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Description

Hackolade Studio is a comprehensive data modeling platform built for today’s complex and hybrid data ecosystems. Originally developed to address the lack of visual design tools for NoSQL databases, Hackolade has evolved into a multi-model solution that supports the broadest range of data technologies in the industry. The platform enables agile, iterative schema design and governance for both structured and semi-structured data, making it ideal for organizations working across traditional RDBMS, modern data warehouses, NoSQL stores, and streaming systems. Hackolade supports technologies such as Oracle, PostgreSQL, BigQuery, Databricks, Redshift, Snowflake, MongoDB, Cassandra, DynamoDB, Neo4j, Kafka (with Confluent Schema Registry), OpenAPI, GraphQL, and more. Beyond databases, Hackolade Studio offers robust capabilities for API modeling, supporting OpenAPI (Swagger) and GraphQL, as well as native modeling for data exchange formats like JSON Schema, Avro, Protobuf, Parquet, and YAML. It also integrates with metadata and data governance platforms like Unity Catalog and Collibra, making it a powerful enabler for organizations focused on data quality, lineage, and compliance. Key features include reverse and forward engineering, schema versioning, data type mapping, and team collaboration tools. Whether you're building data products, managing data contracts, or migrating between systems, Hackolade Studio provides a unified interface for modeling, documenting, and evolving your schemas. Hackolade is trusted by enterprises across finance, retail, healthcare, and telecom to align data architecture with real-world delivery. It’s an essential tool for teams implementing data mesh, data fabric, microservices, or API-first strategies.

Description

Speed up the process of designing, debugging, and delivering serverless applications! Utilize the most robust suite of DynamoDB tools, which includes an intuitive data browser that is aware of single-table setups, a design tool, a provisioning planner, a migration manager, and performance metrics. Effortlessly browse and manage tables that are tailored to your single-table formats. Organize your schemas and entities using the specialized single-table designer. Make informed decisions about provisioning based on actual historical data. Seamlessly upgrade and downgrade your data with the assistance of the migration manager. Gain insights into the performance of your DynamoDB table through comprehensive metrics at the levels of account, table, and single-table entity. Benefit from automated error detection across application, database, and service events. Establish alarms and alerts for application log events, performance metrics, and any events related to DynamoDB. Avoid being overwhelmed by alerts with intelligent notification dampening, and choose the resources you want to monitor using tags, regular expressions, or specified lists. This comprehensive toolkit ensures that you maintain optimal performance and efficiency in your serverless architecture.