Question 1

What is Hackolade?

Accepted Answer

Hackolade is the pioneer for polyglot data modeling, i.e. data modeling for polyglot data persistence and data exchanges.  It applies its visual design to all families of NoSQL databases, storage formats, REST APIs, and JSON in RDBMS.  Hackolade also enables Metadata-as-Code so organizations can co-locate data models and schemas with application code, and further integrate with DevOps CI/CD pipelines.

Question 2

What does Polyglot Data Modeling mean?

Accepted Answer

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.

Question 3

What is Metadata-as-Code?

Accepted Answer

Metada-as-Code is an approach to data modeling operations to orchestrate the synchronization of technical schemas with business-facing data catalogs and dictionaries. It leverages DevOps, GitOps, and DataOps to synchronize the deployment of evolving data structures in databases and data exchanges with the publication of metadata to the business community.  Native integration with Git repositories  provide state-of-the-art collaboration, versioning, branching, conflict resolution, peer review workflows, change tracking and traceability.  Oraganizations co-locate data models and schemas with application code, and further integrate with DevOps CI/CD pipelines.

Question 4

What is data modeling for NoSQL?

Accepted Answer

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.

Question 5

What technology targets are supported by Hackolade?

Accepted Answer

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

Polyglot Data Modeling

Make business sense of technical structures with Metadata-as-Code
and visual schema design for data storage and data exchanges

Schemas are everywhere!

Design schemas and publish in 3 easy steps

Try Hackolade Free for 14 Days

Polyglot Data Modeling

Make business sense of technical structures with Metadata-as-Code and visual schema design for data storage and data exchanges

Schemas are everywhere!

Design schemas and publish in 3 easy steps

Try Hackolade Free for 14 Days

Make business sense of technical structures with Metadata-as-Code
and visual schema design for data storage and data exchanges