Alternatives to Quix

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.

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.

Appwrite offers a cloud backend solution, simplifying the construction of your backend infrastructure with minimal coding across preferred languages and frameworks. This platform empowers developers to concentrate on creativity and design, minimizing the grind of backend development chores. Products Appwrite provides you with: - Authentication: 30+ login methods, support for teams, roles, and user labels - Databases: Never paused, fast in-memory caching, advanced permission models, relationships support - Storage: File encryption at rest and transit, built-in image transformation capabilities, advanced compression with WebP/Brotli support - Functions: Automatic deployment from GitHub - Messaging: SMS, email, and push notification support - Real-time: Unlimited subscriptions By utilizing Appwrites’ features, you save time and ensure your products are stable and secure for your end users. With Appwrite, you always own your data, so you never have to fear vendor lock-in.

Event Hubs is a fully managed, real time data ingestion service that is simple, reliable, and scalable. Stream millions of events per minute from any source to create dynamic data pipelines that can be used to respond to business problems. Use the geo-disaster recovery or geo-replication features to continue processing data in emergencies. Integrate seamlessly with Azure services to unlock valuable insights. You can allow existing Apache Kafka clients to talk to Event Hubs with no code changes. This allows you to have a managed Kafka experience, without the need to manage your own clusters. You can experience real-time data input and microbatching in the same stream. Instead of worrying about infrastructure management, focus on gaining insights from your data. Real-time big data pipelines are built to address business challenges immediately.

The cloud-native DBOS OS provides a simpler and more secure way to create fault-tolerant cloud apps. DBOS is the result of 3 years of open source R&D by MIT and Stanford. It revolutionizes cloud native architecture. DBOS is a cloud native OS that uses a relational database as the foundation to simplify today's complex cloud applications stacks. DBOS is the engine behind DBOS Cloud. This serverless platform provides fault tolerance, observability and cyber-resilience to stateful TypeScript apps. OS services are implemented over a distributed DBMS. Stack is simplified by the built-in fault-tolerant, transactional state management. No need for cluster management, workflow orchestration, or containers. Scaling, performance and availability are all achieved with ease. Metrics and logs are stored in SQL tables. Cyber-resilience, self-detection of cyber attacks, and a smaller cyber attack surface.

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.

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.

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

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.

Unified stream and batch data processing that is serverless, fast, cost-effective, and low-cost. Fully managed data processing service. Automated provisioning of and management of processing resource. Horizontal autoscaling worker resources to maximize resource use Apache Beam SDK is an open-source platform for community-driven innovation. Reliable, consistent processing that works exactly once. Streaming data analytics at lightning speed Dataflow allows for faster, simpler streaming data pipeline development and lower data latency. Dataflow's serverless approach eliminates the operational overhead associated with data engineering workloads. Dataflow allows teams to concentrate on programming and not managing server clusters. Dataflow's serverless approach eliminates operational overhead from data engineering workloads, allowing teams to concentrate on programming and not managing server clusters. Dataflow automates provisioning, management, and utilization of processing resources to minimize latency.

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.

Astronomer is the driving force behind Apache Airflow, the de facto standard for expressing data flows as code. Airflow is downloaded more than 4 million times each month and is used by hundreds of thousands of teams around the world. For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Founded in 2018, Astronomer is a global remote-first company with hubs in Cincinnati, New York, San Francisco, and San Jose. Customers in more than 35 countries trust Astronomer as their partner for data orchestration.

Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.

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

Get the fastest time to revenue available and government-level security with NXT1 LaunchIT, the world’s first 100% serverless, SaaS deployment and management platform. Go from code to published SaaS in 15 minutes. NXT1 LaunchIT enables instant availability by streamlining and automating every aspect of cloud infrastructure management required for SaaS delivery and sales – simply code and deploy. LaunchIT adheres to CISA’s Secure by Design guidelines and provides a direct path to FedRAMP compliance-readiness at a fraction of the traditional time and cost required, establishing new, impactful sales opportunities into state and federal government agencies. Built on Zero Trust principles, with integrated CI/CD management, multi-account and multi-region support, comprehensive performance management and observability, full ecommerce support, and GitHub integration, LaunchIT accelerates time to revenue for technology startups, legacy application migrations, enterprise expansions, systems integrations, and independent software development. Get started with a 15-day free trial at nxt1.cloud/go.

Gravity's mission, to make streaming data from over 100 sources easy and only pay for what you use, is Gravity. Gravity eliminates the need for engineering teams to deliver streaming pipelines. It provides a simple interface that allows streaming to be set up in minutes using event data, databases, and APIs. All members of the data team can now create with a simple point-and-click interface so you can concentrate on building apps, services, and customer experiences. For quick diagnosis and resolution, full Execution trace and detailed error messages are available. We have created new, feature-rich methods to help you quickly get started. You can set up bulk, default schemas, and select data to access different job modes and statuses. Our intelligent engine will keep your pipelines running, so you spend less time managing infrastructure and more time analysing it. Gravity integrates into your systems for notifications, orchestration, and orchestration.

The fully managed multicloud Postgres, with a generously free tier. We separated storage from computing to provide autoscaling and branching. We separated computing and storage to enable on-demand scaling. When not in use, compute scales down to zero. Neon Storage uses the "copy on write" technique to provide data branching, checkpointing online, and point-in time restore. This eliminates expensive full-data backup and restore operations required with traditional database-as-a-service systems. Neon allows you branch your Postgres database instantly to support modern development workflows. You can create branches to support test environments and every deployment in your CI/CD workflow. Our serverless architecture reduces storage and computing costs. Neon's autoscaling capability prevents over-provisioning, and paying for instances that are not used.

Knative was created by Google with contributions of over 50 companies. It provides the essential components for building and running serverless applications on Kubernetes. Knative provides features such as scale-to-zero and autoscaling. It also offers in-cluster builds and an eventing framework for Kubernetes-native applications. Knative identifies the best practices of Kubernetes-based frameworks that have been successful, whether they are on-premises or in the cloud. Knative allows developers to concentrate on writing code and not worry about the "boring, but difficult" aspects of building, deploying, managing, or maintaining their application.

Amazon EventBridge is a serverless event bus that makes it easy to connect applications together using data from your own applications, integrated Software-as-a-Service (SaaS) applications, and AWS services. EventBridge provides a stream of real time data from event sources like Pagerduty, Datadog, and Zendesk. It routes that data to AWS Lambda. To build applications that respond in real-time to all your data sources, you can set up routing rules. EventBridge makes it easy for you to create event-driven apps. It handles event ingestion, delivery, authorization, security, and error handling. Your applications will become more interconnected by events. You need to spend more time finding and understanding the structure of events in order to write code that reacts to them.

Xata is a combination relational database, analytics engine, and free-text search engine. It is a spreadsheet-like interface with a powerful data API that provides granular security, zero downtime migrations, subscriptions and ACID transactions. There is also caching and caching. When you aren't concerned about servers when you deploy your application, why should servers (or nodes or clusters) be worried about when you use a database service? Xata is the perfect companion to Serverless and Low-Code/Serverless development platforms because it offers a simple global RESTful API that allows you to insert, query, aggregate, and search. Xata lets you build your database schema iteratively while you add sample data. It is accessible via a spreadsheet-like UI. You can add columns, tables, and data to your database, as well as create queries and views. The code samples can then be used in your application. This allows you to be flexible as you develop your application and, as the application grows in complexity, the strict schema ensures that your data remains safe and correct.

Catalyst is a full-stack cloud-based serverless development tool that provides backend functionalities to build microservices and applications in various platforms. Catalyst adapts a BaaS (Backend as a Service) model and provides pre-written, universal, server-side components from a unified interface as programmable elements. Catalyst allows developers to focus more on designing the user experience of the serverless applications, instead of investing time and effort into setting up and maintaining the server-side components. You can deploy applications and microservices at scale, while we take care of everything else—drastically reducing your development cycle and operational costs. What can you build with Catalyst? Catalyst helps you build a variety of applications and microservices without needing to worry about the backend infrastructure. Catalyst provides three major components: - Backend as a Service - Function as a Service - Web Client Hosting These pre-built services coupled with other Catalyst tools like, push notifications and emails, authentication, Advanced AI solutions and more provide a complete serverless suite for app development.

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.

StreamNative redefines the streaming infrastructure by integrating Kafka MQ and other protocols into a unified platform that provides unparalleled flexibility and efficiency to modern data processing requirements. StreamNative is a unified platform that adapts to diverse streaming and messaging requirements in a microservices environment. StreamNative's comprehensive and intelligent approach to streaming and messaging empowers organizations to navigate with efficiency and agility the complexity and scalability in the modern data ecosystem. Apache Pulsar’s unique architecture decouples message storage from the message serving layer, resulting in a cloud-native data streaming platform. Scalable and elastic, allowing it to adapt to changing business needs and event traffic. Scale up to millions of topics using architecture that decouples computing from storage.

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.

Yandex Data Proc creates and configures Spark clusters, Hadoop clusters, and other components based on the size, node capacity and services you select. Zeppelin Notebooks and other web applications can be used to collaborate via a UI Proxy. You have full control over your cluster, with root permissions on each VM. Install your own libraries and applications on clusters running without having to restart. Yandex Data Proc automatically increases or decreases computing resources for compute subclusters according to CPU usage indicators. Data Proc enables you to create managed clusters of Hive, which can reduce failures and losses due to metadata not being available. Save time when building ETL pipelines, pipelines for developing and training models, and describing other iterative processes. Apache Airflow already includes the Data Proc operator.

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.

Data is essential to improve the efficiency, profitability, and experience of streaming video. Datazoom allows video publishers to manage distributed architectures more efficiently by centralizing, standardizing and integrating data in real time. This creates a more powerful data pipeline, improves observability and adaptability, as well as optimizing solutions. Datazoom is a video data platform which continuously gathers data from endpoints such as a CDN or video player through an ecosystem of collectors. Once the data has been gathered, it is normalized with standardized data definitions. The data is then sent via available connectors to analytics platforms such as Google BigQuery, Google Analytics and Splunk. It can be visualized using tools like Looker or Superset. Datazoom is your key for a more efficient and effective data pipeline. Get the data you need right away. Do not wait to get your data if you have an urgent issue.

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.

For AI and cloud analytics, you can ingest, prepare, or process data pipelines at large scale. Informatica's extensive data engineering portfolio includes everything you need to process big data engineering workloads for AI and analytics. This includes robust data integration, streamlining, masking, data preparation, and data quality.

Integrate with existing toolchain to automate self-service provisioning, refresh enterprise workloads, and integrate with existing tools. Through a rich set APIs and automation, data scientists can achieve high-performance data delivery and re-use. Any cloud data can be recovered at any time, at any scale, and beyond legacy solutions. Reduce the business impact of ransomware and cyber attacks by quickly recovering with immutable backups. Unified platform to protect, secure, keep, govern, and recover your data whether it is on-premises or cloud. Actifio's patented software platform turns data silos into data pipelines. Virtual Data Pipeline (VDP), provides full-stack data management - hybrid, on-premises, or multi-cloud -- from rich application integration, SLA based orchestration, flexible movement, data immutability, security, and SLA-based orchestration.

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.

Dafne is an engine for data workflow and orchestration, primarily designed for data warehouse automaton (DWA). It simplifies the building, defining and managing of production workflows and ETLs. It also offers visibility, reliability, dependencies and internal constraints in order to improve SLAs.

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.

Castor is a data catalogue that can be adopted by all employees. Get a complete overview of your data environment. Our powerful search engine makes it easy to find data quickly. Access data quickly and easily by joining a new data infrastructure. Expand beyond the traditional data catalog. Modern data teams have multiple data sources. Instead of building one truth, they build it. Castor's delightful and automated documentation makes it easy to trust data. In minutes, you can get a column-level view of your cross-system data lineage. To build trust in your data, get a bird's-eye view of your data pipelines. All you need to troubleshoot data issues, conduct impact analyses, and comply with GDPR is one tool. Optimize performance, cost compliance, security, and security for data. Our automated infrastructure monitoring system will keep your data stack healthy.

It is difficult, costly, and risky to connect systems to scale AI projects. Pandio's cloud native managed solution simplifies data pipelines to harness AI's power. You can access your data from any location at any time to query, analyze, or drive to insight. Big data analytics without the high cost Enable data movement seamlessly. Streaming, queuing, and pub-sub with unparalleled throughput, latency and durability. In less than 30 minutes, you can design, train, deploy, and test machine learning models locally. Accelerate your journey to ML and democratize it across your organization. It doesn't take months or years of disappointment. Pandio's AI driven architecture automatically orchestrates all your models, data and ML tools. Pandio can be integrated with your existing stack to help you accelerate your ML efforts. Orchestrate your messages and models across your organization.

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.

In-Memory Computing Platform. Digital world is different. Microseconds are important. The world's most important organizations rely on us for powering their most sensitive applications at scale. If they meet the current requirement for immediate access, new data-enabled apps can transform your business. Hazelcast solutions can be used to complement any database and deliver results that are much faster than traditional systems of record. Hazelcast's distributed architecture ensures redundancy and continuous cluster up-time, as well as always available data to support the most demanding applications. The capacity grows with demand without compromising performance and availability. The cloud delivers the fastest in-memory data grid and third-generation high speed event processing.

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

Data-driven organizations are constantly striving to become more data-driven. They build dashboards, analytics and data pipelines throughout the modern data stack. Unfortunately, data reliability issues are a major problem for most organizations, leading to poor decisions and a lack of trust in the data as an organisation, which directly impacts their bottom line. Resolving complex issues is a time-consuming and manual process that involves multiple teams, all of whom rely on tribal knowledge. They manually reverse-engineer complex data pipelines across various platforms to identify the root-cause and to understand the impact. Pantomath, a data pipeline traceability and observability platform, automates data operations. It continuously monitors datasets across the enterprise data ecosystem, providing context to complex data pipes by creating automated cross platform technical pipeline lineage.

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.

Integrate sensors to IoT applications and enrich sensor data by integrating control system and environmental data. This data can be integrated with enterprise data in real-time and used to develop predictive algorithms that uncover new insights and harvest data for meaningful purposes. Analytics can be used to predict maintenance problems, analyze asset utilization, reduce defects, and optimize processes. Remote monitoring and diagnostics services can be provided by using the power of connected devices. IoT Analytics can be used to predict safety hazards and comply to regulations to reduce workplace accidents.

You can monitor and control all the actions of your data pipelines without changing any code. Monitor data and pipelines to prevent downtime proactively and quickly identify root causes. Optimize pipeline runs, job performance and cost to maintain SLAs and save money. Accelerate platform upgrades and code deployments while maintaining reliability and performance. Data & Performance checks in line with pipelines. Checking input data before pipelines are even run. Preemption of runs by automatic means. Definity eliminates the need to build end-to-end coverage so that you are protected in every dimension. Definity shifts observability into post-production in order to achieve ubiquity and increase coverage while reducing manual effort. Definity agents run automatically with every pipeline and leave no footprint. Every data asset can be viewed in a single view, including pipelines, infrastructure, lineage and code. Avoid async checking by detecting in-run. Preempt all runs, including inputs.

Pitchly is more than just a data platform. We help you make the most of it. Our integrated warehouse-to worker process brings business data to life. We go beyond other enterprise data platforms. Content production is a key part of the future of work. Repeatable content can be made more accurate and faster by switching to data-driven production. Workers are then free to do higher-value work. Pitchly gives you the power to create data-driven content. You can set up brand templates and build your workflow. Then, you can enjoy on-demand publishing with the reliability of data-driven accuracy and consistency. You can manage all your assets in one content library, including tombstones, case studies and bios as well as reports and any other content assets Pitchly clients produce.

Combining the performance of in-memory and the durability of disk storage allows for many uses beyond caching. Multi-region replication can be combined with global databases. True Serverless Kafka, where the price scales to zero. Per-request pricing means you only pay for what you use. The Kafka topic creator and consumer API is built-in. Start free and then only pay for what you use using per-request pricing. Don't waste your money on a server/instance. You can use Upstash as many times as you want, and you won't pay more than the cap price. Upstash REST API allows access from Cloudflare Workers or Fastly Compute@Edge. Access to your global database is possible from anywhere, with very low latency. Upstash is a great choice for the Jamstack or Serverless world due to its low latency, ease-of-use, and pay-per request pricing. Servers/instances can be rented for an hour or for a fixed price. Serverless charges per request.

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.

Network isolation via sandboxed container and virtual private cloud (VPC), ensures application runtime security. SAE offers high availability solutions for large-scale events, which require high capacity handling, high scaling, and service throttle and degradation. Fully managed IaaS with Kubernetes Clusters provides low-cost solutions to your business. SAE scales in seconds and improves Java application startup efficiency. One-Stop PaaS that seamlessly integrates basic services, microservices and DevOps products. SAE offers full-lifecycle management of applications. Different release policies can be implemented, including phased release or canary release. You can also use the traffic-ratio-based, canary release model. The release process can be reverted to earlier stages.

Spot Ocean allows you to reap the benefits Kubernetes without worrying too much about infrastructure, while simultaneously gaining deep cluster visibility. This can dramatically reduce costs. The key question is how can containers be used without the operational overhead of managing underlying VMs, while still maximizing the cost benefits associated to multi-cloud and spot instances. Spot Ocean solves this problem by managing containers within a "Serverless” environment. Ocean is an abstraction over virtual machines that allows Kubernetes clusters to be deployed without the need for managing the underlying VMs. Ocean makes use of multiple compute purchasing options such as Spot and Reserved instance pricing. It also has failover to On Demand instances whenever necessary, resulting in a 80% reduction in infrastructure expenses. Spot Ocean is a Serverless Compute Engine. It abstracts the provisioning (launching), autoscaling and management of worker nodes within Kubernetes clusters.

You can design, develop, debug, and deliver serverless faster. DynamoDB's most powerful collection of tools, including a single-table aware data browser, a designer, provisioning planner and migration manager, as well as metrics. Manage tables that understand your single-table design. The single-table designer allows you to manage schemas and entities. Real historical data is used to determine the best method of provisioning. The migration manager allows you to upgrade and downgrade data. You can see how DynamoDB tables perform with detailed metrics at the table, account and single-table entity level. Automated error detection for database, application and service events. Alerts and alarms can be set up for log events, metrics, events, and DynamoDB performance. Smart notification dampening will not cause you to be overwhelmed by alerts. You can select monitored resources using tags, regular expressions, or a list.

Movestax is a platform that focuses on serverless functions for builders. Movestax offers a range of services, including serverless functions, databases and authentication. Movestax has the services that you need to grow, whether you're starting out or scaling quickly. Instantly deploy frontend and backend apps with integrated CI/CD. PostgreSQL and MySQL are fully managed, scalable, and just work. Create sophisticated workflows and integrate them directly into your cloud infrastructure. Run serverless functions to automate tasks without managing servers. Movestax's integrated authentication system simplifies user management. Accelerate development by leveraging pre-built APIs. Object storage is a secure, scalable way to store and retrieve files.