Best Data Modeling Tools for Databricks Data Intelligence Platform
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Compare the Top Data Modeling Tools that integrate with Databricks Data Intelligence Platform as of July 2025
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This a list of Data Modeling tools that integrate with Databricks Data Intelligence Platform. Use the filters on the left to add additional filters for products that have integrations with Databricks Data Intelligence Platform. View the products that work with Databricks Data Intelligence Platform in the table below.
What are Data Modeling Tools for Databricks Data Intelligence Platform?
Data modeling tools are software tools that help organizations design, visualize, and manage data structures, relationships, and flows within databases and data systems. These tools enable data architects and engineers to create conceptual, logical, and physical data models that ensure data is organized in a way that is efficient, scalable, and aligned with business needs. Data modeling tools also provide features for defining data attributes, establishing relationships between entities, and ensuring data integrity through constraints. By automating aspects of the design and validation process, these tools help prevent errors and inconsistencies in database structures. They are essential for businesses that need to manage complex datasets and maintain data consistency across multiple platforms. Compare and read user reviews of the best Data Modeling tools for Databricks Data Intelligence Platform currently available using the table below. This list is updated regularly.
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1
Kubit
Kubit
Your data, your insights—no third-party ownership or black-box analytics. Kubit is the leading Customer Journey Analytics platform for enterprises, enabling self-service insights, rapid decisions, and full transparency—without engineering dependencies or vendor lock-in. Unlike traditional tools, Kubit eliminates data silos, letting teams analyze customer behavior directly from Snowflake, BigQuery, or Databricks—no ETL or forced extraction needed. With built-in funnel, path, retention, and cohort analysis, Kubit empowers product teams with fast, exploratory analytics to detect anomalies, surface trends, and drive engagement—without compromise. Enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its agility, reliability, and customer-first approach. Learn more at kubit.ai. -
2
Hackolade
Hackolade
Hackolade Studio is a powerful data modeling platform that supports a wide range of technologies including relational SQL and NoSQL databases, cloud data warehouses, APIs, streaming platforms, and data exchange formats. Designed for modern data architecture, it enables users to visually design, document, and evolve schemas across systems like Oracle, PostgreSQL, Databricks, Snowflake, MongoDB, Cassandra, DynamoDB, Neo4j, Kafka (with Confluent Schema Registry), OpenAPI, GraphQL, and more. Hackolade Studio offers forward and reverse engineering, schema versioning, model validation, and integration with metadata catalogs such as Unity Catalog and Collibra. It empowers data architects, engineers, and governance teams to collaborate on consistent, governed, and scalable data models. Whether building data products, managing API contracts, or ensuring regulatory compliance, Hackolade Studio streamlines the process in one unified interface.Starting Price: €175 per month -
3
dbt
dbt Labs
Version control, quality assurance, documentation and modularity allow data teams to collaborate like software engineering teams. Analytics errors should be treated with the same level of urgency as bugs in a production product. Much of an analytic workflow is manual. We believe workflows should be built to execute with a single command. Data teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows. Built-in CI/CD ensures that changes to data models move appropriately through development, staging, and production environments. dbt Cloud also provides guaranteed uptime and custom SLAs.Starting Price: $50 per user per month -
4
5X
5X
5X is an all-in-one data platform that provides everything you need to centralize, clean, model, and analyze your data. Designed to simplify data management, 5X offers seamless integration with over 500 data sources, ensuring uninterrupted data movement across all your systems with pre-built and custom connectors. The platform encompasses ingestion, warehousing, modeling, orchestration, and business intelligence, all rendered in an easy-to-use interface. 5X supports various data movements, including SaaS apps, databases, ERPs, and files, automatically and securely transferring data to data warehouses and lakes. With enterprise-grade security, 5X encrypts data at the source, identifying personally identifiable information and encrypting data at a column level. The platform is designed to reduce the total cost of ownership by 30% compared to building your own platform, enhancing productivity with a single interface to build end-to-end data pipelines.Starting Price: $350 per month -
5
Querona
YouNeedIT
We make BI & Big Data analytics work easier and faster. Our goal is to empower business users and make always-busy business and heavily loaded BI specialists less dependent on each other when solving data-driven business problems. If you have ever experienced a lack of data you needed, time to consuming report generation or long queue to your BI expert, consider Querona. Querona uses a built-in Big Data engine to handle growing data volumes. Repeatable queries can be cached or calculated in advance. Optimization needs less effort as Querona automatically suggests query improvements. Querona empowers business analysts and data scientists by putting self-service in their hands. They can easily discover and prototype data models, add new data sources, experiment with query optimization and dig in raw data. Less IT is needed. Now users can get live data no matter where it is stored. If databases are too busy to be queried live, Querona will cache the data. -
6
RestApp
RestApp
RestApp is a No Code Data Activation platform that empowers anyone with an all-in-one solution to connect, model, and sync any data with his favorite tools. RestApp enables Data & Ops teams to activate data in minutes with No-Code by: - Connecting with your favorite databases and business apps - Modeling your data with drag-and-drop SQL, NoSQL and Python functions and then easily creating and sharing your queries with your teammates - Syncing automatically your data with your tools. With RestApp, you are notably able by using our templates to: - Computing your main financial KPIs: churn rate, MRR, ARR, ACV, ARPU, LVT - Computing your customers’ lead scoring - Generate automatic cohort analysisStarting Price: Free -
7
Apache Spark
Apache Software Foundation
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.
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