oracle, PostgreSQL, SQL Server, MongoDB, Cassandra, DynamoDB, Neo4j, BigQuery, Databricks, Redshift, Snowflake, and Kafka with Confluent Schema Registry, as well as OpenAPI and GraphQL for API modeling. Hackolade also offers support for data exchanges stored on AWS S3, Azure Blob Storage and ADLS Gen1 and Gen 2, for formats such as JSON Schema, Avro, Parquet, Protobuf, and YAML. It also integrates with metadata governance tools like Unity Catalog and Collibra. These integrations help organizations maintain compliance, manage lineage, and ensure high data quality across systems. Key features include forward and reverse engineering, schema versioning, type mapping, and collaborative model design. Whether modeling new systems, documenting legacy databases, or managing API data contracts, Hackolade provides a centralized, visual interface that helps teams design and evolve schemas efficiently. Enterprises in finance, healthcare, telecom, and retail use Hackolade to support initiatives in data governance, data mesh, API-first development, and cloud migration, making it a key tool in the modern data stack.