Best Data Catalog Software for Freelancers

Composable is an enterprise-grade DataOps platform designed for business users who want to build data-driven products and create data intelligence solutions. It can be used to design data-driven products that leverage disparate data sources, live streams, and event data, regardless of their format or structure. Composable offers a user-friendly, intuitive dataflow visual editor, built-in services that facilitate data engineering, as well as a composable architecture which allows abstraction and integration of any analytical or software approach. It is the best integrated development environment for discovering, managing, transforming, and analysing enterprise data.

PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery. Even if your team is already leveraging a large BI tool, like Tableau or Looker, or a hodge podge of SQL editors, PopSQL enables seamless collaboration between your SQL power users, junior analysts, and even your less technical stakeholders who are hungry for data insights. * Cross-platform compatibility with macOS, Windows, and Linux * Works with Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and more

DvSum, an AI-powered Data Intelligence platform, makes it remarkably easy for data and analytics teams discover, monitor, and govern data. DvSum uses powerful AI-enabled algorithms to automatically catalog, classify, and curate your data and make it available as a Data Catalog. DvSum Data Intelligence will help you propel your enterprise towards its digital- and analytics-enabled transformation goals.

Transparency, choice and control are key to trust. Organizations have the opportunity to leverage these moments to build trust, and provide more valuable experiences. People expect greater control over their data. We offer privacy and data governance automation to help organizations better understand and comply with regulatory requirements. We also operationalize risk mitigation to ensure transparency and choice for individuals. Your organization will be able to achieve data privacy compliance quicker and build trust. Our platform helps to break down silos between processes, workflows, teams, and people to operationalize regulatory compliance. It also allows for trusted data use. Building proactive privacy programs that are rooted in global best practice and not just reacting to individual regulations is possible. To drive mitigation and risk-based decision-making, gain visibility into unknown risks. Respect individual choice and integrate privacy and security by default in the data lifecycle.

Secure and manage the data lifecycle, from Edge to AI in any cloud or data centre. Operates on all major public clouds as well as the private cloud with a public experience everywhere. Integrates data management and analytics experiences across the entire data lifecycle. All environments are covered by security, compliance, migration, metadata management. Open source, extensible, and open to multiple data stores. Self-service analytics that is faster, safer, and easier to use. Self-service access to multi-function, integrated analytics on centrally managed business data. This allows for consistent experiences anywhere, whether it is in the cloud or hybrid. You can enjoy consistent data security, governance and lineage as well as deploying the cloud analytics services that business users need. This eliminates the need for shadow IT solutions.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.

Your metadata can be discovered, documented and managed. Dataedo has multiple automated metadata scanners. These scanners connect to different database technologies, extract data structures, and then load them into the metadata repository. In just a few clicks you can create a catalog of all your data and then describe each element. With business-friendly aliases, decrypt column and table names and provide meaning and purpose to data assets with descriptions and custom fields. To find out what data is stored in your data asset, you can use sample data. Make sure you have a better understanding of the data before you use it. Data profiling can help ensure high quality data. Data profiling allows everyone to have access to data knowledge. A lightweight, on-premises data catalogue can help you build data literacy, democratize data, and empower your employees to make better data use. A data catalog can help you increase data literacy.

iomete platform combines a powerful lakehouse with an advanced data catalog, SQL editor and BI, providing you with everything you need to become data-driven.

Decube is a comprehensive data management platform designed to help organizations manage their data observability, data catalog, and data governance needs. Our platform is designed to provide accurate, reliable, and timely data, enabling organizations to make better-informed decisions. Our data observability tools provide end-to-end visibility into data, making it easier for organizations to track data origin and flow across different systems and departments. With our real-time monitoring capabilities, organizations can detect data incidents quickly and reduce their impact on business operations. The data catalog component of our platform provides a centralized repository for all data assets, making it easier for organizations to manage and govern data usage and access. With our data classification tools, organizations can identify and manage sensitive data more effectively, ensuring compliance with data privacy regulations and policies. The data governance component of our platform provides robust access controls, enabling organizations to manage data access and usage effectively. Our tools also allow organizations to generate audit reports, track user activity, and demonstrate compliance with regulatory requirements.

Castor is a data catalogue that can be adopted by all employees. Get a complete overview of your data environment. Our powerful search engine makes it easy to find data quickly. Access data quickly and easily by joining a new data infrastructure. Expand beyond the traditional data catalog. Modern data teams have multiple data sources. Instead of building one truth, they build it. Castor's delightful and automated documentation makes it easy to trust data. In minutes, you can get a column-level view of your cross-system data lineage. To build trust in your data, get a bird's-eye view of your data pipelines. All you need to troubleshoot data issues, conduct impact analyses, and comply with GDPR is one tool. Optimize performance, cost compliance, security, and security for data. Our automated infrastructure monitoring system will keep your data stack healthy.

This is the essential tool for metadata management. In just 5 minutes, automatically populate your entire catalogue! Data Discovery. Data Discovery. Find the data you need from any part of your data ecosystem, starting with the database and ending with the specific values for each field. Automated documentation of your data from existing data storage. First-class support for unstructured and tabular data. Automated data governance actions. Data Lineage. Data Lineage. Explore your data lineage to understand where your data is coming from and where it is headed. View the impact analysis of changes. See all up- and downstream impacts. Visualize connections and relationships. API AccessNew. Tree Schema API allows you to manage your data lineage in code and keep your catalog current. Integrate Data Lineage in CICD pipelines Capture values & description within your code Analyze the impact of breaking changes. Data Dictionary. Know the key terms and lingo which drive your business. Define the context and scope of keywords

The new world of data means that you can spend more time looking at data than you are analyzing it. Azure Data Catalog is an enterprise-wide data catalog that makes data asset discovery easy. It is a fully managed service that allows you, from analyst to data scientist, to use it to register, enrich, discover and understand data sources. You can work with data using the tool you prefer. Data Catalog allows you to find the data you need, and you can use it in any tool you choose. Data Catalog ensures that your data is always available. It makes it easy to find and use the data you need, and provides an intuitive user interface. Increase adoption and continuous value generation across your data ecosystem. Data Catalog provides tips, tricks, as well as unwritten rules that can be used to create an environment where everyone can benefit. Data Catalog makes it possible for everyone to contribute. Democratize data asset discovery.

erwin Data Intelligence, or erwin DI, combines data literacy and data catalog capabilities to provide greater awareness and access to data assets, guidance on how to use them, and guardrails to ensure that data policies and best practice are followed. Automatically extract, transform, and feed metadata from a variety of data sources, operational process, and data models into one central catalog. It is then made accessible and understandable through role-based, contextual views. This allows stakeholders to make strategic decisions based upon accurate insights. erwin DI supports enterprise information governance, digital transformation, and any other effort that relies upon data to achieve positive outcomes. You can schedule ongoing scans of metadata from a wide range of data sources. You can easily map data elements from source and target, including data moving, and harmonize data integration across platforms. Data consumers can easily identify and find data that is relevant to their roles.

Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.

Fully managed and highly scalable metadata and data discovery service. New customers receive $300 in Google Cloud credits for free during the Free Trial. All customers receive up to 1 MiB business or ingested meta data storage and 1,000,000 API calls free of charge. A simple, but powerful faceted search interface allows you to pinpoint your data. Automatically sync technical metadata and create schematized tags to support business metadata. Cloud Data Loss Prevention integration allows you to automatically tag sensitive data. Access your data immediately and scale without the need to manage or set up infrastructure. With a powerful UI built with the same search technology that Gmail or API access, empower any member of the team to find and tag data. Data Catalog is fully managed so that you can easily start and scale. Cloud IAM integrations and Cloud DLP integrations allow you to enforce data security policies and ensure compliance.

Intelligent cataloging enables you to activate business-ready data for AI/analytics. It is supported by active metadata management and policy management. IBM Watson®, Knowledge Catalog is a data catalogue tool that powers intelligent, self service discovery of data, models, and more. The cloud-based enterprise metadata repository activates data for AI, machine learning (ML), and deep learning. Access, categorize, categorize, and share knowledge assets, data, and their relationships wherever they are located. To provide the right context and drive value across requirements such as regulatory compliance and data monetization, organize, define, and manage enterprise data. Active policy management and dynamic masking allow clients to trust you. This will help protect data and manage compliance and audit readiness. With intuitive dashboards and flows, you can consume and transform data at the speed and convenience of business. These flows can be shared with colleagues or analytics tools.

Data intelligence can transform data chaos into data value. Disjointed data assets can be connected, discovered, enriched, and orchestrated to provide actionable business insights at an enterprise scale. SAP Data Intelligence provides a comprehensive data management solution. It is the data orchestration layer within SAP's Business Technology Platform. It transforms distributed data into vital data insights and delivers innovation at scale. Integrate across the IT landscape to provide intelligent, relevant and contextual insights for your users. Integrate and orchestrate large data volumes and streams at scale. Machine learning enables you to streamline, operationalize, manage, and govern innovation. Comprehensive metadata management rules optimize governance and reduce compliance risk. Disjointed data assets can be connected, discovered, enriched, and orchestrated to provide actionable business insights at enterprise level.

Tableau Catalog is a benefit for everyone. Tableau Catalog provides a complete view of the data and how it connects to the analytics in Tableau. This increases trust and discoverability for IT and business users. Tableau Catalog makes it easy to communicate changes to the data, review dashboards, or search for the right data for analysis. Tableau Catalog automatically ingests all data assets in your Tableau environment into a single central list. There is no need to create an index schedule or connect. You can quickly see all of your files, tables, and databases in one location. Migration of databases, deprecating fields or adding a column to a table can all have potential impacts on your environment. Lineage and impact analysis allows you to see not only the upstream and downstream implications of assets but also who will be affected.

MetaCenter allows business and technology teams to classify and catalog an organization's information assets. Self-service questions can be asked about data assets, how data flows through the company, and how it should use. This allows organizations to reduce costs, improve agility, and reduce operational risks. Cross-referencing models can be automated by a search-based semantic layer. Faceted views of data assets can be published to specific roles. Comparable solutions offer lower costs of ownership and better ROI. Simple GUI driven customization enables rapid application customization. No programming or professional services required

Secoda AI can help you generate documentation and queries from your metadata. This will save your team hundreds of hours of tedious work. Secoda AI will also generate documentation and queries based on your metadata. This will save your team hundreds of tedious hours and redundant data requests. Search across all columns, dashboards and metrics, as well as tables, dashboards and tables. AI-powered searches allow you to ask any question and receive a contextual response quickly. Answer questions. Our API allows you to integrate data discovery into your workflow, without disrupting the flow. Perform bulk updates, tag PII, manage tech debt and more. Eliminate manual errors and have complete trust in your knowledge base.

Datafi is a platform that provides a unified data environment for business teams. It integrates data silos, unifies data security, and enables self-service workflows to meet the unique needs of business users who want to find, use, or share the information they need. Datafi is used by customers to increase their organization's data capabilities, and empower more employees to make better and faster data-driven decision. Datafi makes data easily accessible and meaningful to everyone. Know how your data will be accessed and used. Data-forward companies know how important it is to enable their data to drive business outcomes. This starts with enabling easy and secure data access. Data-driven insights can lead to new business outcomes. Organizations that improve their data literacy will be more likely to discover these data-driven insights.

The only platform you will ever need for life underwriting is s360. Complete underwriting workbench with Automated Underwriting, Predictive Models, Tele and Video Interviews, Accelerated Underwriting, and API-integrated Paramedical Exam Report Collection - Have full control over your Case Pipeline and operate elegantly and independently. It was designed using a data-focused approach to provide deeper underwriting insight. It converts your unstructured medical data into structured insights. It is rich in risk analysis channels, including predictive models, interviews and automated underwriting.

The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.

Alteryx AI Platform will help you enter a new age of analytics. Empower your organization through automated data preparation, AI powered analytics, and accessible machine learning - all with embedded governance. Welcome to a future of data-driven decision making for every user, team and step. Empower your team with an intuitive, easy-to-use user experience that allows everyone to create analytical solutions that improve productivity and efficiency. Create an analytics culture using an end-toend cloud analytics platform. Data can be transformed into insights through self-service data preparation, machine learning and AI generated insights. Security standards and certifications are the best way to reduce risk and ensure that your data is protected. Open API standards allow you to connect with your data and applications.

AWS Glue, a fully managed extract-transform-and-load (ETL) service, makes it easy for customers prepare and load their data for analysis. With just a few clicks, you can create and run ETL jobs. AWS Glue simply points to the AWS Data Catalog and AWS Glue finds your data and stores metadata (e.g. AWS Glue Data Catalog contains the table definition and schema. Once your data has been cataloged, it is immediately searchable and queryable. It is also available for ETL.