Datakit.page
Looker
Tableau
Microsoft Power BI
Data Studio
Domo
Grapple
Sisense
TriggerDeck.io
Zabbix
It provides rapid data previews, insights through a data inspection tool, as well as a full SQL editor complimented by natural language support.
Users can generate custom charts to visualise their dataset and export as PNG, JPG, SVG or CSVs as well.
To supercharge a user’s ability to query their dataset, an AI data assistant powered by popular LLMs made by Anthropic, OpenAI and xAI is available.
Users can connect to many data sources like MotherDuck, HuggingFace, Excel, CSV, Parquet, JSON, Amazon S3 and many more.
TriggerDeck is an iPhone app for teams running Zabbix-based monitoring environments. It brings the workflows operators actually need on mobile into a focused, fast interface built for incident response and everyday monitoring.
With TriggerDeck, teams can:
TriggerDeck is designed for sysadmins, SREs, DevOps teams, NOC operators, and IT operations leads who need reliable visibility while away from their desks. Instead of forcing a desktop workflow onto a phone, it focuses on fast triage, clear navigation, and the monitoring information that matters most in the moment.
The product is especially well suited to teams that want:
TriggerDeck supports modern Zabbix environments and is built specifically for secure, practical monitoring workflows on iOS.
Datakit.page TriggerDeck.ioNo TriggerDeck.io videos yet. You could help us improve this page by suggesting one.
Datakit.page's answer
Datakit is a truly zero‑friction analytics studio that lives entirely in your browser (or on your own host) with no installs, no sign‑ups, and no backend to trust. Your data never leaves your machine or your infrastructure, simply close the tab and everything vanishes. Under the hood it leverages WebAssembly‑powered query engines for lightning‑fast performance on even very large datasets, all wrapped in an intuitive, code‑like UI.
TriggerDeck.io's answer:
TriggerDeck is built around a strict trust model for Zabbix environments: the iPhone app connects directly to the customer’s Zabbix API. Using our integration service its able to deliver Push notifications from Zabbix directly to your iPhone. This gives teams secure mobile access to problems, hosts, items, charts, and dashboards without introducing a hosted read
Datakit.page's answer
Privacy & Security by Default: Unlike cloud BI tools that require you to upload or proxy data through third‑party servers, Datakit keeps everything local or on your private host, no risk of unintended data exposure.
Zero Setup: No Docker pulls, no auth flows, no API keys. You simply open your browser (or self‑hosted URL) and you’re instantly in your data.
Speed & Scale: Thanks to Wasm‑compiled query engines (DuckDB/SQLite), you can slice through millions of rows in seconds.
Free & Open-First: No trial timers, no credit card gates, and a roadmap driven by community feedback.
TriggerDeck.io's answer:
Teams should choose TriggerDeck when they want a mobile-first Zabbix experience without giving a third-party backend access to their monitoring credentials. It is designed for fast triage on iPhone, supports multiple servers, and focuses on the workflows operators actually need on the go: active problems, details, hosts, items, charts, dashboards, and optional push notifications. The product is opinionated about security, clear data boundaries, and reducing friction between alert and action.
Datakit.page's answer
Datakit users are Product Managers & PMM’s who need quick, ad‑hoc analyses without waiting on engineering. Operations Engineers who need to write queries fast and provide reports. Executives who want to understand reports and extract insights. Financial analysts who want to spot discrepancies and audit their data.
TriggerDeck.io's answer:
TriggerDeck is built for teams that run their own Zabbix-based monitoring environments. The primary audience includes IT operations teams, sysadmins, SREs, DevOps and platform engineers, NOC operators, and technical leads who need secure mobile visibility into infrastructure and incident state while away from their desks.
Datakit.page's answer
We met as work colleagues and, over years in Product & Engineering roles, repeatedly hit the same wall: painfully slow access to the data we needed to make actionable decisions. Frustrated by ticket queues and heavyweight BI setups, we teamed up for an AI hackathon and won first prize with a Slack AI Data Assistant. That prototype soon evolved into a lightweight BI tool, and as we iterated on it, we realized there was an even bigger opportunity. We stripped away the sign‑ups, the servers, the configuration, and built DataKit: a free‑to‑play, browser‑based data studio that delivers powerful querying and visualization, all while keeping your data entirely under your control.
TriggerDeck.io's answer:
TriggerDeck was created to solve a specific gap in the Zabbix ecosystem: mobile access often becomes less trustworthy when it depends on a hosted proxy or external credential sharing. The product started from the idea that teams should be able to check monitoring data securely from an iPhone and get instant push delivery.
Datakit.page's answer
DuckDB-WASM as the in-browser SQL engine (compiled to WebAssembly for ultra-fast queries on CSV, Parquet, XLSX, JSON, etc.) React + TypeScript for a snappy, component-driven UI
TriggerDeck.io's answer:
TriggerDeck is built primarily with Swift 6, SwiftUI, Swift Charts, URLSession with async/await, SwiftData, and Keychain on iOS.
Datakit.page's answer
A number of large music companies use DataKit to open large royalty files.
TriggerDeck.io's answer:
TriggerDeck does not publicly disclose customer names at this stage.
Based on our record, Datakit.page seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hi folks. I've been doing some experiments on how LLMs could get more handy in the day to day of working with files (CSV, Parquet, etc). Earlier last year, I built https://datakit.page and evolved it over and over into an all in-browser experience with help of duckdb-wasm. Got loads of feedbacks and I think it turned into a good shape with being an adhoc local data studio, but I kept hearing two main... - Source: Hacker News / 8 months ago
Live demo: https://datakit.page DataKit is a browser-based data analysis platform that processes multi-gigabyte files (CSV, Parquet, JSON, Excel) entirely client-side using DuckDB-WASM. Your data never leaves your browser. What it does:. - Source: Hacker News / 9 months ago
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Zabbix - Track, record, alert and visualize performance and availability of IT resources
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Data Studio - Data Studio is a data transforming platform that allows businesses or users to convert their client’s data into useful reports through data visualization.
Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.