Alternatives to Nextflow Tower

Data-driven computational pipelines. Nextflow allows for reproducible and scalable scientific workflows by using software containers. It allows adaptation of scripts written in most common scripting languages. Fluent DSL makes it easy to implement and deploy complex reactive and parallel workflows on clusters and clouds. Nextflow was built on the belief that Linux is the lingua Franca of data science. Nextflow makes it easier to create a computational pipeline that can be used to combine many tasks. You can reuse existing scripts and tools. Additionally, you don't have to learn a new language to use Nextflow. Nextflow supports Docker, Singularity and other containers technology. This, together with integration of the GitHub Code-sharing Platform, allows you write self-contained pipes, manage versions, reproduce any configuration quickly, and allow you to integrate the GitHub code-sharing portal. Nextflow acts as an abstraction layer between the logic of your pipeline and its execution layer.

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.

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.

Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.

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.

Transforming complex data networks to clear insights. Dtangle uses a revolutionary open source technology from CERN, and AI-assistants to transform complex data landscapes into actionable insights. Our revolutionary solutions will help you sift data with precision and isolate the essentials. Dtangle's visual analysis tools allow you to explore data from different angles, ensuring you are always presented with valuable threads. Even the most complex data networks can be made understandable by translating complexity into visuals which speak clarity. Dtangle provides advanced visual tools that help companies understand their data patterns. Even those with no data background can benefit from the user-friendly interfaces. Dtangle takes the analysis of data to a new level. Data science can be used to go beyond traditional data and network analyses.

The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.

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.

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.

AWS Data Pipeline, a web service, allows you to reliably process and transfer data between different AWS compute- and storage services as well as on premises data sources at specific intervals. AWS Data Pipeline allows you to access your data wherever it is stored, transform it and process it at scale, then transfer it to AWS services like Amazon S3, Amazon RDS and Amazon DynamoDB. AWS Data Pipeline makes it easy to create complex data processing workloads that can be fault-tolerant, repeatable, high-availability, and reliable. You don't need to worry about resource availability, managing intertask dependencies, retrying transient errors or timeouts in individual task, or creating a fail notification system. AWS Data Pipeline allows you to move and process data previously stored in on-premises silos.

Kestra is a free, open-source orchestrator based on events that simplifies data operations while improving collaboration between engineers and users. Kestra brings Infrastructure as Code to data pipelines. This allows you to build reliable workflows with confidence. The declarative YAML interface allows anyone who wants to benefit from analytics to participate in the creation of the data pipeline. The UI automatically updates the YAML definition whenever you make changes to a work flow via the UI or an API call. The orchestration logic can be defined in code declaratively, even if certain workflow components are modified.

Bitfount provides a platform for distributed data sciences. We enable deep data collaborations that do not require data sharing. Distributed data science connects algorithms to data and not the other way around. In minutes, you can set up a federated privacy protecting analytics and machine learning network. This will allow your team to focus on innovation and insights instead of bureaucracy. Although your data team is equipped with the skills to solve your most difficult problems and innovating, they are hindered by data access barriers. Are you having trouble accessing your data? Are compliance processes taking too much time? Bitfount offers a better way for data experts to be unleashed. Connect siloed or multi-cloud data sources while protecting privacy and commercial sensitivity. No expensive, time-consuming data lift-and-shift. Useage-based access control to ensure that teams only do the analysis you need, with the data you want. Transfer access control management to the teams that have the data.

Easily extract, transform, manage & process CAD data, FE data, CFD and test results. Create automatic data pipelines to support machine learning, deep learning, and ROM. Data science barriers can be removed without coding. Key Ward's platform, the first engineering no-code end-to-end solution, redefines how engineers work with their data. Our software allows engineers to handle multi-source data with ease, extract direct value using our built-in advanced analytical tools, and build custom machine and deep learning model with just a few clicks. Automatically centralize, update and extract your multi-source data, then sort, clean and prepare it for analysis, machine and/or deep learning. Use our advanced analytics tools to correlate, identify patterns, and find dependencies in your experimental & simulator data.

Integrated data clean room platform for activation. Publishers and advertisers can use Optable's data clean room technology for secure planning, activation and measurement of advertising campaigns. A new generation of data collaboration software that protects privacy. Customers of Optable can collaborate with customers and partners who are not Optable users. Flash Nodes on the platform allow you to invite others into a secure environment. Optable provides a decentralized infrastructure for identity, which allows the creation of private identity graphs. The infrastructure allows for the creation of permission-based, purpose-limited data clean rooms to minimize data movement. Interoperability between data warehouses and data clean rooms is essential. Our open-source software allows third party platforms to match data and Optable customers as well as implement secure cleaning functions for their own purposes.

Data collaboration made easy. We make collaboration easy for developers looking to innovate and data people looking for version control. TerminusDB is an open source knowledge graph database that allows for reliable, private and efficient revision control and collaboration. Nothing will make it easier to collaborate with others or create data-intensive apps. TerminusDB offers a full range of revision control features. TerminusHub allows users access to databases and to collaborate on shared resources. Flexible data storage, versioning, and sharing capabilities. Integration into your app or team collaboration. You can work locally and sync your changes when you push them. Easy querying, cleaning, visualization. You can integrate powerful version control and collaboration to your enterprise and individual customers. Remote data teams can collaborate on data projects easily.

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.

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.

BDB is a modern data analysis and BI platform that can dig deep into your data to uncover actionable insights. It can be deployed on-premise or in the cloud. Our unique microservices-based architecture includes elements such as Data Preparation and Predictive, Pipeline, Dashboard designer, and Pipeline. This allows us to offer customized solutions and scalable analysis to different industries. BDB's NLP-based search allows users to access the data power on desktop, tablet, and mobile. BDB is equipped with many data connectors that allow it to connect to a variety of data sources, apps, third-party API's, IoT and social media. It works in real-time. It allows you to connect to RDBMS and Big data, FTP/ SFTP Server flat files, web services, and FTP/ SFTP Server. You can manage unstructured, semi-structured, and structured data. Get started on your journey to advanced analysis today.

Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.

GlassFlow is an event-driven, serverless data pipeline platform for Python developers. It allows users to build real time data pipelines, without the need for complex infrastructure such as Kafka or Flink. GlassFlow is a platform that allows developers to define data transformations by writing Python functions. GlassFlow manages all the infrastructure, including auto-scaling and low latency. Through its Python SDK, the platform can be integrated with a variety of data sources and destinations including Google Pub/Sub and AWS Kinesis. GlassFlow offers a low-code interface that allows users to quickly create and deploy pipelines. It also has features like serverless function executions, real-time connections to APIs, alerting and reprocessing abilities, etc. The platform is designed for Python developers to make it easier to create and manage event-driven data pipes.

Cloud Composer's managed nature with Apache Airflow compatibility allow you to focus on authoring and scheduling your workflows, rather than provisioning resources. Google Cloud products include BigQuery, Dataflow and Dataproc. They also offer integration with Cloud Storage, Cloud Storage, Pub/Sub and AI Platform. This allows users to fully orchestrate their pipeline. You can schedule, author, and monitor all aspects of your workflows using one orchestration tool. This is true regardless of whether your pipeline lives on-premises or in multiple clouds. You can make it easier to move to the cloud, or maintain a hybrid environment with workflows that cross over between the public cloud and on-premises. To create a unified environment, you can create workflows that connect data processing and services across cloud platforms.

Stripe Data Pipeline allows you to send all your Stripe data and reports directly to Amazon Redshift or Snowflake in just a few clicks. You can combine your Stripe data with business data to close your books quicker and gain more business insight. Install Stripe Data Pipeline in minutes. You will automatically receive your Stripe data, reports and data warehouse on an ongoing basis. To speed up your financial close and gain better insight, create a single source for truth. Find the best-performing payment methods and analyze fraud by location. Without the need for a third-party extract transform and load (ETL), you can send your Stripe data directly into your data warehouse. Stripe has a built-in pipeline that can handle ongoing maintenance. No matter how many data points you have, your data will always be complete and accurate. Automate data delivery at scale, minimize security risk, and avoid data outages.

Ask On Data is an open source Data Engineering/ ETL software that uses chat-based AI. Ask On Data, with its agentic capabilities and next-gen data stack pioneering technology, can help create data pipelines through a simple chat interface. It can be used to perform tasks such as Data Migration, Data Loading and Data Transformations. It also allows for Data Cleaning, Data Wrangling and Data Analysis. Data Scientists can use this tool to get clean data. Data Analysts and BI Engineers can create calculated tables. Data Engineers will also be able to use this tool in order to increase their efficiency.

Boltic makes it easy to create and orchestrate ETL Pipelines. Boltic allows you to extract, transform, and load multiple data sources into any destination, without having to write code. Build end-to-end pipelines with advanced transformations to get analytics-ready data. Integrate data using a list of over 100 pre-built Integrations. Join multiple data sources with just a few clicks, and you're ready to work in the cloud. Boltic's No Code Transformation or Script Engine can be used to create custom scripts for data exploration and cleaning. Invite team members to work together on a secure data operations platform in the cloud to solve organisational problems faster. Schedule ETL pipelines so that they run automatically at predefined intervals. This will make it easier to import, clean, transform, store, and share data. AI & ML can be used to track and analyze key metrics for business. Gain insights into your business and monitor potential issues or opportunities.

Build data pipelines for unstructured external data 5x faster than developing them in-house. Datastreamer is a turnkey platform that allows you to access billions of data points, including news feeds and forums, social media, blogs, and your own supplied data. Datastreamer platform receives source data and unites it to a common or user defined schema which product to use content from multiple sources simultaneously. Leverage our pre-integrated data partners or connect data from any data supplier. Tap into our powerful AI models to enhance data with components like sentiment analysis and PII redaction. Scale data pipelines with less costs by plugging into our managed infrastructure that is optimized to handle massive volumes of text data.

Amazon Managed Workflows (MWAA), a managed orchestration service that allows Apache Airflow to create and manage data pipelines in the cloud at scale, is called Amazon Managed Workflows. Apache Airflow is an open source tool that allows you to programmatically create, schedule, and monitor a series of processes and tasks, also known as "workflows". Managed Workflows lets you use Airflow and Python to create workflows and not have to manage the infrastructure for scalability availability and security. Managed Workflows automatically scales the workflow execution to meet your requirements. It is also integrated with AWS security services, which allows you to have fast and secure access.

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.

Data Prep Runner by QVIKPREP simplifies and streamlines data processing. You can improve your business processes, compare data and enhance data profiling. Preparing data for operational reporting, data analytics, and data movement between systems can save you time. Data profiling can help you catch problems early and reduce risk in data integration projects. Automating data processing can increase productivity in operations teams. Data prep is easy and you can build a robust data pipeline. DPR allows you to run checks based on historical data to improve accuracy. Transform transactions into your systems and use data for data-driven test automation. DPR ensures data gets to the right place. Ensure data integration projects deliver on time. Instead of waiting for test cycles, uncover and address data issues before they become a problem. Validate your data using rules and repair data within the data pipeline. DPR makes it easy to compare data between sources with color-coded reports.

Open source solutions that require no maintenance can save you time and money. Your engineers will enjoy working with data because it is integrated, managed and highly reliable. DoubleCloud offers a range of managed open-source services, or you can leverage the full platform's power, including data storage and visualization, orchestration, ELT and real-time visualisation. We offer leading open-source solutions like ClickHouse Kafka and Airflow with deployments on Amazon Web Services and Google Cloud. Our no-code ELT allows real-time data sync between systems. It is fast, serverless and seamlessly integrated into your existing infrastructure. Our managed open-source data visualisation allows you to visualize your data in real time by creating charts and dashboards. Our platform is designed to make engineers' lives easier.

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

Accelerate scientific discovery, empower your R&D team and use harmonized data in cloud to accelerate your R&D. The Tetra R&D Data Cloud is the only cloud-native data platform for global pharmaceutical companies. It combines the power of the largest Life Sciences integrations network and deep domain knowledge to provide a future-proof solution to harness the power of your most important asset, R&D data. The cloud covers the entire life-cycle of your R&D data: from acquisition, harmonization, engineering, downstream analysis, and native support for state–of-the–art data science tools. Pre-built integrations allow for easy connection to instruments, informatics and analytics applications, ELN/LIMSs, CRO/CDMOs, and other vendors. Data acquisition, management, harmonization, integration/engineering and data science enablement in one single platform.

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.

Permutive's revolutionary Audience Activation Platform bridges a gap between publishers, advertisers and an evolving advertising ecosystem. Publishers can monetize their audience data, and advertisers can target precisely, all in a privacy-safe setting. Our publisher data platform is available in two products to help you collect, analyse and activate your data in Real Time. You are the only one who knows your audience. See more users. Scale your segments. Increase your inventory. First-party insights to grow your data-driven advertising revenue by 4x. Permutive is a data platform that's exclusively for publishers. We built it with edge processing, where computations are done on the device generating the data rather than in the cloud, for a faster platform that is more scalable, and more privacy conscious.

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.

InfoLobby is a flexible online database platform to facilitate work management and team collaboration. The secret sauce is an over-arching automation engine that can trigger and act on all of your data, as well as with external sources. With it’s lego-like architecture, you can construct apps within minutes that are specific to your use-case, and can automate processes to reduce mundane human tasks and eliminate errors. An extensive app market even lets you pre-install solutions that you can use as a starting block to build on with ease. Instead of having your team use multiple disconnected applications, you can build out all your business functionality in a single platform, with everything connected.

Data integration, backup, management and connectivity. Cloud-based platform that is 100 percent cloud-based. It offers cloud agility and scalability. No manual upgrades or deployment required. There is no coding wizard that can meet the needs of both IT professionals as well as business users without technical skills. Skyvia suites are available in flexible pricing plans that can be customized for any product. To automate workflows, connect your cloud, flat, and on-premise data. Automate data collection from different cloud sources to a database. In just a few clicks, you can transfer your business data between cloud applications. All your cloud data can be protected and kept secure in one location. To connect with multiple OData consumers, you can share data instantly via the REST API. You can query and manage any data via the browser using SQL or the intuitive visual Query Builder.

Einblick is the fastest and most collaborative method to analyze data, make predictions, and then deploy data apps. Our canvases dramatically change the data science workflows. They make it easier to clean, manipulate, and explore data in a new interface. Our platform is the only one that allows you to collaborate with your entire team in real-time. Let's make decision-making a team activity. Don't waste your time tuning models manually. AutoML's goal is to help you make clear predictions and identify key drivers quickly. Einblick combines common analytics functionality into simple-to-use operators that allow you to abstract repetitive tasks and get answers faster. Connect your data source to Snowflake, S3 buckets, or CSV files and you'll be able to get answers in minutes. You can create a list of customers that have been churned or are currently churned, and share everything you know about them. Find out the key factors that caused churn and how at-risk each customer is.

Your online collaborative tool to automate data collection. RowShare is the new way to collaborate on spreadsheet data. Collect and centralize data. Real-time analysis and reports can be run in an easy, automated and secure way. Automate all data processing: collecting, centralizing, analyzing, sharing. All the repetitive and low-value tasks such as manual reminders, endless VLOOKUP( (), copy paste, replace or merge, etc. can be eliminated. Collaboration is possible without compromising confidentiality. Line by line, decide who can see what. You can either create your own spreadsheets, or you can use our pre-made templates. In just a few clicks, you can customize and adapt spredsheets to meet your specific needs. You can create seamless workflows yourself or with the assistance of our experts. You can monitor the progress of your data collection in real-time. Automatically generate the most current documents. Get accurate reports to make better and faster decisions.

AI-powered Business Intelligence. Data modeling is no longer a hassle. Create sales dashboards to get insights and collaborate instantly. Create sales dashboards in under 15 seconds. Anyone can use Zebra AI, whether they are a BI consultant or CEO. Just upload your data, and our AI will work it out & create your dashboard instantly. Zebra AI is secure because we believe that your business data shouldn't be shared with a large machine learning project. You don't require another chart maker. Zebra AI will help you to spot trends, retrieve data, and create compelling presentations. Share your AI chats and dashboards. Your entire team can work from the same source of information - all in just a few clicks. This is not just a powerful bot: it is a tool that experienced data analysts can use to be more efficient, no matter how complex the question or analysis.

The Adaptive Metadata Manager™, a set of highly configurable software components, provides an organization with eight core capabilities that allow it to manage and improve any data-driven business capability. These capabilities include Data Lineage, Data Quality and Impact Analysis, Business Terminology as well as Business to Technical Traceability, Version management, Change Approval Workflows, Stewardship and Automated Harvesting, & Stitching. Application modules can be accessed through a web browser thanks to a modern web app stack. End-user capabilities such as business glossary lookups are easily integrated into desktop productivity apps (such as Microsoft Office and Outlook email clients) for 'in–document' searching.

You can share data with other organizations in any format and size. You can easily control what data you share, who gets it, and the terms of your use. Data Share gives you full visibility into all data-sharing relationships through a user-friendly interface. You can share data with just a few clicks or create your own application using REST API. Serverless code-free data sharing service that doesn't require infrastructure setup or management. An intuitive interface to manage all data-sharing relationships. Automated data sharing for predictability and productivity. Secure data-sharing service that utilizes underlying Azure security measures. In just a few clicks, you can share structured and unstructured data from multiple Azure storages with other organizations. There is no infrastructure to create or manage, no SAS keys required, and sharing data is completely code-free. You can control data access and set terms that are consistent with your enterprise policies.

Learn how users interact with your product and identify opportunities to help you make product decisions. Mode allows one Stitch analyst to perform the work of a full-time data team with speed, flexibility, collaboration. Create dashboards for annual revenue and then use chart visualizations quickly to identify anomalies. Share analysis with teams to create polished reports that are investor-ready. Connect your entire tech stack with Mode to identify upstream issues and improve performance. With webhooks and APIs, you can speed up team workflows. Learn how users interact with your product and identify areas for improvement. Use marketing and product data to identify weak points in your funnel, improve landing page performance, and prevent churn from happening.

The XetaBase platform is unique in that it simplifies tertiary analyses by aggregating, indexing and enriching secondary genome data. This allows for a continual reinterpretation of the data to unlock clinical and research insights. XetaBase enables the rapid management of genomic data and its cost-effective use in the laboratory and clinic. XetaBase is a genomic-scale platform. The greater the volume and the complexity, the better the insights and outcomes. XetaBase, a genomic-native platform, is built on the OpenCB open-source software platform. It meets the demands of genomic medicine for speed, scale, and reinterpretation. Zetta Genomics provides genomic data management that is fit for the precision-medicine age. XetaBase offers a novel solution for the challenges of genomic information. It replaces outdated flat file approaches and brings meaningful and actionable genome data to the lab and clinic. XetaBase allows for continual reinterpretation and scales seamlessly as databases expand to include genome sequences.

Dexur aggregates data from multiple sources and, coupled with innovative algorithms we can provide various insights to Life Sciences companies including Sales and Marketing and Disease Burden Data. We also show HEOR & RWE and Patient Journey. Dexur uses its anonymized claims data to build disease burden dashboards and data at the national, hospital, and regional level. The outcomes for a disease (e.g. Diabetes, Chronic Kidney Disease), include the total cost, readmission, mortality rates, nursing home costs and length of stay. Dexur's Life Sciences app suite provides deep insights into financial and clinical metrics that aid in the analysis for Hospitals, Ambulatory Surgery Centers(ASC's), providers, and IDN's. This allows life sciences companies to target their products and services more effectively.

Accuracy, speed, confidence. Introduce generative AI in commercial biopharma. Simplify the laborious process of collecting, organizing and inspecting vast quantities of complex data. You can always rely on 100% accuracy to get the insights you need. You'll never again lose track of your workflows with our AI-powered data verification and manipulation platform. All in one place, you can gather, refine and check all your data. Search public and private databases based on key drug characteristics. Segment drugs and clinical trials based on detailed patient profiles. You can extract the data in plain English. Link your answers to their original source. Spend your time and effort on synthesising high-quality outputs rather than sifting through data. Our LLMs allow researchers to scan assets 4.8x faster by hand. We index more than 38M scientific publications and abstracts from conferences, clinical trials, and other sources. All the data that you need, at the time you need it.

Geneious Prime makes bioinformatics more accessible by transforming raw information into visualizations which make sequence analysis intuitive. Simple assembly of sequences and easy editing contigs. Automatic annotation of gene prediction, motifs and translation. Genotype microsatellite trace with automated ladder fitting, peak calling, and generation of tables of alleles. A highly customizable sequence view displays beautiful visualizations of annotated assemblies and genomes. SNP variants analysis with powerful SNPs, RNA-Seq analysis and amplicon metagenomics. Create your own searchable database of primers for PCR and sequencing and design and test them. Geneious Biologics offers a flexible, scalable and secure way to streamline antibody analysis workflows. It allows you to create high-quality libraries, and select the best therapeutic candidates.

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.

RudderStack is the smart customer information pipeline. You can easily build pipelines that connect your entire customer data stack. Then, make them smarter by pulling data from your data warehouse to trigger enrichment in customer tools for identity sewing and other advanced uses cases. Start building smarter customer data pipelines today.

Lightbend technology allows developers to quickly build data-centric applications that can handle the most complex, distributed applications and streaming data streams. Lightbend is used by companies around the world to address the problems of distributed, real-time data to support their most important business initiatives. Akka Platform is a platform that makes it easy for businesses build, deploy, manage, and maintain large-scale applications that support digitally transformational initiatives. Reactive microservices are a way to accelerate time-to-value, reduce infrastructure costs, and lower cloud costs. They take full advantage the distributed nature cloud and are highly efficient, resilient to failure, and able to operate at any scale. Native support for encryption, data destruction, TLS enforcement and compliance with GDPR. Framework to quickly build, deploy and manage streaming data pipelines.

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.