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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.

What is Data Warehouse Studio?

Data Warehouse Studio enables software architects, data modelers, and business analysts to take an active part in the effective realization of data warehouse and business intelligence projects. With its intuitive graphical interface, these experts can define business rules, data mappings, coding standards, and a variety of design elements. After inputting these essential requirements and technical details into Data Warehouse Studio’s central repository, the platform can automatically generate 99-100% of the required SQL and ETL code, eliminating the need for manual coding efforts. In fact, for most projects, it completely abolishes the necessity for hand-coding SQL or ETL tasks. Serving as a design-time solution, Data Warehouse Studio provides a comprehensive platform that enables all project participants to effectively document requirements and technical specifications. This collaborative aspect not only fosters improved communication among team members but also simplifies the entire development process, ultimately leading to more successful project outcomes. Moreover, by streamlining these workflows, it allows teams to focus more on strategic analysis and decision-making.

Media

Media

Integrations Supported

Apache Atlas
Apache Cassandra
Apache CouchDB
Apache Hive
Azure Databricks
Azure DevOps
Collibra
Couchbase
Delta Lake
JanusGraph
MarkLogic
Neo4j
Oracle Database
OrientDB
PostgreSQL
SQL Server
Stardog
SwaggerHub
Teradata VantageCloud
TigerGraph

Integrations Supported

Apache Atlas
Apache Cassandra
Apache CouchDB
Apache Hive
Azure Databricks
Azure DevOps
Collibra
Couchbase
Delta Lake
JanusGraph
MarkLogic
Neo4j
Oracle Database
OrientDB
PostgreSQL
SQL Server
Stardog
SwaggerHub
Teradata VantageCloud
TigerGraph

API Availability

Has API

API Availability

Has API

Pricing Information

€175 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Hackolade

Date Founded

2016

Company Location

Belgium

Company Website

hackolade.com

Company Facts

Organization Name

Gamma Systems

Date Founded

2001

Company Location

United States

Company Website

www.gamma-sys.com/products/gamma-data-warehouse-studio/

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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