Best Data Management Software for Stonebranch

ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys

Illuminate dark data and accelerate data-driven transformation with intelligent data operations to enable an edge-to-cloud data fabric. Pentaho products automate onboarding, integrating, governing, and publishing trusted data, with an intelligent composable data platform to automate data management needs.

Apache Kafka®, is an open-source distributed streaming platform.

Your cloud data platform. Access to any data you need with unlimited scalability. All your data is available to you, with the near-infinite performance and concurrency required by your organization. You can seamlessly share and consume shared data across your organization to collaborate and solve your most difficult business problems. You can increase productivity and reduce time to value by collaborating with data professionals to quickly deliver integrated data solutions from any location in your organization. Our technology partners and system integrators can help you deploy Snowflake to your success, no matter if you are moving data into Snowflake.

The UiPath Platform allows you to transform your business into a fully-automated enterprise. Fully automated enterprises are digitally transformed enterprises. The automation platform that does it all can help you increase business resilience, speed, agility, and relieve people from mundane tasks. To gain a deep understanding of complex business processes, you can use data from business applications like ERP and CRM. You will be able to identify what needs to be automated and how to do it well. And you'll also be able prove your impact. UiPath, an innovative Robotic Process Automation platform (RPA) that enables organizations to automate business processes efficiently, helping them become digital businesses more quickly and gain a competitive advantage on their journey to AI. UiPath is flexible, extensible and sustainable. Users can design their own workflows using UiPath without any scripting or programming. The platform features full auditing capabilities, advanced analytics reporting, and customizable dashboards.

Microsoft SQL Server 2019 includes intelligence and security. You get more without paying extra, as well as best-in-class performance for your on-premises requirements. You can easily migrate to the cloud without having to change any code. Azure makes it easier to gain insights and make better predictions. You can use the technology you choose, including open-source, and Microsoft's innovations to help you develop. Integrate data into your apps easily and access a rich set cognitive services to build human-like intelligence on any data scale. AI is built into the data platform, so you can get insights faster from all of your data, both on-premises or in the cloud. To build an intelligence-driven company, combine your enterprise data with the world's data. You can build your apps anywhere with a flexible platform that offers a consistent experience across platforms.

Tableau, a comprehensive business intelligence (BI/analytics) solution, allows you to generate, analyze, and interpret business data. Tableau allows users to gather data from many sources, including spreadsheets, SQL databases and Salesforce. Tableau offers real-time visual analytics as well as an interactive dashboard that allows users to slice and dice data to make relevant insights and find new opportunities. Tableau allows users to customize the platform for different industry verticals such as communication, banking, and more.

Azure Synapse is the Azure SQL Data Warehouse. Azure Synapse, a limitless analytics platform that combines enterprise data warehouse and Big Data analytics, is called Azure Synapse. It allows you to query data at your own pace, with either serverless or provisioned resources - at scale. Azure Synapse combines these two worlds with a single experience to ingest and prepare, manage and serve data for machine learning and BI needs.

Data teams can collaborate as software engineering teams by using version control, quality assurance, documentation, and modularity. Analytics errors should be treated as serious as production product bugs. Analytic workflows are often manual. We believe that workflows should be designed to be executed with one command. Data teams use dbt for codifying business logic and making it available to the entire organization. This is useful for reporting, ML modeling and operational workflows. Built-in CI/CD ensures data model changes are made in the correct order through development, staging, production, and production environments. dbt Cloud offers guaranteed uptime and custom SLAs.

Empower all levels of skill to make data-driven decisions, and take action when it is most important. Deeper interactivity. Broader context Lightning fast. No one else can match it. Qlik's unique Associative technology is unrivalled in its ability to power our industry-leading analytics experience. All your users can explore at their own pace with hyperfast calculations. Always in context and at scale. It's big. Qlik Sense goes beyond the limitations of query-based analytics or dashboards offered by competitors. Insight Advisor in Qlik Sense employs AI to help users understand and use data better, minimizing cognitive bias, increasing discovery, and elevating data literacy. Organizations need to have a dynamic relationship with the information that is relevant at the moment. Traditional passive BI is not enough.

The market-leading, scalable, and high-performance enterprise data management platform allows you to embrace agility. All aspects of data integration are supported, from the initial project jumpstart to the successful deployment of mission-critical enterprise applications. PowerCenter, a metadata-driven data management platform, accelerates and jumpstarts data integration projects to deliver data to businesses faster than manual hand coding. Developers and analysts work together to quickly prototype, iterate and validate projects, then deploy them in days instead of months. Your data integration investments can be built on PowerCenter. Machine learning can be used to efficiently monitor and manage PowerCenter deployments across locations and domains.

Fivetran is the smartest method to replicate data into your warehouse. Our zero-maintenance pipeline is the only one that allows for a quick setup. It takes months of development to create this system. Our connectors connect data from multiple databases and applications to one central location, allowing analysts to gain profound insights into their business.

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.

Accelerate data integration Azure Data Factory is a service that integrates data silos. It is designed for all levels of data integration. You can easily create ETL and ELT processes in the intuitive visual environment. Or, you can write your own code. Visually integrate data sources with over 90+ pre-built and maintenance-free connectors. The serverless integration service takes care of the rest.

High-performance ETL, mass Ingestion, or data capture can be used to ingest data. Integrate data with any cloud with ETL, ELT or Spark or with a fully managed, serverless option. Integrate any application, on-premises or SaaS. Your cloud ecosystem can process petabytes of data 72x faster than traditional systems. Informatica's Cloud Data Integration allows you to quickly build high-performance data pipelines that can meet any data integration requirement. You can efficiently ingest files, databases, and streaming data to perform real-time data replication, streaming analytics, and other data analysis. Intelligent business processes that span cloud and on-premises sources allow you to integrate apps and data in real-time. Integrate message- and event-based systems and queues with top tools. Connect to any API and integrate in real time with messaging APIs, messaging and pub/sub support. No coding required.

Cloud-native data integration with IBM Cloud Pak data enables you to accelerate AI innovation AI-powered data integration from anywhere. Your AI and analytics can only be as good as the data they are powered by. IBM®, DataStage®, for IBM Cloud Pak®, for Data provides high-quality data through a container-based architecture. It combines industry-leading data integration, DataOps, governance, and analytics on one data and AI platform. Automation speeds up administrative tasks, helping to reduce TCO. AI-based design accelerators, out-of-the box integration with DataOps or data science services accelerate AI innovation. Multicloud integration and parallelism allow you to deliver trusted data across hybrid and multicloud environments. The IBM Cloud Pak for Data platform allows you to manage the data and analytics lifecycle. Data science, event messaging, and data warehousing are some of the services offered. Automated load balancing and parallel engine.

Airflow is a community-created platform that allows programmatically to schedule, author, and monitor workflows. Airflow is modular in architecture and uses a message queue for managing a large number of workers. Airflow can scale to infinity. Airflow pipelines can be defined in Python to allow for dynamic pipeline generation. This allows you to write code that dynamically creates pipelines. You can easily define your own operators, and extend libraries to suit your environment. Airflow pipelines can be both explicit and lean. The Jinja templating engine is used to create parametrization in the core of Airflow pipelines. No more XML or command-line black-magic! You can use standard Python features to create your workflows. This includes date time formats for scheduling, loops to dynamically generate task tasks, and loops for scheduling. This allows you to be flexible when creating your workflows.