Alternatives to Osmos

Rayven is a user-friendly SaaS platform that solves businesses' challenges with interoperability, real-time data, and app development - without the need to replace legacy systems, increase risk, or endure lengthy development times. Combining iPaaS, Data, IoT, Workflow Automation, Analytics, BI, AI, App Development, and PaaS into one solution, Rayven makes system integration, real-time data processing, and custom app creation simple. It's designed to help you overcome complex business issues effortlessly. With Rayven, you can: - Connect any system, device, or data source - Quickly create workflows and applications - Add AI and automation, tailored to your needs, anywhere Rayven is intuitive, fully compatible with any technology, and infinitely scalable. It optimises your existing tools, making real-time, AI-driven decision-making accessible to businesses of all sizes at an affordable price.

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.

Rivery’s ETL platform consolidates, transforms, and manages all of a company’s internal and external data sources in the cloud. Key Features: Pre-built Data Models: Rivery comes with an extensive library of pre-built data models that enable data teams to instantly create powerful data pipelines. Fully managed: A no-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on mission-critical priorities rather than maintenance. Multiple Environments: Rivery enables teams to construct and clone custom environments for specific teams or projects. Reverse ETL: Allows companies to automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.

The most accurate, complete, and timely data provides the best insight. Minitab Connect empowers data users across the enterprise with self service tools to transform diverse data into a network of data pipelines that feed analytics initiatives, foster collaboration and foster organizational-wide collaboration. Users can seamlessly combine and explore data from various sources, including databases, on-premise and cloud apps, unstructured data and spreadsheets. Automated workflows make data integration faster and provide powerful data preparation tools that allow for transformative insights. Data integration tools that are intuitive and flexible allow users to connect and blend data from multiple sources such as data warehouses, IoT devices and cloud storage.

Flatfile is an advanced data exchange platform that simplifies the process of importing, cleaning, transforming, and managing data for businesses. It provides a robust suite of APIs, allowing seamless integration into existing systems for efficient file-based data workflows. With an intuitive interface, the platform supports easy data management through features like search, sorting, and automated transformations. Built with strict compliance to SOC 2, HIPAA, and GDPR standards, Flatfile ensures data security and privacy while leveraging a scalable cloud infrastructure. By reducing manual effort and improving data quality, Flatfile accelerates data onboarding and supports businesses in achieving better operational efficiency.

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.

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.

OneSchema is an embedded spreadsheet importer and validater. OneSchema is used by product and engineering teams to avoid the complicated and costly process of building and maintaining spreadsheet imports. OneSchema is a tool for all businesses. It empowers product and engineering teams to create beautiful, performant, fully customized spreadsheet importers within hours, not months. Your customers can upload, validate, clean, and clean their data during onboarding.

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.

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.

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.

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.

Dromo, a self-service importer of data files, can be deployed in minutes and allows users to import data from CSV, XLSX and other formats. It provides an embeddable data file importer that guides users in validating, cleaning and transforming files. This ensures the final output is of high quality and meets the expected format. Dromo's AI column matching makes it easy to map imported data into your schema. Its powerful validations are integrated seamlessly with your application. The platform is secure with features such as private mode, which allows data to be processed within the web browser of the user, and direct writing from the browser directly to your cloud storage. Dromo is GDPR-ready and SOC 2-certified, putting an emphasis on data privacy and security. It offers customization options that match your brand style and supports a wide range of language options.

IBM® StreamSets allows users to create and maintain smart streaming data pipelines using an intuitive graphical user interface. This facilitates seamless data integration in hybrid and multicloud environments. IBM StreamSets is used by leading global companies to support millions data pipelines, for modern analytics and intelligent applications. Reduce data staleness, and enable real-time information at scale. Handle millions of records across thousands of pipelines in seconds. Drag-and-drop processors that automatically detect and adapt to data drift will protect your data pipelines against unexpected changes and shifts. Create streaming pipelines for ingesting structured, semistructured, or unstructured data to deliver it to multiple destinations.

Impler is a free open-source data import infrastructure that allows engineering teams to create rich data import experiences, without having to reinvent the wheel. It has a guided importer which guides users through the data import process. Smart auto mappings align user file headers with specified columns, reducing errors. Robust validations ensure that each cell meets the defined rules and schema. The platform offers validation hooks that allow developers to write JavaScript code for validating data against databases. It also has an Excel template generator which creates templates based on defined column definitions. Impler allows users to import data with images. Users can upload images along with data records. It also offers an auto-import function to fetch and automatically import data on a schedule.

CSVBox is an importer tool for CSV files that can be used in web applications, SaaS platforms and APIs. Users can add a CSV widget to their app within minutes. It offers a sophisticated uploading experience that allows users to select a spreadsheet, map CSV headers to a data model with automatic matching recommendations, and validate data within the widget for clean and error-free data uploads. The platform supports a variety of file types including CSV, XLSX and XLS and includes features such as smart columns matching, client-side validation and progress bar uploads. These features are designed to increase user confidence in the upload process. CSVBox offers no-code configuration that allows users to define data models and validation rules via a dashboard, without having to modify existing code. It also offers import links that accept files without embedding widgets or custom attributes.

Data comes from all directions, increasing in complexity and scale. Data can contain knowledge and insight that are full of potential. This potential can only be fully realized when it is integrated into every decision and action taken by the organization, second by second. Data changes with the business, which leads to new insights and knowledge. It is a cycle. Learn and adapt. Industries such as entertainment, financial services, healthcare, telecommunications and manufacturing have all recognized the potential. It is both challenging as well as exciting to get there. It takes new levels of speed, agility, and speed to understand, manage, and process vast amounts of constantly changing data. Complex organizations need a high-performance data platform that can automate and provide self-service. It can also thrive in change and adapt to new realities.

Integrate your systems to allow real-time data exchange. Automate workflows to reduce human error and improve productivity. With our pre-designed integration templates, you can set up, modify, and launch your integration in just a few clicks. Integrating different systems can improve cross-team collaboration. Instantly send and receive updates. All comments, attachments, as well as related data, can be transferred to your systems instantly. Integration of your systems will automate many of the most tedious tasks and reduce operational costs. In the event of a system failure, protect your data. ZigiOps does not have a database so the data that is transferred is not stored. Our integration tool allows users to connect entities at any level with advanced data mapping and filtering.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

DataPostie, a SaaS-based platform, allows you to easily and safely monetize your data. We can connect to any data type or source and deliver it to any destination. Make your data products valuable and quickly. Transform your data into revenue. Data that is messy is the biggest obstacle companies face when they want to turn their data from being a cost center to a revenue generator. We reduce the time from years to weeks when we focus on the data required for the customer-facing product. Some notable wins include enabling an ecommerce fashion company to build a benchmarking product for their suppliers by matching millions different product names across suppliers, and building a datamodel for a financial data providers messy schema in just days.

All your ELT data pipelines, including custom ones, will be up and running in minutes. Your team can focus on innovation and insights. Unify all your data integration pipelines with one open-source ELT platform. Airbyte can meet all the connector needs of your data team, no matter how complex or large they may be. Airbyte is a data integration platform that scales to meet your high-volume or custom needs. From large databases to the long tail API sources. Airbyte offers a long list of connectors with high quality that can adapt to API and schema changes. It is possible to unify all native and custom ELT. Our connector development kit allows you to quickly edit and create new connectors from pre-built open-source ones. Transparent and scalable pricing. Finally, transparent and predictable pricing that scales with data needs. No need to worry about volume. No need to create custom systems for your internal scripts or database replication.

Unify Your Data Stack: Experience the first no-code data pipeline platform and power enlightened decision making. Integrate.io is the only complete set of data solutions & connectors for easy building and managing of clean, secure data pipelines. Increase your data team's output with all of the simple, powerful tools & connectors you’ll ever need in one no-code data integration platform. Empower any size team to consistently deliver projects on-time & under budget. Integrate.io's Platform includes: -No-Code ETL & Reverse ETL: Drag & drop no-code data pipelines with 220+ out-of-the-box data transformations -Easy ELT & CDC :The Fastest Data Replication On The Market -Automated API Generation: Build Automated, Secure APIs in Minutes - Data Warehouse Monitoring: Finally Understand Your Warehouse Spend - FREE Data Observability: Custom Pipeline Alerts to Monitor Data in Real-Time

Talend Pipeline designer is a self-service web application that transforms raw data into analytics-ready data. Create reusable pipelines for extracting, improving, and transforming data from virtually any source. Then, pass it on to your choice of destination data warehouses, where you can use it as the basis for dashboards that drive your business insights. Create and deploy data pipelines faster. With an easy visual interface, you can design and preview batch or streaming data directly in your browser. Scale your hybrid and multi-cloud technology with native support and improve productivity through real-time development. Live preview allows you to visually diagnose problems with your data. Documentation, quality assurance, and promotion of datasets will help you make better decisions faster. Transform data to improve data quality using built-in functions that can be applied across batch or stream pipelines. Data health becomes an automated discipline.

CData Sync is a universal database pipeline that automates continuous replication between hundreds SaaS applications & cloud-based data sources. It also supports any major data warehouse or database, whether it's on-premise or cloud. Replicate data from hundreds cloud data sources to popular databases destinations such as SQL Server and Redshift, S3, Snowflake and BigQuery. It is simple to set up replication: log in, select the data tables you wish to replicate, then select a replication period. It's done. CData Sync extracts data iteratively. It has minimal impact on operational systems. CData Sync only queries and updates data that has been updated or added since the last update. CData Sync allows for maximum flexibility in partial and full replication scenarios. It ensures that critical data is safely stored in your database of choice. Get a 30-day trial of the Sync app for free or request more information at www.cdata.com/sync

Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineering time/week and 10x faster reporting, analytics, and decision making. The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. Over 500 data-driven companies spread across 35+ countries trust Hevo for their data integration needs.

With your own data shop, create new revenue streams from the data you already have. Narrative focuses on the fundamental principles that make buying or selling data simpler, safer, and more strategic. You must ensure that the data you have access to meets your standards. It is important to know who and how the data was collected. Access new supply and demand easily for a more agile, accessible data strategy. You can control your entire data strategy with full end-to-end access to all inputs and outputs. Our platform automates the most labor-intensive and time-consuming aspects of data acquisition so that you can access new data sources in days instead of months. You'll only ever have to pay for what you need with filters, budget controls and automatic deduplication.

The Magic EDI platform is a centralized service designed to automate data exchanges between business partners. It improves efficiency, accuracy and agility. It supports a variety of EDI messaging and transport protocols to enable seamless integration with different systems. The platform's architecture of one-to-many allows for a single business process connection, regardless of how many partners are connected. This simplifies deployment and maintenance. Magic EDI's platform allows for rapid digital connections with over 10,000 preconfigured EDI profiles and more 100 certified connectors. These include SAP, Salesforce SugarCRM and JD Edwards. It also offers a self service onboarding portal, which reduces setup costs and time. The platform provides end-to-end transparency into each EDI transacation, automates updates from suppliers through standard EDI messaging and integrates with the freight management system.

Create data products in seconds from any source, without moving data. You can make them available to anyone while still maintaining total control. Deliver powerful experiences to unlock the value. Enhance your data mesh through seamless sharing, discovery, and governance of data across domains. Unified access to high-quality products will accelerate innovation and foster collaboration. Access AI models for all users. Control the way data interacts with AI in order to protect intellectual property. Automate AI workflows for rapid integration and iteration of new capabilities. Snowflake allows you to access and build data products without having to move any data. Enjoy the ease of getting even more out of your data. Allow anyone to easily analyze data, and eliminate the need for central provisioning of infrastructure and software. Data products are seamlessly integrated with tools to ensure governance and speed up outcomes.

Integrate AI-powered mapping of data into your systems. Never again waste time on data management. Lume platform provides visibility and management of all your data pipelines, mappings and other related information. Data mappers can be reviewed, edited, and deployed in seconds. They can also be used indefinitely. In seconds, you can ingest the unique data of your customers and partners to increase the number of customers and partners that you onboard. Normalize messy data, which is different from all the legacy systems you are ingesting. Create hundreds of data pipelines instantly, reading and writing from any source model and any destination model. Detect changes in your source data and target models and automatically retransform the data. Transform data using AI to handle complex data mappings.

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.

Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.

Capture your unstructured data to meet all of your LLM requirements. Datavolo replaces point-to-point, single-use code with flexible, reusable, fast pipelines. This allows you to focus on the most important thing, which is doing amazing work. Datavolo gives you an edge in the competitive market. Get unrestricted access to your data, even the unstructured files on which LLMs depend, and boost your generative AI. You can create pipelines that will grow with you in minutes and not days. Configure instantly from any source to any location at any time. {Trust your data because lineage is built into every pipeline.|Every pipeline includes a lineage.} Pipelines and configurations that are only used once can be a thing of past. Datavolo is a powerful tool that uses Apache NiFi to harness unstructured information and unlock AI innovation. Our founders have dedicated their lives to helping organizations get the most out of their data.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

Stitch is a cloud-based platform that allows you to extract, transform, load data. Stitch is used by more than 1000 companies to move billions records daily from SaaS databases and applications into data warehouses or data lakes.

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Etleap was created on AWS to support Redshift, snowflake and S3/Glue data warehouses and data lakes. Their solution simplifies and automates ETL through fully-managed ETL as-a-service. Etleap's data wrangler allows users to control how data is transformed for analysis without having to write any code. Etleap monitors and maintains data pipes for availability and completeness. This eliminates the need for constant maintenance and centralizes data sourced from 50+ sources and silos into your database warehouse or data lake.

Crux is used by the most powerful people to increase external data integration, transformation and observability, without increasing their headcount. Our cloud-native data technology accelerates the preparation, observation, and delivery of any external dataset. We can guarantee you receive high-quality data at the right time, in the right format, and in the right location. Automated schema detection, delivery schedule inference and lifecycle management are all tools that can be used to quickly build pipelines from any external source of data. A private catalog of linked and matched data products will increase your organization's discoverability. To quickly combine data from multiple sources and accelerate analytics, enrich, validate, and transform any data set, you can enrich, validate, or transform it.

ZinkML is an open-source data science platform that does not require any coding. It was designed to help organizations leverage data more effectively. Its visual and intuitive interface eliminates the need for extensive programming expertise, making data sciences accessible to a wider range of users. ZinkML streamlines data science from data ingestion, model building, deployment and monitoring. Users can drag and drop components to create complex pipelines, explore the data visually, or build predictive models, all without writing a line of code. The platform offers automated model selection, feature engineering and hyperparameter optimization, which accelerates the model development process. ZinkML also offers robust collaboration features that allow teams to work seamlessly together on data science projects. By democratizing the data science, we empower businesses to get maximum value out of their data and make better decisions.

Simple configuration allows you to expose and consume API's for legacy applications. Real-time data exchange allows you to capture and feed big data repositories, without the need for development. Simple and straightforward configuration allows for easy change control over the cloud integration landscape. Integration of disparate data and systems is a common business problem across all sizes. Integration can be found in many areas, whether it's on-premise (between apps), in the cloud or between the clouds. The Adaptris Interlok™, Integration Framework is an event-based framework that allows architects to quickly connect different applications, data standards, and communications standards to create an integrated solution. Easy connection to hundreds of applications, communications protocols, and data standards. To reduce latency for repeated calls to slow or distant back end systems, you can cache data.

Alibaba Cloud Data Integration (ACI) is a comprehensive platform for data synchronization that allows real-time data exchange between various data sources and networks. It also facilitates offline data exchange. It supports data synchronization across more than 400 pairs disparate data sources including RDS databases (such as audio and video), semi-structured and non-structured data storage (such images and videos), NoSQL database and big data storage. The platform also allows real-time data reading, writing, and synchronization between data sources like Oracle, MySQL, DataHub, and others. Data Integration allows users schedule offline tasks using trigger times such as year, month day, hour and minute. This simplifies the configuration of periodic incremental extraction. It integrates seamlessly into DataWorks data modelling, providing a workflow that is integrated for operations and maintenance. The platform uses Hadoop clusters' computing power to synchronize HDFS to MaxCompute.

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.

Discover insights to boost sales growth with code-free, fully automated data pipelines to data lakes and cloud warehouses. Flexible, standards-based platform that unifies sales and marketing data to automate insights and smarter growth. Say goodbye to manual data downloads that are expensive and messy. You will always know exactly what you'll be charged and only pay what you actually use. Access to data-ready data is a great way to fuel your tools. We only work with official APIs as certified developers. Data pipelines from well-known sources are easy to use. These data pipelines are pre-built, pre-transformed and ready to go. Unlock data from Amazon Vendor Central and Amazon Seller Central, Instagram Stories. Teams can quickly and economically realize the value of their data with code-free data ingestion and transformation. Databricks, Amazon Redshift and other trusted data destinations like Databricks or Amazon Redshift ensure that data is always protected.

Cloud-Native ETL tool. You can load and transform data to your cloud data warehouse in minutes. We have redesigned the traditional ETL process to create a solution for data integration in the cloud. Our solution makes use of the cloud's near-infinite storage capacity, which means that your projects have near-infinite scaling. We reduce the complexity of moving large amounts data by working in the cloud. In just fifteen minutes, you can process a billion rows and go live in five minutes. Modern businesses need to harness their data to gain greater business insight. Matillion can help you take your data journey to the next level by migrating, extracting, and transforming your data in cloud. This will allow you to gain new insights as well as make better business decisions.

Open core, delivering hybrid cloud and multi-cloud integration Data Fusion is built with open source project CDAP. This open core allows users to easily port data from their projects. Cloud Data Fusion users can break down silos and get insights that were previously unavailable thanks to CDAP's integration with both on-premises as well as public cloud platforms. Integrated with Google's industry-leading Big Data Tools Data Fusion's integration to Google Cloud simplifies data security, and ensures that data is instantly available for analysis. Cloud Data Fusion integration makes it easy to develop and iterate on data lakes with Cloud Storage and Dataproc.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.

Gathr is a Data+AI fabric, helping enterprises rapidly deliver production-ready data and AI products. Data+AI fabric enables teams to effortlessly acquire, process, and harness data, leverage AI services to generate intelligence, and build consumer applications— all with unparalleled speed, scale, and confidence. Gathr’s self-service, AI-assisted, and collaborative approach enables data and AI leaders to achieve massive productivity gains by empowering their existing teams to deliver more valuable work in less time. With complete ownership and control over data and AI, flexibility and agility to experiment and innovate on an ongoing basis, and proven reliable performance at real-world scale, Gathr allows them to confidently accelerate POVs to production. Additionally, Gathr supports both cloud and air-gapped deployments, making it the ideal choice for diverse enterprise needs. Gathr, recognized by leading analysts like Gartner and Forrester, is a go-to-partner for Fortune 500 companies, such as United, Kroger, Philips, Truist, and many others.

Meltano offers the most flexibility in deployment options. You control your data stack from beginning to end. Since years, a growing number of connectors has been in production. You can run workflows in isolated environments and execute end-to-end testing. You can also version control everything. Open source gives you the power and flexibility to create your ideal data stack. You can easily define your entire project in code and work confidently with your team. The Meltano CLI allows you to quickly create your project and make it easy to replicate data. Meltano was designed to be the most efficient way to run dbt and manage your transformations. Your entire data stack can be defined in your project. This makes it easy to deploy it to production.

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.

Openprise is a single platform that doesn't require any code. It allows you to automate hundreds sales and marketing processes, allowing you to realize all the benefits you promised from your RevTech investments. You could try to fix this by creating dozens of point solutions in a "Frankentecture". However, quality and SLAs will suffer if you have people who are less excited about tedious manual tasks than you. Openprise is a single platform that uses no code. It combines the best business rules and data to manage hundreds of processes such as data cleansing, account scoring and lead routing. Openprise automates the manual processes, such as lead routing and attribute, that are not automated by other sales and marketing automation platforms.

Qlik Compose for Data Warehouses offers a modern approach to data warehouse creation and operations by automating and optimising the process. Qlik Compose automates the design of the warehouse, generates ETL code and quickly applies updates, all while leveraging best practices. Qlik Compose for Data Warehouses reduces time, cost, and risk for BI projects whether they are on-premises, or in the cloud. Qlik Compose for Data Lakes automates data pipelines, resulting in analytics-ready data. By automating data ingestion and schema creation, as well as continual updates, organizations can realize a faster return on their existing data lakes investments.