Alternatives to Data Warehouse Studio

Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.

Domo puts data to work for everyone so they can multiply their impact on the business. Underpinned by a secure data foundation, our cloud-native data experience platform makes data visible and actionable with user-friendly dashboards and apps. Domo helps companies optimize critical business processes at scale and in record time to spark bold curiosity that powers exponential business results.

Improvado, an ETL solution, facilitates data pipeline automation for marketing departments without any technical skills. This platform supports marketers in making data-driven, informed decisions. It provides a comprehensive solution for integrating marketing data across an organization. Improvado extracts data form a marketing data source, normalizes it and seamlessly loads it into a marketing dashboard. It currently has over 200 pre-built connectors. On request, the Improvado team will create new connectors for clients. Improvado allows marketers to consolidate all their marketing data in one place, gain better insight into their performance across channels, analyze attribution models, and obtain accurate ROMI data. Companies such as Asus, BayCare and Monster Energy use Improvado to mark their markes.

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.

Manta is a unified data lineage platform that serves as the central hub of all enterprise data flows. Manta can construct lineage from report definitions, custom SQL code, and ETL workflows. Lineage is analyzed based on actual code, and both direct and indirect flows can be visualized on the map. Data paths between files, report fields, database tables, and individual columns are displayed to users in an intuitive user interface, enabling teams to understand data flows in context.

A powerful iPaaS platform for integration and business process automation. Linx is a powerful integration platform (iPaaS) that enables organizations to connect all their data sources, systems, and applications. The platform is known for its programming-like flexibility and the resulting ability to handle complex integrations at scale. It is a popular choice for growing businesses looking to embrace a unified integration strategy.

Alooma allows data teams visibility and control. It connects data from all your data silos into BigQuery in real-time. You can set up and flow data in minutes. Or, you can customize, enrich, or transform data before it hits the data warehouse. Never lose an event. Alooma's safety nets make it easy to handle errors without affecting your pipeline. Alooma infrastructure can handle any number of data sources, low or high volume.

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.

In a developer-friendly visual editor, you can design, debug, run, and troubleshoot data jobflows and data transformations. You can orchestrate data tasks that require a specific sequence and organize multiple systems using the transparency of visual workflows. Easy deployment of data workloads into an enterprise runtime environment. Cloud or on-premise. Data can be made available to applications, people, and storage through a single platform. You can manage all your data workloads and related processes from one platform. No task is too difficult. CloverDX was built on years of experience in large enterprise projects. Open architecture that is user-friendly and flexible allows you to package and hide complexity for developers. You can manage the entire lifecycle for a data pipeline, from design, deployment, evolution, and testing. Our in-house customer success teams will help you get things done quickly.

Talend Data Integration allows you to connect and manage all of your data regardless of where it is located. Connect virtually any data source to any data environment using over 1,000 connectors and component. Drag-and-drop interface makes it easy to create and deploy reusable data pipes. It's 10x faster than hand-coding. Talend has been a leader in scaling large data sets to advanced data analytics and Spark platforms. We partner with top cloud service providers, data warehouses and analytics platforms such as Amazon Web Services, Microsoft Azure and Google Cloud Platform, Snowflake and Databricks. Talend ensures data quality at every stage of data integration. Before inconsistencies disrupt or impact critical decisions, you can identify, highlight, and fix them as data moves through your systems. Connect to data wherever it is, and use it where you want it.

A data model for the industry from IBM is a blueprint that combines best practices, government regulations, and the complex data analysis needs of the industry. A model can help manage data lakes and data warehouses to gain deeper insights that will allow you to make better decisions. These models include business terminology, warehouse design models, and business intelligence templates. This framework is designed for specific industry-specific organizations to help you accelerate your analytics journey. Industry-specific information infrastructures make it easier to analyze and design functional requirements. To model changing requirements, create and rationalize data warehouses with a consistent architecture. To accelerate transformation, reduce risk and deliver better data to all apps. Establish enterprise-wide KPIs to address compliance, reporting, and analysis requirements. To govern your data, use industry data model vocabulary and templates for regulatory reporting.

Rapidi allows you to integrate your CRM system (for instance, Salesforce or Microsoft Dynamics 365 sales) with your ERP system such as Microsoft Dynamics 365 in a simple and quick process. Our data integration solution allows you to integrate Salesforce with any Microsoft Dynamics ERP application or CRM. They are ready for use as-is. You can also customize them to meet your exact specifications, without programming. Microsoft Dynamics and Salesforce Integration projects can be managed easily with minimal disruption for your business, regardless of their scope or size.

We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.

Astera Centerprise, a complete on-premise data management solution, helps to extract, transform profile, cleanse, clean, and integrate data from different sources in a code-free, drag and drop environment. This software is specifically designed for enterprise-level data integration and is used by Fortune 500 companies like Wells Fargo and Xerox, HP, as well as other large corporations such as Xerox, HP, HP, and many others. Enterprises can quickly access accurate, consolidated data to support their day-today decision-making at lightning speed through process orchestration, workflow automation and job scheduling.

Cognos Analytics with Watson brings BI to a new level with AI capabilities that provide a complete, trustworthy, and complete picture of your company. They can forecast the future, predict outcomes, and explain why they might happen. Built-in AI can be used to speed up and improve the blending of data or find the best tables for your model. AI can help you uncover hidden trends and drivers and provide insights in real-time. You can create powerful visualizations and tell the story of your data. You can also share insights via email or Slack. Combine advanced analytics with data science to unlock new opportunities. Self-service analytics that is governed and secures data from misuse adapts to your needs. You can deploy it wherever you need it - on premises, on the cloud, on IBM Cloud Pak®, for Data or as a hybrid option.

Find data insights that will help you solve business and research problems. IBM®, SPSS®, Statistics is a powerful statistical platform. It features a user-friendly interface, a robust set of capabilities that allow your organization to quickly extract actionable insights out of your data. Advanced statistical techniques ensure high quality and accuracy in decision making. All aspects of the analytics lifecycle, from data preparation and management to analysis, reporting and reporting, are covered. An intuitive user interface makes it easy to prepare and analyze data without writing code. You can enhance SPSS syntax with R or Python by using a variety of extensions or building your own. An integrated interface allows you to run advanced and descriptive statistics, regression analysis and decision trees. You can choose from traditional or subscription licenses with multiple capabilities depending on your needs.

Data design software that allows you to model, link, standardize, and integrate distributed data assets across your enterprise. IBM InfoSphere®, Data Architect is a collaborative enterprise-level data modeling and design tool that can simplify and accelerate integration design in business intelligence, master data management, and service-oriented architecture initiatives. InfoSphere Data Architect allows you to collaborate with users at all stages of the data design process: from project management to application development to data design. This tool can help you align processes, applications, and data architectures. Simple warehouse design, dimensional modelling and change management tasks reduce development time. You also have the tools to design and manage warehouses using an enterprise logical model. Column-organized tables that are time stamped and column-organized provide a better understanding of data assets, which can help increase efficiency while reducing time to market.

Opsware is being used by legal and engineering teams to embed privacy workflows throughout their organizations in order to simplify compliance with the latest privacy laws. No programming is required. You can eliminate the tedious work of managing vendors and building data maps. Our data discovery and classification tools make it easy to discover data sources. Our automation technology can complete data requests from customers and consent changes across all data systems and vendors. Your teams can use the same tool and workflow. To ensure compliance and visibility into risk, you can track the flow of personal information within your company. With a single click, we cover all the processes required to create processing records. You have complete control over your company data. You can install our virtual appliance on-premise to ensure that your personal data does not leave your secure data context. Every company collects personal information.

A subscription includes everything needed for high-volume data replication or integration. Log-Based Change Data Capture and a unique compression algorithm ensure low-impact data movement, even at high volumes. RESTful APIs allow workflow automation, streamlining and time savings. HVR offers a variety security features. It also allows data routing through a firewall proxy for hybrid environments. Multi- and bidirectional data movement is supported, giving you the freedom and flexibility to optimize your data flows. All you need to complete your data replication project are included in one license. To ensure customer success, we provide in-depth training, support and documentation. With our Data Validation feature and Live Compare, you can be sure that your data is accurate. All you need to complete your data replication project are included in one license.

Liquid Data Mapper, a flexible data transformation and map tool, allows you to create any combination of mapping. It can even combine data from multiple sources. This tool allows you to visualize data mapping between multiple data sources. You can either execute transform within Liquid Studio, or generate mapping code to use in your own applications. Step through the debugger with breakpoints and stack trace, state, variable watch windows, and state. Liquid Studio Data Mapper is an intuitive interface that allows you to design data transforms. Transforms can be used to map multiple data sources to multiple data output targets. They also perform conditional logic, filtering and string manipulation.

Adeptia Connect assists enterprises in streamlining and speeding up their data onboarding processes by up to 80%. This makes it easy for them to do business with. Adeptia Connect allows business users to access data through a self-service model, accelerating service delivery, and boosting revenues.

BroadPeak, a New York software company, developed K3, a smart data integration solution. K3 is a disruptive data plumbing solution that enables businesses transform, filter, unify, and send data anywhere. K3 offers a wide range of adapters that can be used to connect applications from cloud-based systems to legacy data systems. K3 features include an intuitive mapping interface to make data flow, a When, Then and Else rules engine that enriches fields, filtering to keep data clean, as well as validation logic with alerts.

Software Ideas Modeler is a vital tool in software engineering. It is a CASE tool with many features that can assist you in software design using different diagram notations and modeling tools. Free access to our UML modeler and ERD designer, flowchart creator, wireframing tools and BPMN editor. The diagramming modules can be tailored to specific tasks within a particular domain. You can design your software or key parts with tools such as UML diagrams. Our CASE tool allows you to communicate your design clearly with the help of documentation and glossary modules. Depending on your preference, professionally process the user requirements using Advanced Use Case Analysis or User Stories. Code analytic tools are available for many programming languages. Generate source code scaffolds and code parts with source code generators. You can also use custom code templates.

ER/Studio Enterprise Team Edition, the most popular business-driven data architecture solution, combines multi-platform data modelling, business process modeling, enterprise metadata, and business process modeling for organizations of all sizes. The ER/Studio suite offers a wide range of features, including robust logical and physically modeling with ER/Studio Data Architect and business process and conceptual modeling using ER/Studio Business Architect. There are also business glossaries with ER/Studio Team Server to help you build your data governance programs. Establish a foundation for data governance. First, you need to understand how data flows within your organization. Business process models are the best way to document this. ER/Studio Business Architect allows you to document the relationships between people, processes, data, and other information.

RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.

Amazon QuickSight allows everyone within your organization to access your data. This includes asking questions in natural language, exploring interactive dashboards, and automatically looking for patterns or outliers using machine learning. QuickSight powers millions upon millions of dashboard views per week for customers like the NFL, Expedia and Volvo. This allows their end-users make better data-driven decision making. To receive relevant visualizations, ask questions about your data using Q's ML-powered engine. This allows you to ask conversational questions without the need for data preparation by admins and authors. AWS' machine learning expertise allows you to uncover hidden insights in your data, forecast accurately and do what-if analysis. You can also add natural language narratives or easy-to-understand natural languages to your dashboards using AWS' machine learning expertise. You can embed interactive visualizations and dashboards in your applications, as well as sophisticated dashboard authoring and natural language query capabilities.

Tugger swiftly and securely pulls your data out of your business systems and into data analytics and visualisation tools such as Power BI and Tableau. This enables you to produce state of the art interactive reports. Once your data has been copied across, Tugger also gets you set up with key business reports for a complete end-to-end solution. This saves you masses of time. Tugger is a no code solution that makes your life easier by removing the need for any manual API integrations and reduces the risk of skewed data. No technical knowledge is required and all users get access to Tugger's excellent support team. Tugger provides data connectors for HubSpot, Harvest, Microsoft Teams, JIRA, GitHub, simPRO and more.

A platform for data management powered by AI that allows data democratization. Insights drives innovation by integrating and centralizing all data sources, facilitating collaboration, and empowering organizations for innovation. SCIKIQ, a holistic business platform, simplifies the data complexities of business users through a drag-and-drop user interface. This allows businesses to concentrate on driving value out of data, allowing them to grow and make better decisions. You can connect any data source and use box integration to ingest both structured and unstructured data. Built for business users, easy to use, no-code platform, drag and drop data management. Self-learning platform. Cloud agnostic, environment agnostic. You can build on top of any data environment. The SCIKIQ architecture was specifically designed to address the complex hybrid data landscape.

Feedonomics is the #1 full-service product feed platform. Easily publish optimized product listings on hundreds of ad channels and marketplaces, such as Google Shopping, Facebook, Amazon, eBay, Walmart, and more. As a leading product feed management platform, Feedonomics partners with agencies, brands, and retailers to optimize and list their products on the top ecommerce shopping destinations around the world. What makes us different from other SaaS companies in the space? We manage everything from integration and full-service onboarding to ongoing feed maintenance for our clients, enabling them to expand their ecommerce business more efficiently. Since its inception in 2014, Feedonomics has developed an incredible reputation for our full-service approach to feed management, our inclusive culture, and our industry-leading technology. With principles that go beyond optics, Feedonomics looks to deliver the same people-first strategy internally as we do externally.

MagicDraw supports UML 2 metamodel. This is the most recent XMI standard for data storage, and the most popular programming languages to implement. MagicDraw makes it simple to create a Software Development Life Cycle environment (SDLC) that suits your business's needs. Our Open API and standard approach make it easy to integrate with other applications that support your business's needs. We integrate with many top products, including IDEs, requirements and testing, estimation, MDD, databases, and other tools. MagicDraw is independent from any particular software development process. It conforms well to your company's process and allows centralization of business process modeling, requirements capture, and design. MagicDraw isn't tied to any phase of your project.

Anzo is a modern data integration and discovery platform that allows anyone to find, connect, and blend enterprise data into analytics-ready datasets. Anzo's unique use semantics and graph models makes it possible for anyone in your company - from data scientists to novice business users to drive data discovery and integration and create their own analytics-ready data sets. Anzo's graph models give business users a visual map of enterprise data that is easy for them to understand and navigate, regardless of how complex, siloed, or large their data may be. Semantics adds business content to data. It allows users to harmonize data using shared definitions and create blended, business-ready data upon demand.

ER/Studio Enterprise Team Edition allows data modelers and architects the ability to share data models and metadata throughout an enterprise. It offers a complete solution to enterprise architecture and data governance.

Easy to use interface for creating and editing database models. These forms show which fields need to be filled in order to generate the correct SQL code. The source code is free to download, modify, and distribute. This project has a public repository which allows forks and full accessibility to the source code. Developers can create their versions from the existing code. Built on top the Qt framework, PgModeler can be compile on Windows, Linux, and macOS. You can easily configure the build scripts to resolve specific dependencies for each operating system. You can design once and export to multiple versions. pgModeler's dynamic code generation allows you to export your designed models to different PostgreSQL versions (currently, from 9.x to 13x). Are you missing some functionality? You can create your own extension for the pgModeler using the plug-in interface without changing a single line in the core code.

With SAP PowerDesigner software, you can create a blueprint of your enterprise architecture and visualize the impact on change. You can instantly capture your requirements and architecture layers, tap into a powerful repository of metadata, and share your discoveries with your team using capabilities like data modeling, link-and-sync, and metadata management. Link-and-sync technology allows you to create tight connections between your company’s unique requirements, data models, and language. A secure metadata repository supports all types of modeling and allows developers to exchange information with enterprise architects. A flexible, wizard-driven system that allows for Web-based reporting and documentation can simplify the lives of your IT staff and users.

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.

You can use the most appropriate modeling techniques to meet your business needs. You will receive a support that ensures collaboration between people and a range expertise, as well as dedicated methodological support. You can adapt the platform to suit your organization (actors, roles, expertise, projects and federated organisations). All models and documentation can be stored in a consistent and standardised repository. You can share information instantly through WEB portals and up-to-date documents. Define the common language that is appropriate to each participant. Manage the repository. You have software that can adapt to the changes in load of projects or teams. No matter where they are located, teams can access the solution. Permanent support at both the functional and material levels.

IBM® Sterling Transformation Extender allows your company to integrate industry-based customer and supplier transactions across the enterprise. It automates complex transformations and validates data between a variety of formats and standards. Data can be transformed on-premises or in cloud. Advanced transformation support is also available for metadata for compliance checking, mapping, and other related functions for specific industries such as finance, healthcare, or supply chain. Industry standards, unstructured or structured data, and custom formats. On-premises, hybrid, private and public cloud. It offers a rich user experience and RESTful APIs. Automates complex transformations and validations of data between different formats and standards. Any-to-any data conversion. Containerized for cloud deployments. Modern user experience. ITX industry-specific packs

It is difficult to find searchable solutions amongst a sea of unstructured data. Our technicians are trained in spotting hidden patterns and trends in this tangled web. This process will allow us to gather, catalog, annotate, then combine it into a user-friendly format that can be used to make critical decisions. This allows us to generate actionable insights that can be used to grow our business. Visible Systems understands that traditional data analysis tools can only analyze data in a certain format. Most data is not formatted because it comes from multiple sources. Data discovery allows us to combine and format data from different sources to simplify analysis. This allows us to deliver data in the correct format and in a timely manner. Data discovery is a continuous process. We recognize that old data is just as valuable as new data.

Datuum is an AI-powered data integration tool that offers a unique solution for organizations looking to streamline their data integration process. With our pre-trained AI engine, Datuum simplifies customer data onboarding by allowing for automated integration from various sources without coding. This reduces data preparation time and helps establish resilient connectors, ultimately freeing up time for organizations to focus on generating insights and improving the customer experience. At Datuum, we have over 40 years of experience in data management and operations, and we've incorporated our expertise into the core of our product. Our platform is designed to address the critical challenges faced by data engineers and managers while being accessible and user-friendly for non-technical specialists. By reducing up to 80% of the time typically spent on data-related tasks, Datuum can help organizations optimize their data management processes and achieve more efficient outcomes.

Interactive dashboards and beautiful reports let you unlock the power of your data to make better business decisions. It's simple and free. Access a variety of data easily. Data Studio's integrated and partner connectors make it easy to connect to almost any type of data. Data visualization art can transform your data into compelling stories. Data Studio's web-based reporting tools make it easy to quickly create interactive reports and dashboards. Your dashboards and reports can be shared with people, teams, or the entire world. Collaborate in real time. You can embed your report on any webpage.

Altova MapForce, an award-winning graphical data mapping tool that allows for any-to–any conversion and integration, is a winner. Its powerful data mapping tools instantly convert your data and offer multiple options to automate repetitive transformations. Altova MapForce provides unparalleled power and flexibility to perform advanced data mapping, conversion, or transformation. The MapForce Platform costs a fraction of traditional data management products. It is also free from legacy design features and baggage that can make it difficult to use. MapForce's interface allows data integration through a graphical interface. It includes many options for managing, visualizing and manipulating individual maps and complex projects. The design pane allows you to graphically create mapping components, add filters and functions for data manipulation, as well as drag connectors to convert between source and destination formats.

Aggua is an AI platform with augmented data fabric that gives data and business teams access to their data. It creates Trust and provides practical Data Insights for a more holistic and data-centric decision making. With just a few clicks, you can find out what's happening under the hood of your data stack. You can access data lineage, cost insights and documentation without interrupting your data engineer's day. With automated lineage, data engineers and architects can spend less time manually tracing what data type changes will break in their data pipelines, tables, and infrastructure.

Atlas integrates with your workflow by organizing text, embedding datasets and creating interactive maps that can be explored in a web browser. To understand your data, you don't need to scroll through Excel files or log Dataframes. Atlas automatically analyzes, organizes, and summarizes your documents, surfacing patterns and trends. Atlas' pre-organized data interface makes it easy to quickly identify and remove any data that could be harmful to your AI projects. You can label and tag your data, while cleaning it up with instant sync to your Jupyter notebook. Although vector databases are powerful, they can be difficult to interpret. Atlas stores, visualizes, and allows you to search through all your vectors within the same API.

Dell Boomi AtomSphere makes it easy to integrate all of your business applications. Dell Boomi AtomSphere is a single-instance, multitenant integration platform as an service (iPaaS). It gives enterprises and their teams full access to all capabilities that speed up integrations. Boomi AtomSphere's enterprise-grade performance and visual interface can guarantee scalability, high availability, and support for all your app integration requirements.

Your company can think data automation "first" to make digital transformation a reality. Data Automation allows you to better serve your customers. Data Automation allows you to work more efficiently. It frees employees from repetitive, mundane work and allows them to concentrate on solving problems and creating value. You can accelerate data projects by allowing non-IT data experts and data specialists to consolidate, categorize and master data. Digital transformations can be made easier by automating large amounts of data management via human-guided machinelearning. You can increase the speed of business outcomes by leveraging accurate, complete data that is automatically curated for data visualization tools or analytic insights. It integrates with your company's core applications and existing applications and automates data management and communication. Data Automation by Io-Tahoe automates repetitive, high-volume data tasks quickly once it is in place.

Migration to a new app? What data will you migrate? How will you get the data into your new application? Many applications offer mechanisms to import base data, e.g. Most applications don't support historical data, such as open items, customers, or products. How will you prepare for the differences in the data and how will the business handle historical data? Don't worry. DataBridger will help you navigate the path to a successful migration. Unsurpassed transformation capabilities to deal structural differences. Features that help with relationship differences. Built-in data validation methodologies. Built-in features that allow you to migrate incrementally. Prepare data for migration. All or part of the historical data can be moved. Make a historical data environment. If necessary, archive the data for retrieval. Experts are available to assist you with any questions.

Apache Spark™, a unified analytics engine that can handle large-scale data processing, is available. Apache Spark delivers high performance for streaming and batch data. It uses a state of the art DAG scheduler, query optimizer, as well as a physical execution engine. Spark has over 80 high-level operators, making it easy to create parallel apps. You can also use it interactively via the Scala, Python and R SQL shells. Spark powers a number of libraries, including SQL and DataFrames and MLlib for machine-learning, GraphX and Spark Streaming. These libraries can be combined seamlessly in one application. Spark can run on Hadoop, Apache Mesos and Kubernetes. It can also be used standalone or in the cloud. It can access a variety of data sources. Spark can be run in standalone cluster mode on EC2, Hadoop YARN and Mesos. Access data in HDFS and Alluxio.

Your engineers can focus on the core elements of your business while you let them do the rest. Pulter is the fastest spreadsheet import tool you can use. It can be installed in minutes. Pulter makes it easy to import customer data into your system quickly. Instead of struggling with clunky data, let your customers experience the core benefits of your product. It's not easy to trust a third party with your customer's information. That's why we don’t store customer data anywhere on our platform. We offer several ways to access your customer's data. Pulter is easy to set up and customize. You can also modify the workflow to match your brand and make it more compatible with your brand. To allow customers to submit spreadsheets to your app, add a snippet from our code.

AI insights that save money and optimize spending can be gained by combining performance data, automating reporting and integrating unified data. Create an active analysis system. Create new insights using a connected library with more than 170 connectors to intake data from all major advertising, commerce and CRM vendors. Make your IT team more productive with constant connector updates and turnkey installations. You can enter your credentials, and start unifying cross-channel marketing in minutes. Dashboards and reporting tell the story of the big picture. What about actionable insights, though? You can choose a KPI that you want to improve, and create a pipeline of AI insights that is always available. You can answer questions such as how to reduce spending by lowering CPM, or dig deeper to find out what creative had the biggest outlier effects during a recent campaign. Einstein analyzes all your data and ranks insights on what drives the most engagement.

No downtime required for data migration, applications and workloads. Arcserve Live migration was created to minimize disruptions during cloud transformation. You can easily move data, applications, and workloads to the cloud destination or target destination of choice while your business is still running. You can simplify the process by orchestrating the transfer to the destination destination. All aspects of cloud migration can be managed from one central console. Arcserve Live migration simplifies the process for migrating data and applications. Its flexible architecture allows you to move almost any type of data or work to the cloud, on-premises, or remote locations. This includes support for virtual, cloud, and physical systems. Arcserve Live migration automatically synchronizes files and databases on Windows and Linux systems with a second virtual or physical environment. This can be either on-premises, remote, or in cloud.