Release notes

  • 5
    April 2017
    MongoDB 3.4 read-only views, plus collation, advanced indexing, and sharding parameters
    Hackolade continues to demonstrate its close integration with MongoDB by introducing modeling of read-only views in its Entity Relationship Diagrams.
    Hackolade also support all the new properties introduced by MongoDB with collation. Finally, MongoDB having included new indexing and sharding options, they can be maintained in Hackolade properties.
  • 21
    March 2017
    Data modeling for Couchbase schemas
    After pioneering data modeling for MongoDB and DynamoDB, Hackolade extends its coverage of leading NoSQL and multi-model databases with support for Couchbase Server and Mobile.
    With today's release, Hackolade now lets data modelers design and document for Couchbase, a leading NoSQL database used by many large customers such as Amadeus, Cisco, DirecTV, GE, LinkedIn, Marriott, PayPal, United, Verizon, Viber, and many others.
    Learn more
  • 27
    January 2017
    Data dictionary of reusable objects
    To facilitate the work of data modelers, Hackolade introduces a handy feature: the ability to define once object definitions that can be re-used in multiple places.
    A library of definitions standardizes content and insures consistency. It also simplifies the work of data modelers so maintenance can be performed in one place and be automatically propagated to all places where the definition is referenced.
    Definitions can be maintained at 2 levels: model or collections. The possibility to create external definitions is not available yet, but will be introduced soon.
    Ohhh, and BTW, we also added the reverse-engineering of Microsoft SQL Server Data Definition Language files (DDLs)!
  • 1
    December 2016
    Data modeling for DynamoDB schemas
    At AWS re-invent in Las Vegas, Hackolade releases its visual modeling software for DynamoDB, expanding its support for NoSQL and multimodel databases. After an initial version for MongoDB released over the summer, Hackolade has kept adding features to the core modeling product, based on customer feedback. With today's release, Hackolade now lets data modelers design and document for DynamoDB, a cloud database fully managed by Amazon Web Services, and used by many large customers such as, Kindle, Netflix, BMW, Expedia, Nordstrom, EA, Shazam, and many others.
  • 7
    November 2016
    Re-architecture to allow for multiple database 'targets'
    So far, Hackolade has been a modeling tool for MongoDB only. But the market has been asking us to adapt the application to other databases. The first one scheduled is Amazon DynamoDB, and many others will come after that: Oracle 12c with JSON support, Oracle for NoSQL, Cassandra, Couchbase, etc... (not necessarily in that order...) In the meantime, we took the opportunity to allow support for plain JSON (not attached to any database...) Hackolade is now also a visual JSON Schema editor!
  • 25
    October 2016
    Reverse-Engineering of MySQL Data Definition Language files
    After Oracle earlier this month, Hackolade adds support for MySQL DDL files so they can be reverse-engineered into a new model. Additionally, we introduce with this version the orthogonal distribution of collection boxes in an ERD diagram. This will facilitate the visualisation of reverse-engineered models, whether from Oracle, MySQL, or MongoDB. Finally, you may now add attributes with a contextual menu, directly from the Object Browser.
  • 4
    October 2016
    Ease migration from SQL with denormalization suggestions
    Based on customer feedback and requests, Hackolade helps with the migration from SQL. You can now reverse-engineer a Data Definition Language (DDL) file from Oracle into a Hackolade model. Then you can apply denormalization functions for embedding and referencing data, and truly leverage the power and benefits of nested objects in JSON and MongoDB.
  • 3
    September 2016
    HTML documentation and model comparison
    Hackolade introduces today the often requested feature to generate HTML documentation, letting users click through model collections, fields, and relationships. A user can also compare different versions of a model, in the case of round-trip enginering for example. Side-by-side windows highlight the difference so the user quickly sees the evolution of the schema.
  • 31
    July 2016
    Hackolade supports MongoDB's authentication and encryption protocols
    Your instance of MongoDB can be protected with username/password, LDAP, or Kerberos authentication. You may also encrypt transmissions with X.509 TLS/SSL. When you connect with Hackolade to perform the reverse-engineering of your instance, your data remains protected through the process of statistical sampling of collections and the resulting schema inference.
  • 28
    June 2016
    Hackolade Launches Visual Data Modeling Tool for Non-Relational Databases
    NEW YORK – Hackolade, developer of powerful visual tools to smooth the onboarding of NoSQL technology, launched today at MongoDB World 2016, the first visual data modeling tool designed to leverage the power of JSON documents and MongoDB.
  • 21
    June 2016
    Last beta released
    Plenty of new features included, ahead of next week's launch at MongoDB World in New York
  • 8
    June 2016
    First Hackolade beta version released
    Give it a try! We're interested in getting real users' feedback so we can continue to improve the product. Go ahead and download Hackolade. There is no risk, no obligation, and no credit card required.
  • 1
    June 2016
    Launch of new website
    The new version is released today, ahead of the product launch at MongoDB World in New York on June 28. Along with more details about product features and benefits, we're launching the support infrastructure with knowledge base, community forum, and ticketing system. We will continue to enrich the site with relevant content.