Best Data Modeling Tools for Teradata Vantage

Find and compare the best Data Modeling tools for Teradata Vantage in 2024

Use the comparison tool below to compare the top Data Modeling tools for Teradata Vantage on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    DBeaver Reviews
    Multi-platform database tool that is free for database administrators, analysts, developers, and anyone who needs to work with databases. All popular databases supported: MySQL, PostgreSQL SQLite, Oracle and SQLite. The format configuration editor was also added. Extra configuration for filter dialog (performance). For small fetch sizes, sort by column as fixed. Support for case-insensitive filters was added. Plaintext view now supports top/bottom dividers. Data editor was updated to fix conflicts between column names and alias names. Multiple rows were fixed by the Duplicate Row(s) command. The context menu was restored to the Edit sub-menu. Columns were auto-sized. Dictionary viewer was updated (for read-only connections). Configurable support for current/selected row highlighting was added
  • 2
    Hackolade Reviews

    Hackolade

    Hackolade

    €100 per month
    Hackolade is the pioneer for data modeling of NoSQL and multi-model databases, providing a comprehensive suite of data modeling tools for various NoSQL databases and APIs. Hackolade is the only data modeling tool for MongoDB, Neo4j, Cassandra, ArangoDB, BigQuery, Couchbase, Cosmos DB, Databricks, DocumentDB, DynamoDB, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, Firebase/Firestore, JanusGraph, MariaDB, MarkLogic, MySQL, Oracle, PostgreSQL, Redshift, ScyllaDB, Snowflake, SQL Server, Synapse, TinkerPop, YugabyteDB, etc. It also applies its visual design to Avro, JSON Schema, Parquet, Protobuf, Swagger and OpenAPI, and is rapidly adding new targets for its physical data modeling engine. The software is user-friendly and simple to use yet provides powerful visuals and graphic data modeling to smooth the onboarding of NoSQL technology. Its software tools help functional analysts, designers, architects, and DBAs involved with NoSQL technology achieve greater transparency and control, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise.
  • 3
    Querona Reviews
    We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.
  • 4
    IBM InfoSphere Data Architect Reviews
    Data design software that allows you to model, link, standardize, and integrate distributed data assets across your enterprise. IBM InfoSphere®, Data Architect is a collaborative enterprise-level data modeling and design tool that can simplify and accelerate integration design in business intelligence, master data management, and service-oriented architecture initiatives. InfoSphere Data Architect allows you to collaborate with users at all stages of the data design process: from project management to application development to data design. This tool can help you align processes, applications, and data architectures. Simple warehouse design, dimensional modelling and change management tasks reduce development time. You also have the tools to design and manage warehouses using an enterprise logical model. Column-organized tables that are time stamped and column-organized provide a better understanding of data assets, which can help increase efficiency while reducing time to market.
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