11 Integrations with QuestDB

View a list of QuestDB integrations and software that integrates with QuestDB below. Compare the best QuestDB integrations as well as features, ratings, user reviews, and pricing of software that integrates with QuestDB. Here are the current QuestDB integrations in 2024:

  • 1
    Docker

    Docker

    Docker

    Docker takes away repetitive, mundane configuration tasks and is used throughout the development lifecycle for fast, easy and portable application development, desktop and cloud. Docker’s comprehensive end-to-end platform includes UIs, CLIs, APIs and security that are engineered to work together across the entire application delivery lifecycle. Get a head start on your coding by leveraging Docker images to efficiently develop your own unique applications on Windows and Mac. Create your multi-container application using Docker Compose. Integrate with your favorite tools throughout your development pipeline, Docker works with all development tools you use including VS Code, CircleCI and GitHub. Package applications as portable container images to run in any environment consistently from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE and more. Leverage Docker Trusted Content, including Docker Official Images and images from Docker Verified Publishers.
    Starting Price: $7 per month
  • 2
    Tableau

    Tableau

    Tableau

    Gain, generate, and analyze business data and meaningful insights with Tableau, an integrated business intelligence (BI) and analytics solution. With Tableau, users are able to collect data from different sources such as spreadsheets, SQL databases, Salesforce, and cloud apps. Tableau provides users with real-time visual analytics and interactive dashboard that enables them to slice and dice datasets for making relevant insights and look for new opportunities. Tableau also allows users to customize the platform to serve different kinds of industry verticals like banking, communication, and more.
  • 3
    DataClarity Unlimited Analytics
    DataClarity Unlimited Analytics is the only free modern embeddable data and analytics platform in the world that provides a self-service, powerful, secure and seamless end-to-end experience. Highlights: SIMPLIFIED DATA INTEGRATION – Easily connect, join, curate, cache and catalog diverse data through drag and drop, custom SQL builder & AI-powered data profiling. | INTERACTIVE DASHBOARDS – craft compelling reports using 80 stunning visualizations, geospatial maps and flexibility to bring your own charts. | REAL-TIME ANALYSIS – Perform advanced analysis & data exploration using drill-down, drill-through, filters, built-in statistical & predictive models, or your own Python and R code. | SEAMLESS APPLICATION INTEGRATION – Achieve smooth integration with versatile APIs, tailor-made configurations & flexible embedding features. | SECURITY & GOVERNANCE – Ensure adherence to your security guidelines, governance standards, multitenancy, row-level data protection, and Single Sign-On (SSO).
    Starting Price: FREE
  • 4
    Apache Kafka

    Apache Kafka

    The Apache Software Foundation

    Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages.
  • 5
    Telegraf

    Telegraf

    InfluxData

    Telegraf is the open source server agent to help you collect metrics from your stacks, sensors and systems. Telegraf is a plugin-driven server agent for collecting and sending metrics and events from databases, systems, and IoT sensors. Telegraf is written in Go and compiles into a single binary with no external dependencies, and requires a very minimal memory footprint. Telegraf can collect metrics from a wide array of inputs and write them into a wide array of outputs. It is plugin-driven for both collection and output of data so it is easily extendable. It is written in Go, which means that it is a compiled and standalone binary that can be executed on any system with no need for external dependencies, no npm, pip, gem, or other package management tools required. With 300+ plugins already written by subject matter experts on the data in the community, it is easy to start collecting metrics from your end-points.
    Starting Price: $0
  • 6
    n8n

    n8n

    n8n

    Build complex automations 10x faster, without fighting APIs. Your days spent slogging through a spaghetti of scripts are over. Use JavaScript when you need flexibility and UI for everything else. n8n allows you to build flexible workflows focused on deep data integration. And with sharable templates and a user-friendly UI, the less technical people on your team can collaborate on them too. Unlike other tools, complexity is not a limitation. So you can build whatever you want — without stressing over budget. Connect APIs with no code to automate basic tasks. Or write vanilla Javascript when you need to manipulate complex data. You can implement multiple triggers. Branch and merge your workflows. And even pause flows to wait for external events. Interface easily with any API or service with custom HTTP requests. Avoid breaking live workflows by separating dev and prod environments with unique sets of auth data.
    Starting Price: $20 per month
  • 7
    Metabase

    Metabase

    Metabase

    Meet the easy, open source way for everyone in your company to ask questions and learn from data. Connect to your data and get it in front of your team. Dashboards (like this one) are easy to build, share, and explore. Anyone on your team can get answers to questions about your data with just a few clicks, whether it's the CEO or Customer Support. When the questions get more complicated, SQL and our notebook editor are there for the data savvy. Visual joins, multiple aggregations and filtering steps give you the tools to dig deeper into your data. Add variables to your queries to create interactive visualizations that users can tweak and explore. Set up alerts and scheduled reports to get the right data in front of the right people at the right time. Start in a couple clicks with the hosted version, or use Docker to get up and running on your own for free. Connect to your existing data, invite your team, and you have a BI solution that would usually take a sales call.
  • 8
    PostgreSQL

    PostgreSQL

    PostgreSQL Global Development Group

    PostgreSQL is a powerful, open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. There is a wealth of information to be found describing how to install and use PostgreSQL through the official documentation. The open-source community provides many helpful places to become familiar with PostgreSQL, discover how it works, and find career opportunities. Learm more on how to engage with the community. The PostgreSQL Global Development Group has released an update to all supported versions of PostgreSQL, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23. This release fixes 25 bugs reported over the last several months. This is the final release of PostgreSQL 10. PostgreSQL 10 will no longer receive security and bug fixes. If you are running PostgreSQL 10 in a production environment, we suggest that you make plans to upgrade.
  • 9
    Grafana

    Grafana

    Grafana Labs

    Observe all of your data in one place with Enterprise plugins like Splunk, ServiceNow, Datadog, and more. Built-in collaboration features allow teams to work together from a single dashboard. Advanced security and compliance features to ensure your data is always secure. Access to Prometheus, Graphite, Grafana experts and hands-on support teams. Other vendors will try to sell you an “everything in my database” mentality. At Grafana Labs, we have a different approach: We want to help you with your observability, not own it. Grafana Enterprise includes access to enterprise plugins that take your existing data sources and allow you to drop them right into Grafana. This means you can get the best out of your complex, expensive monitoring solutions and databases by visualizing all the data in an easier and more effective way.
  • 10
    Stackreaction

    Stackreaction

    Stackreaction

    Building marketplace, online school or membership site? Find tools, integrations, workflows and guides to jumpstart your idea. Browse apps and tools, find alternatives, compare by feature, and leave feedback. Automating routine processes? Find all integrations from Zapier, Integromat, Automateio and other automation platforms in one place. Compare features and price. Explore guides and tutorials from community and vendors. Contribute with your know-how. Leverage the openness of the nocode community. Сreate your profile, pick up your favorite tools, share your stack.
  • 11
    AtomicJar

    AtomicJar

    AtomicJar

    Shift testing to the left and find issues earlier, when they are easier and cheaper to fix. Enable developers to do better integration testing, shorten dev cycles and increase productivity. Shorter and more-thorough integration feedback cycles, mean more reliable products. Testcontainers Cloud makes it easy for developers to run reliable integration tests, with real dependencies defined in code, from their laptops to their team’s CI. Testcontainers is an open-source framework for providing throwaway, lightweight instances of databases, message brokers, web browsers, or just about anything that can run in a Docker container. No more need for mocks or complicated environment configurations. Define your test dependencies as code, then simply run your tests and containers will be created and then deleted.
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