Best Data Management Software for Snowflake - Page 8
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Compare the Top Data Management Software that integrates with Snowflake as of November 2025 - Page 8
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This a list of Data Management software that integrates with Snowflake. Use the filters on the left to add additional filters for products that have integrations with Snowflake. View the products that work with Snowflake in the table below.
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1
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. -
2
Stripe Data Pipeline
Stripe
Stripe Data Pipeline sends all your up-to-date Stripe data and reports to Snowflake or Amazon Redshift in a few clicks. Centralize your Stripe data with other business data to close your books faster and unlock richer business insights. Set up Stripe Data Pipeline in minutes and automatically receive your Stripe data and reports in your data warehouse on an ongoing basis–no code required. Create a single source of truth to speed up your financial close and access better insights. Identify your best-performing payment methods, analyze fraud by location, and more. Send your Stripe data directly to your data warehouse without involving a third-party extract, transform, and load (ETL) pipeline. Offload ongoing maintenance with a pipeline that’s built into Stripe. No matter how much data you have, your data is always complete and accurate. Automate data delivery at scale, minimize security risks, and avoid data outages and delays.Starting Price: 3¢ per transaction -
3
Telmai
Telmai
A low-code no-code approach to data quality. SaaS for flexibility, affordability, ease of integration, and efficient support. High standards of encryption, identity management, role-based access control, data governance, and compliance standards. Advanced ML models for detecting row-value data anomalies. Models will evolve and adapt to users' business and data needs. Add any number of data sources, records, and attributes. Well-equipped for unpredictable volume spikes. Support batch and streaming processing. Data is constantly monitored to provide real-time notifications, with zero impact on pipeline performance. Seamless boarding, integration, and investigation experience. Telmai is a platform for the Data Teams to proactively detect and investigate anomalies in real time. A no-code on-boarding. Connect to your data source and specify alerting channels. Telmai will automatically learn from data and alert you when there are unexpected drifts. -
4
Numbers Station
Numbers Station
Accelerating insights, eliminating barriers for data analysts. Intelligent data stack automation, get insights from your data 10x faster with AI. Pioneered at the Stanford AI lab and now available to your enterprise, intelligence for the modern data stack has arrived. Use natural language to get value from your messy, complex, and siloed data in minutes. Tell your data your desired output, and immediately generate code for execution. Customizable automation of complex data tasks that are specific to your organization and not captured by templated solutions. Empower anyone to securely automate data-intensive workflows on the modern data stack, free data engineers from an endless backlog of requests. Arrive at insights in minutes, not months. Uniquely designed for you, tuned for your organization’s needs. Integrated with upstream and downstream tools, Snowflake, Databricks, Redshift, BigQuery, and more coming, built on dbt. -
5
Kleene
Kleene
Easy data management to power your business. Connect, transform and visualize your data fast and in a scalable way. Kleene makes it easy to access all the data that lives in your SaaS software. Once the data is extracted, it is stored and organized in a cloud data warehouse. The data is cleaned and organized for analysis purposes. Easy to use dashboards to gain insights and make data-driven decisions to power your growth. Never waste time again building your own data pipelines. 150+ pre-built data connectors library. On-demand custom connector build. Always work with the most up-to-date data. Set up your data warehouse in minutes with no engineering required. Accelerate your data model building thanks to our unique transformation tooling. Best-in-class data pipeline observability and management. Access Kleene’s industry-leading dashboard templates. Level up your dashboards using our wide industry expertise. -
6
Bytebase
Bytebase
Bytebase offers a web-based collaboration workspace to help DBAs and developers manage the database development lifecycle. Standardize database changes with peer review, lint rules, and GitOps integration. Run ad-hoc SQL queries with built-in data privacy protection via web-based IDE. Eliminate administrative complexity and ensure compliance with holistic policy control. Bytebase streamlines database deployment from non-prod to prod with change review workflow and optional GitOps integration. 100+ lint rules to detect SQL anti-patterns and enforce consistent SQL style in the organization. Batch change to multiple databases across different environments and tenants in a single ticket. Reuse developer workflow and manage change scripts in VCS. Lockless schema change to reduce database downtime from hours to seconds. Bytebase employs a security-first approach to protect your data with access control, data anonymization, watermarking, audit log, and more.Starting Price: $100 per month -
7
Lightup
Lightup
Empower enterprise data teams to proactively prevent costly outages, before they occur. Quickly scale data quality checks across enterprise data pipelines with efficient time-bound pushdown queries — without compromising performance. Proactively monitor and identify data anomalies, leveraging prebuilt DQ-specific AI models — without manual threshold setting. Lightup’s out-of-the-box solution gives you the highest level of data health so you can make confident business decisions. Arm stakeholders with data quality intelligence for confident decision-making. Powerful, flexible dashboards provide transparency into data quality and trends. Avoid data silos by using Lightup’s built-in connectors to seamlessly connect to any data source in your data stack. Streamline workflows by replacing manual, resource-intensive processes with automated and accurate data quality checks. -
8
Embeddable
Embeddable
Build remarkable analytics experiences, in 10% of the time. Frustrated with your embedded analytics tool, or with maintaining a custom-built charts and dashboards in your app? Embeddable is a next-generation embedded analytics tool where you own the front-end code and we handle everything else, Enabling you to build fully-bespoke, fast-loading charts and dashboards in your app without the engineering costs. Delight your customers, reduce engineering overheads, and deliver your dream experience, fast. Compatible with all major databases. Cloud & Self-hosted. Multi-tenancy. Open source component library + more.Starting Price: On request -
9
DataChannel
DataChannel
Unify data from 100+ sources so your team can deliver better insights, rapidly. Sync data from any data warehouse into business tools your teams prefer. Efficiently scale data ops using a single platform custom-built for all requirements of your data teams and save up to 75% of your costs. Don't want the hassle of managing a data warehouse? We are the only platform that offers an integrated managed data warehouse to meet all your data management needs. Select from a growing library of 100+ fully managed connectors and 20+ destinations - SaaS apps, databases, data warehouses, and more. Completely secure granular control over what data to move. Schedule and transform your data for analytics seamlessly in sync with your pipelines.Starting Price: $250 per month -
10
Chalk
Chalk
Powerful data engineering workflows, without the infrastructure headaches. Complex streaming, scheduling, and data backfill pipelines, are all defined in simple, composable Python. Make ETL a thing of the past, fetch all of your data in real-time, no matter how complex. Incorporate deep learning and LLMs into decisions alongside structured business data. Make better predictions with fresher data, don’t pay vendors to pre-fetch data you don’t use, and query data just in time for online predictions. Experiment in Jupyter, then deploy to production. Prevent train-serve skew and create new data workflows in milliseconds. Instantly monitor all of your data workflows in real-time; track usage, and data quality effortlessly. Know everything you computed and data replay anything. Integrate with the tools you already use and deploy to your own infrastructure. Decide and enforce withdrawal limits with custom hold times.Starting Price: Free -
11
Zerve AI
Zerve AI
Merging the best of a notebook and an IDE into one integrated coding environment, experts can explore their data and write stable code at the same time with fully automated cloud infrastructure. Zerve’s data science development environment gives data science and ML teams a unified space to explore, collaborate, build, and deploy data science & AI projects like never before. Zerve offers true language interoperability, meaning that as well as being able to use Python, R, SQL, or Markdown all in the same canvas, users can connect these code blocks to each other. No more long-running code blocks or containers, with Zerve enjoying unlimited parallelization at any stage of the development journey. Analysis artifacts are automatically serialized, versioned, stored, and preserved for later use, meaning easily changing a step in the data flow without needing to rerun any preceding steps. Fine-grained selection of compute resources and extra memory for complex data transformation. -
12
Onvo.ai
Onvo.ai
Say goodbye to endless customization requests and the frustration of dealing with SQL queries. Build beautiful dashboards to showcase your data in the time it takes to make a cup of coffee. Experience ultimate flexibility with our SDKs for intelligent data, with comprehensive features and seamless integration. Effortlessly craft integrated dashboards and data visualizations using our intuitive no-code widget. Seamlessly integrate using our dev-friendly SDKs or develop directly on our platform. Crafted with a strong focus on data privacy, our tools are built to keep your data on your systems. Leveraging AI, you can now create custom dashboards and data visualizations effortlessly using a simple prompt.Starting Price: $29 per month -
13
Kater.ai
Kater.ai
Kater is built for data professionals and data inquisitors. All organized data products are immediately usable by anyone who has a data question, without knowing a lick of SQL. Kater aims to bridge the ownership of data across all business domains in your company. Butler securely connects to your data warehouse's metadata and objects to help you code, discover data, and so much more. Optimize your data for AI with automatic intelligent labeling, categorization, and data curation. We help you define your semantic layer, metric layer, and general documentation. Validated answers are stored in the query bank for smarter, more accurate responses. -
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
Sherloq
Sherloq
Don’t change your existing habits, our plug-in sits on top of your existing query editor so we always catch you where you are. That means we don’t need any integrations into your data or metadata. Using our SQL repository, find and reuse your team’s most relevant queries. Save, share, tag, and create folders and versions for your SQL work. Stop writing repetitive code and reuse your teammate’s work. For your own queries, use snippets to enhance your productivity directly in your IDE. With no access to your data and no integration needed. Sherloq is the one place for all your ad-hoc SQL queries. Using the AI SQL repo plug-in, you can collaboratively manage, save, and share your SQL code, without leaving your IDE. It’s collaborative but also has a place for your own personal work. It can be used by people that love data and understand it, and by those that don’t. Automatically save your SQL history across the entire team. -
16
Onehouse
Onehouse
The only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines at scale, for a fraction of the cost. Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines. Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML. Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing. Deploy in minutes without engineering overhead with a fully managed, highly optimized cloud service. Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes. Use the right table format for the job, with omnidirectional interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Quickly configure managed pipelines for database CDC and streaming ingestion. -
17
Datagaps ETL Validator
Datagaps
DataOps ETL Validator is the most comprehensive data validation and ETL testing automation tool. Comprehensive ETL/ELT validation tool to automate the testing of data migration and data warehouse projects with easy-to-use low-code, no-code component-based test creation and drag-and-drop user interface. ETL process involves extracting data from various sources, transforming it to fit operational needs, and loading it into a target database or data warehouse. ETL testing involves verifying the accuracy, integrity, and completeness of data as it moves through the ETL process to ensure it meets business rules and requirements. Automating ETL testing can be achieved using tools that automate data comparison, validation, and transformation tests, significantly speeding up the testing cycle and reducing manual labor. ETL Validator automates ETL testing by providing intuitive interfaces for creating test cases without extensive coding. -
18
Harbr
Harbr
Create data products from any source in seconds, without moving the data. Make them available to anyone, while maintaining complete control. Deliver powerful experiences to unlock value. Enhance your data mesh by seamlessly sharing, discovering, and governing data across domains. Foster collaboration and accelerate innovation with unified access to high-quality data products. Provide governed access to AI models for any user. Control how data interacts with AI to safeguard intellectual property. Automate AI workflows to rapidly integrate and iterate new capabilities. Access and build data products from Snowflake without moving any data. Experience the ease of getting more from your data. Make it easy for anyone to analyze data and remove the need for centralized provisioning of infrastructure and tools. Data products are magically integrated with tools, to ensure governance and accelerate outcomes. -
19
Brewit
Brewit
Make data-driven decisions 10x faster with self-service analytics. Integrate with your databases and data warehouses all-in-one place (Postgres, MySQL, Snowflake, BigQuery, and more). Brewit can write SQL queries and create recommended charts based on your data questions. It also helps you drill down on the analysis. Chat with your database, visualize insights, & perform analysis. Ensure answer accuracy and consistency with a built-in data catalog. An automated semantic layer that ensures Brewit answers with correct business logic. Easily manage your data catalog & data dictionary. Building a beautiful report is as easy as writing a doc. Data without a story is useless. Our Notion-style notebook editor allows you to create reports & dashboards easily, turning raw data into actionable insights. All organized data products are usable by anyone who has a data question, regardless of their technical skills. -
20
DataMarket
RightData
Find, access, and take action on your data. Make it easy for your users to find the data they need with a user-friendly, AI-powered gallery of all your business's available data. Designed to democratize data access within your organization, offering a seamless online shopping experience for exploring, finding, evaluating, and taking action on data assets distributed across the enterprise. An online shopping experience that makes your data products easily findable and actionable by data consumers. Findability is enhanced as data products are organized by domains, tagged, and classified. Actionability is simplified as consumers are able to use existing BI and analytic tools or they can interact with the data using NLP. Make it easy to control access to data across the organization. Set permissions by role for access to data products and easily grant access to data product requests. -
21
DataTrust
RightData
DataTrust is built to accelerate test cycles and reduce the cost of delivery by enabling continuous integration and continuous deployment (CI/CD) of data. It’s everything you need for data observability, data validation, and data reconciliation at a massive scale, code-free, and easy to use. Perform comparisons, and validations, and do reconciliation with re-usable scenarios. Automate the testing process and get alerted when issues arise. Interactive executive reports with quality dimension insights. Personalized drill-down reports with filters. Compare row counts at the schema level for multiple tables. Perform checksum data comparisons for multiple tables. Rapid generation of business rules using ML. Flexibility to accept, modify, or discard rules as needed. Reconciling data across multiple sources. DataTrust solutions offers the full set of applications to analyze source and target datasets. -
22
ZoomInfo DaaS
ZoomInfo
From foundational and firmographic data to infuse your CRM to contact and intent intelligence to get the full customer picture, ZoomInfo’s actionable data is unparalleled in match rate, match accuracy, fill rate, and fill accuracy. Integrate comprehensive B2B data into any workflow in the format of your choice via cloud data shares, APIs, flat files, or orchestration apps. Access data cubes in AWS, Google Cloud, Databricks, Snowflake, or receive a flat file. Switch from complicated B2B data absorption to modern data management with ZoomInfo. Accelerate data maturity across your company and elevate go-to-market motions by working from a unified source of truth, aligning sales and marketing. Access our continually refreshed database to get the company and contact data you need to boost business outcomes. Use APIs and webhooks to integrate ZoomInfo data into any workflow or system, in real-time and at scale. -
23
IBM watsonx.data
IBM
Put your data to work, wherever it resides, with the open, hybrid data lakehouse for AI and analytics. Connect your data from anywhere, in any format, and access through a single point of entry with a shared metadata layer. Optimize workloads for price and performance by pairing the right workloads with the right query engine. Embed natural-language semantic search without the need for SQL, so you can unlock generative AI insights faster. Manage and prepare trusted data to improve the relevance and precision of your AI applications. Use all your data, everywhere. With the speed of a data warehouse, the flexibility of a data lake, and special features to support AI, watsonx.data can help you scale AI and analytics across your business. Choose the right engines for your workloads. Flexibly manage cost, performance, and capability with access to multiple open engines including Presto, Presto C++, Spark Milvus, and more. -
24
Alteryx Designer
Alteryx
Drag-and-drop tools and generative AI enable analysts to prepare & blend data up to 100 faster than traditional solutions. Self-service data analytics platform puts the power in every analyst’s hands and removes expensive bottlenecks in the analytics journey. Alteryx Designer is a self-service data analytics platform designed to empower analysts by enabling them to prepare, blend, and analyze data using intuitive, drag-and-drop tools. The platform supports over 300 tools for automation and integrates with more than 80 data sources. With a focus on low-code and no-code capabilities, Alteryx Designer allows users to easily create analytic workflows, accelerate analytics processes with generative AI, and generate insights without needing advanced programming skills. It also enables the output of results to over 70 different tools, making it highly versatile. Designed for efficiency, it allows businesses to speed up data preparation and analysis. -
25
Datavolo
Datavolo
Capture all your unstructured data for all your LLM needs. Datavolo replaces single-use, point-to-point code with fast, flexible, reusable pipelines, freeing you to focus on what matters most, doing incredible work. Datavolo is the dataflow infrastructure that gives you a competitive edge. Get fast, unencumbered access to all of your data, including the unstructured files that LLMs rely on, and power up your generative AI. Get pipelines that grow with you, in minutes, not days, without custom coding. Instantly configure from any source to any destination at any time. Trust your data because lineage is built into every pipeline. Make single-use pipelines and expensive configurations a thing of the past. Harness your unstructured data and unleash AI innovation with Datavolo, powered by Apache NiFi and built specifically for unstructured data. Our founders have spent a lifetime helping organizations make the most of their data.Starting Price: $36,000 per year -
26
DataChain
iterative.ai
DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. DataChain offers tools and integrations that are cloud-agnostic for both storage and computing. With DataChain, you can query your unstructured multi-modal data, apply intelligent AI filters to curate data for training and snapshot your unstructured data, the code for data selection, and any stored or computed metadata.Starting Price: Free -
27
CONVAYR
CONVAYR
INTEGRATION: Integrate systems using a simple to operate point and click interface. Access full target system schemas to map and transform source data on a scheduled or ad hoc basis. TRANSFORMATION: Powerful mapping for data transformation, including querying target system in the mapping to enable any transformation imaginable into the source systems. MAINTENANCE: Full cron scheduling of jobs including customisable system downtime, dependencies between connections and deployment via email to allow self-service within the business. PIPELINES: powerful pipeline automation. Define reports, queries or file matches, complex conditions, filters & and schedules to push data to and from your business systems. CONNECT ANY SOURCE TO ANY TARGET: Salesforce schema, Salesforce reports, Webhooks, SOQL, Google Drive, FTP, MySQL, SQLServer, Snowflake, Onedrive, Dynamics 365, Google Analytics, Exasol, AWS S3, Local files, Eloqua, Smartsheet, ServiceNow, Email & more...Starting Price: $100/month/user -
28
kdb Insights
KX
kdb Insights is a cloud-native, high-performance analytics platform designed for real-time analysis of both streaming and historical data. It enables intelligent decision-making regardless of data volume or velocity, offering unmatched price and performance, and delivering analytics up to 100 times faster at 10% of the cost compared to other solutions. The platform supports interactive data visualization through real-time dashboards, facilitating instantaneous insights and decision-making. It also integrates machine learning models to predict, cluster, detect patterns, and score structured data, enhancing AI capabilities on time-series datasets. With supreme scalability, kdb Insights handles extensive real-time and historical data, proven at volumes of up to 110 terabytes per day. Its quick setup and simple data intake accelerate time-to-value, while native support for q, SQL, and Python, along with compatibility with other languages via RESTful APIs. -
29
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. -
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FeatureByte
FeatureByte
FeatureByte is your AI data scientist streamlining the entire lifecycle so that what once took months now happens in hours. Deployed natively on Databricks, Snowflake, BigQuery, or Spark, it automates feature engineering, ideation, cataloging, custom UDFs (including transformer support), evaluation, selection, historical backfill, deployment, and serving (online or batch), all within a unified platform. FeatureByte’s GenAI‑inspired agents, data, domain, MLOps, and data science agents interactively guide teams through data acquisition, quality, feature generation, model creation, deployment orchestration, and continued monitoring. FeatureByte’s SDK and intuitive UI enable automated and semi‑automated feature ideation, customizable pipelines, cataloging, lineage tracking, approval flows, RBAC, alerts, and version control, empowering teams to build, refine, document, and serve features rapidly and reliably.
