Best Data Management Software for Stonebranch
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Compare the Top Data Management Software that integrates with Stonebranch as of September 2025
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This a list of Data Management software that integrates with Stonebranch. Use the filters on the left to add additional filters for products that have integrations with Stonebranch. View the products that work with Stonebranch in the table below.
What is Data Management Software for Stonebranch?
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 Stonebranch currently available using the table below. This list is updated regularly.
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1
Google Cloud BigQuery
Google
BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process.Starting Price: Free ($300 in free credits) -
2
dbt
dbt Labs
dbt Labs helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, analysts and engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow. Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to reduce data debt, increase trust, and accelerate insights across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence.Starting Price: $100 per user per month -
3
UiPath
UiPath
Become a fully automated enterprise™ with the UiPath Platform. A fully automated enterprise is a digitally transformed enterprise. Create business resilience, speed, and agility, and unburden people from mundane work with the automation platform that has it all. Use the data from your business applications (like ERP and CRM) to give you a detailed understanding of complex business processes. You’ll know what to automate and how to do it best—and be able to prove impact, too. UiPath is an innovative Robotic Process Automation (RPA) and process mining enterprise platform that empowers organizations to efficiently automate business processes, helping companies become digital businesses faster and gain a valuable advantage on their path to AI. Scalable, extensible, and sustainable, UiPath lets users design their own workflows visually--no scripting or coding required. The platform also features full auditing capabilities, advanced analytical reporting, and customizable dashboards.Starting Price: $3990.00/year/user -
4
Tableau
Salesforce
Tableau, now enhanced with AI-powered capabilities and integrated with Salesforce, is an advanced analytics platform that helps businesses turn data into actionable insights. With Tableau Next, users can unlock the full potential of their data by accessing trusted AI-driven analytics. Whether deployed in the cloud, on-premises, or natively within Salesforce CRM, Tableau enables seamless data integration, powerful visualizations, and collaboration. The platform is designed to support organizations of all sizes in making data-driven decisions, while fostering a Data Culture through easy-to-use, intuitive tools for analysts, business leaders, IT leaders, and developers alike.Starting Price: $75/user/month -
5
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 -
6
SQL Server
Microsoft
Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.Starting Price: Free -
7
Pentaho
Hitachi Vantara
With an integrated product suite providing data integration, analytics, cataloging, optimization and quality, Pentaho+ enables seamless data management, driving innovation and informed decision-making. Pentaho+ has helped customers achieve a 3x increase in improved data trust, a 7x increase in impactful business results and most importantly, a 70% increase in productivity. -
8
Azure Synapse Analytics
Microsoft
Azure Synapse is Azure SQL Data Warehouse evolved. Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs. -
9
Apache Kafka
The Apache Software Foundation
Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages. -
10
Fivetran
Fivetran
Fivetran is a leading data integration platform that centralizes an organization’s data from various sources to enable modern data infrastructure and drive innovation. It offers over 700 fully managed connectors to move data automatically, reliably, and securely from SaaS applications, databases, ERPs, and files to data warehouses and lakes. The platform supports real-time data syncs and scalable pipelines that fit evolving business needs. Trusted by global enterprises like Dropbox, JetBlue, and Pfizer, Fivetran helps accelerate analytics, AI workflows, and cloud migrations. It features robust security certifications including SOC 1 & 2, GDPR, HIPAA, and ISO 27001. Fivetran provides an easy-to-use, customizable platform that reduces engineering time and enables faster insights. -
11
AWS Glue
Amazon
AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides all the capabilities needed for data integration so that you can start analyzing your data and putting it to use in minutes instead of months. Data integration is the process of preparing and combining data for analytics, machine learning, and application development. It involves multiple tasks, such as discovering and extracting data from various sources; enriching, cleaning, normalizing, and combining data; and loading and organizing data in databases, data warehouses, and data lakes. These tasks are often handled by different types of users that each use different products. AWS Glue runs in a serverless environment. There is no infrastructure to manage, and AWS Glue provisions, configures, and scales the resources required to run your data integration jobs. -
12
Informatica Cloud Data Integration
Informatica
Ingest data with high-performance ETL, mass ingestion, or change data capture. Integrate data on any cloud, with ETL, ELT, Spark, or with a fully managed serverless option. Integrate any application, whether it’s on-premises or SaaS. Process petabytes of data up to 72x faster within your cloud ecosystem. See how you can use Informatica’s Cloud Data Integration to quickly start building high-performance data pipelines to meet any data integration need. Efficiently ingest databases, files, and streaming data for real-time data replication and streaming analytics. Integrate apps & data in real time with intelligent business processes that span cloud & on-premises sources. Easily integrate message- and event-based systems, queues, and topics with support for top tools. Connect to a wide range of applications (and any API) and integrate in real-time with APIs, messaging, and pub/sub support—no coding required. -
13
Qlik Sense
Qlik
Empower people at all skill levels to make data-driven decisions and take action when it matters most. Deeper interactivity. Broader context. Lightning fast. No one else compares. Qlik’s one-of-a-kind Associative technology brings unmatched power to the core of our industry-leading analytics experience. Empower all your users to explore freely at the speed of thought with hyperfast calculations, always in context, at scale. Yeah, it’s a big deal. And it’s why Qlik Sense takes you way beyond the limits of query-based analytics and dashboards our competitors offer. Insight Advisor in Qlik Sense uses AI to help your users understand and use data more effectively, minimizing cognitive bias, amplifying discovery, and elevating data literacy. Organizations need a dynamic relationship with information that reflects the current moment. Traditional, passive BI falls short. -
14
Informatica PowerCenter
Informatica
Embrace agility with the market-leading scalable, high-performance enterprise data integration platform. Support the entire data integration lifecycle, from jumpstarting the first project to ensuring successful mission-critical enterprise deployments. PowerCenter, the metadata-driven data integration platform, jumpstarts and accelerates data integration projects in order to deliver data to the business more quickly than manual hand coding. Developers and analysts collaborate, rapidly prototype, iterate, analyze, validate, and deploy projects in days instead of months. PowerCenter serves as the foundation for your data integration investments. Use machine learning to efficiently monitor and manage your PowerCenter deployments across domains and locations. -
15
Azure Data Factory
Microsoft
Integrate data silos with Azure Data Factory, a service built for all data integration needs and skill levels. Easily construct ETL and ELT processes code-free within the intuitive visual environment, or write your own code. Visually integrate data sources using more than 90+ natively built and maintenance-free connectors at no added cost. Focus on your data—the serverless integration service does the rest. Data Factory provides a data integration and transformation layer that works across your digital transformation initiatives. Data Factory can help independent software vendors (ISVs) enrich their SaaS apps with integrated hybrid data as to deliver data-driven user experiences. Pre-built connectors and integration at scale enable you to focus on your users while Data Factory takes care of the rest. -
16
IBM DataStage
IBM
Accelerate AI innovation with cloud-native data integration on IBM Cloud Pak for data. AI-powered data integration, anywhere. Your AI and analytics are only as good as the data that fuels them. With a modern container-based architecture, IBM® DataStage® for IBM Cloud Pak® for Data delivers that high-quality data. It combines industry-leading data integration with DataOps, governance and analytics on a single data and AI platform. Automation accelerates administrative tasks to help reduce TCO. AI-based design accelerators and out-of-the-box integration with DataOps and data science services speed AI innovation. Parallelism and multicloud integration let you deliver trusted data at scale across hybrid or multicloud environments. Manage the data and analytics lifecycle on the IBM Cloud Pak for Data platform. Services include data science, event messaging, data virtualization and data warehousing. Parallel engine and automated load balancing. -
17
Apache Airflow
The Apache Software Foundation
Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. Airflow pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Easily define your own operators and extend libraries to fit the level of abstraction that suits your environment. Airflow pipelines are lean and explicit. Parametrization is built into its core using the powerful Jinja templating engine. No more command-line or XML black-magic! Use standard Python features to create your workflows, including date time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows.
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