Best Data Management Software for Fivetran
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Compare the Top Data Management Software that integrates with Fivetran as of May 2026
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This a list of Data Management software that integrates with Fivetran. Use the filters on the left to add additional filters for products that have integrations with Fivetran. View the products that work with Fivetran in the table below.
What is Data Management Software for Fivetran?
Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security. Compare and read user reviews of the best Data Management software for Fivetran currently available using the table below. This list is updated regularly.
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1
Snowflake
Snowflake
Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates enterprise AI by providing secure access to leading large language models (LLMs) and data chat services. The platform’s cloud services automate complex resource management, ensuring reliability and cost efficiency. Trusted by over 11,000 global customers across industries, Snowflake helps businesses collaborate on data, build data applications, and maintain a competitive edge.Starting Price: $2 compute/month -
2
Quaeris
Quaeris, Inc.
Align analytics to your everyday business workflows. Your business relies on people, data and documents, but the process of using them is broken. QuaerisAI enables seamless downstream workflows across your People, Documents and Data Assets. Use natural language search on data, documents and collaborate in private or within Communities - all in one platform! QuaerisAI offers time savings of at-least 30 minutes to an hour/day/resource - imagine the productivity enhancements you give your users without the expense of buying and consolidating a bunch of AI tools. Quaeris can be rolled out to team of 10s or 1000s of users seamlessly within a matter of days - without much need of IT, and that is why IT & data teams love us!Starting Price: $100 per month -
3
Mixpanel
Mixpanel
At Mixpanel, our mission is to increase the rate of innovation. Not only as a company, but for the businesses we serve. Through our analytics and engagement product, companies can analyze how and why their users engage, convert, and retain in real-time across web, mobile, and smart devices. Then they can use that data to improve their business and products. Mixpanel serves over 26,000 companies from different industries around the world, including Samsung, Twitter, and BMW. Headquartered in San Francisco, Mixpanel has offices in New York, Seattle, Austin, London, Barcelona, Paris, and Singapore. Great products are built by teams who know their users. Go beneath the surface to learn which features are popular, who your power users are, and the behaviors tied to long-term retention. See which features are popular and how many power users you have.Starting Price: $89 per month -
4
Segment
Twilio
Twilio Segment’s Customer Data Platform (CDP) provides companies with the data foundation that they need to put their customers at the heart of every decision. Per IDC, it’s the #1 CDP in worldwide market share four years in a row (2019-2022). Using Twilio Segment, companies can collect, unify and route their customer data into any system where it’s needed to better understand their customers and create seamless, compelling experiences in real-time. Over 25,000 companies use Twilio Segment to make real-time decisions, accelerate growth and deliver world-class customer experiences.Starting Price: $120 per month -
5
Sifflet
Sifflet
Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset. -
6
Amplitude
Amplitude
Build products that drive outcomes. Amplitude is the product intelligence platform that helps teams convert, engage, and retain customers. Teams building digital products use Amplitude to better understand user behavior, ship improved experiences, and retain more customers. Gain a deeper understanding of how customers experience your digital products. Empower teams to ship faster, measure impact, and visualize user journeys. Personalize product experiences to drive engagement, conversion, and loyalty. Product intelligence gives teams the data and insights they need to build great product experiences—and do it at scale. Use self-serve analytics to understand what happens, why, and how to improve your product. Align on decisions and integrate with your existing workflows and tech stack to make changes, fast. -
7
Dagster
Dagster Labs
Dagster is a next-generation orchestration platform for the development, production, and observation of data assets. Unlike other data orchestration solutions, Dagster provides you with an end-to-end development lifecycle. Dagster gives you control over your disparate data tools and empowers you to build, test, deploy, run, and iterate on your data pipelines. It makes you and your data teams more productive, your operations more robust, and puts you in complete control of your data processes as you scale. Dagster brings a declarative approach to the engineering of data pipelines. Your team defines the data assets required, quickly assessing their status and resolving any discrepancies. An assets-based model is clearer than a tasks-based one and becomes a unifying abstraction across the whole workflow.Starting Price: $0 -
8
Datameer
Datameer
Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. Speed up your analytics workflow by transforming datasets to answer ad-hoc questions and support operational dashboards. Empower everyone on your team with our SQL or Drag-and-Drop to transform your data in an intuitive and collaborative workspace. And best of all, everything happens in Snowflake. Datameer is designed and optimized for Snowflake to reduce data movement and increase platform adoption. Some of the problems Datameer solves: - Analytics is not accessible - Drowning in backlog - Long development -
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intermix.io
Intermix.io
Capture metadata from your data warehouse and tools that connect to it. Track the workloads you care about, and retroactively understand user engagement, cost, and performance of data products. Complete visibility into your data platform, who is touching your data, and how it’s being used. In these interviews, we’re sharing how data teams build and deliver data products at their company. We also cover tech stacks, best practices and other lessons learned. intermix.io gives you end-to-end visibility with an easy-to-use SaaS dashboard. Collaborate with your entire team, create custom reports, and get everything you need to understand what’s going on in your data platform, across your cloud data warehouse and the tools that connect to it. intermix.io is a SaaS product that collects metadata from your data warehouse with absolutely zero coding required. We never need access to data you've copied into your data warehouse.Starting Price: $295 per month -
10
Secoda
Secoda
With Secoda AI on top of your metadata, you can now get contextual search results from across your tables, columns, dashboards, metrics, and queries. Secoda AI can also help you generate documentation and queries from your metadata, saving your team hundreds of hours of mundane work and redundant data requests. Easily search across all columns, tables, dashboards, events, and metrics. AI-powered search lets you ask any question to your data and get a contextual answer, fast. Get answers to questions. Integrate data discovery into your workflow without disrupting it with our API. Perform bulk updates, tag PII data, manage tech debt, build custom integrations, identify the least used resources, and more. Eliminate manual error and have total trust in your knowledge repository.Starting Price: $50 per user per month -
11
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 -
12
Mozart Data
Mozart Data
Mozart Data is the all-in-one modern data platform that makes it easy to consolidate, organize, and analyze data. Start making data-driven decisions by setting up a modern data stack in an hour - no engineering required. -
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DataOps.live
DataOps.live
DataOps.live, the Data Products company, delivers productivity and governance breakthroughs for data developers and teams through environment automation, pipeline orchestration, continuous testing and unified observability. We bring agile DevOps automation and a powerful unified cloud Developer Experience (DX) to modern cloud data platforms like Snowflake. DataOps.live, a global cloud-native company, is used by Global 2000 enterprises including Roche Diagnostics and OneWeb to deliver 1000s of Data Product releases per month with the speed and governance the business demands. -
14
Foundational
Foundational
Identify code and optimization issues in real-time, prevent data incidents pre-deploy, and govern data-impacting code changes end to end—from the operational database to the user-facing dashboard. Automated, column-level data lineage, from the operational database all the way to the reporting layer, ensures every dependency is analyzed. Foundational automates data contract enforcement by analyzing every repository from upstream to downstream, directly from source code. Use Foundational to proactively identify code and data issues, find and prevent issues, and create controls and guardrails. Foundational can be set up in minutes with no code changes required. -
15
Orchestra
Orchestra
Orchestra is a Unified Control Plane for Data and AI Operations, designed to help data teams build, deploy, and monitor workflows with ease. It offers a declarative framework that combines code and GUI, allowing users to implement workflows 10x faster and reduce maintenance time by 50%. With real-time metadata aggregation, Orchestra provides full-stack data observability, enabling proactive alerting and rapid recovery from pipeline failures. It integrates seamlessly with tools like dbt Core, dbt Cloud, Coalesce, Airbyte, Fivetran, Snowflake, BigQuery, Databricks, and more, ensuring compatibility with existing data stacks. Orchestra's modular architecture supports AWS, Azure, and GCP, making it a versatile solution for enterprises and scale-ups aiming to streamline their data operations and build trust in their AI initiatives. -
16
OpenMetadata
OpenMetadata
OpenMetadata is an open, unified metadata platform that centralizes all metadata for data discovery, observability, and governance in a single interface. It leverages a Unified Metadata Graph and 80+ turnkey connectors to collect metadata from databases, pipelines, BI tools, ML systems, and more, providing a complete data context that enables teams to search, facet, and preview assets across their entire estate. Its API‑ and schema‑first architecture offers extensible metadata entities and relationships, giving organizations precise control and customization over their metadata model. Built with only four core system components, the platform is designed for simple setup, operation, and scalable performance, allowing both technical and non‑technical users to collaborate on discovery, lineage, quality, observability, collaboration, and governance workflows without complex infrastructure. -
17
Mode
Mode Analytics
Understand how users are interacting with your product and identify opportunity areas to inform your product decisions. Mode empowers one Stitch analyst to do the work of a full data team through speed, flexibility, and collaboration. Build dashboards for annual revenue, then use chart visualizations to identify anomalies quickly. Create polished, investor-ready reports or share analysis with teams for collaboration. Connect your entire tech stack to Mode and identify upstream issues to improve performance. Speed up workflows across teams with APIs and webhooks. Understand how users are interacting with your product and identify opportunity areas to inform your product decisions. Leverage marketing and product data to fix weak spots in your funnel, improve landing-page performance, and understand churn before it happens. -
18
Astro by Astronomer
Astronomer
For data teams looking to increase the availability of trusted data, Astronomer provides Astro, a modern data orchestration platform, powered by Apache Airflow, that enables the entire data team to build, run, and observe data pipelines-as-code. Astronomer is the commercial developer of Airflow, the de facto standard for expressing data flows as code, used by hundreds of thousands of teams across the world. -
19
Databricks
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker. -
20
Sigma
Sigma Computing
Sigma is a modern business intelligence (BI) and analytics application built for the cloud. Trusted by data-first companies, Sigma provides live access to cloud data warehouses using an intuitive spreadsheet interface empowering business experts to ask more of their data without writing a single line of code. With the full power of SQL, the cloud, and a familiar interface, business users have the freedom to analyze data in real time without limits. Sigma is self-service analytics as it was meant to be. -
21
Savant
Savant
Automate data access from data platforms and apps, explore, prep, blend, analyze and deliver bot-driven insights where and when needed. From data access to delivery of insights, create workflows in minutes to automate every step of analytics from data access to delivery of insights. Put an end to shadow analytics. Create and collaborate with all stakeholders in one platform. Audit and govern workflows. The single platform for supply-chain, HR, sales & marketing analytics integrating Fivetran, Snowflake, DBT, Workday, Pendo, Marketo, PowerBI. No code. No limits. Savant's no-code platform lets you stitch, transform and analyze data using the same functions you're comfortable using in Excel and SQL. All steps are automatable, so you can focus on analysis, not tedious manual work. -
22
Kestra
Kestra
Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence. Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate in the data pipeline creation process. The UI automatically adjusts the YAML definition any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is defined declaratively in code, even if some workflow components are modified in other ways. -
23
Pantomath
Pantomath
Organizations continuously strive to be more data-driven, building dashboards, analytics, and data pipelines across the modern data stack. Unfortunately, most organizations struggle with data reliability issues leading to poor business decisions and lack of trust in data as an organization, directly impacting their bottom line. Resolving complex data issues is a manual and time-consuming process involving multiple teams all relying on tribal knowledge to manually reverse engineer complex data pipelines across different platforms to identify root-cause and understand the impact. Pantomath is a data pipeline observability and traceability platform for automating data operations. It continuously monitors datasets and jobs across the enterprise data ecosystem providing context to complex data pipelines by creating automated cross-platform technical pipeline lineage. -
24
QuickLaunch Analytics
QuickLaunch Analytics
QuickLaunch Analytics is an enterprise data analytics platform that helps organizations turn fragmented data from ERP, CRM, financial, HR and operational systems into a unified, governed analytics ecosystem with faster, business-ready insights; rather than building analytics infrastructure from scratch, it provides a Foundation Pack that includes automated data pipelines, a cloud-native data lakehouse and Power BI semantic models so raw enterprise data can be integrated, cleaned, and governed for analytics, and Application Packs that layer pre-built, application-specific intelligence and production-ready semantic models tailored to systems like JD Edwards, Viewpoint Vista, NetSuite, Salesforce and others to decode complex data structures into business-friendly metrics and dashboards; the platform accelerates time-to-insight from months/years to weeks with standardized metrics and reports, supports cross-application analysis and self-service BI, and uses modern technologies.
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