Dashtera
Dashtera is a no-code dashboarding platform that turns spreadsheets, SQL databases and live data streams into GPU-accelerated visualizations, with 2D, 3D and mapping charts plus a built-in supervised machine learning module for prediction.
What is Dashtera?
Dashtera is a browser-based platform for data visualization, dashboarding, reporting and data observability, published by LightningChart Ltd, a Finnish company based in Kuopio. It is presented as a division of LightningChart and runs on the same GPU-accelerated WebGL rendering engine the company built for its charting products, which is why it claims to handle millions of data points per chart and millisecond-level refresh without resorting to downsampling.
The promise is zero coding. You create a dashboard in the editor, attach data, and configure charts through dialogs rather than scripts. Data arrives either as files, in CSV, JSON, XML, XLS/XLSX or Parquet, or through connectors to PostgreSQL, MySQL, MariaDB, MS SQL, MongoDB, Apache Cassandra, Redis, Snowflake, Databricks, Trino and InfluxDB, with WebSockets carrying live streams.
The chart library is unusually wide for a dashboard tool. Alongside standard business visuals it covers XY, bar, polar and statistical charts, maps, and ten families of 3D visuals including point clouds, mesh models, surfaces and scrolling surfaces. The Finance & Trading tier adds a technical analysis chart with more than 100 indicators and over 30 drawing tools.
Its AI capability is a supervised machine learning module. Eight algorithms are offered: Linear Regression, Random Forest, LightGBM and XGBoost for regression, with Logistic Regression and the same three families for classification. You pick a dataset from Data Sources, choose a target variable and feature columns, then either let Auto Train select a model or choose one yourself. Analyze returns accuracy, precision, recall, F1 and train/test scores; up to five models can be stored and reused by the prediction engine, whose output flows back into Data Sources and exports to Excel, CSV or JSON.
Analysis tools include drill-down and drill-through between charts, filtering, grouping, aggregation, reusable functions and a KPI panel. Finished dashboards can be shared live in Viewer mode, published publicly, scheduled as PDF reports or exported as PNG. The platform ships in four tiers plus paid add-ons, and deploys as cloud, hosted private system, on-premises installation, OEM white-label integration or licensed source code.
What it does
- Build interactive dashboards without writing any code
- Connect SQL, NoSQL and time-series databases plus live WebSocket streams
- Import CSV, JSON, XML, Excel and Parquet files
- Visualize data in 2D, 3D, polar, statistical and map charts
- Train and run supervised machine learning models on your own datasets
- Filter, group, aggregate and compute with reusable functions
- Share dashboards live, export them as PDF reports or PNG images
When to use Dashtera / When not to
A quick filter to help you decide if Dashtera is the right fit.
When to use Dashtera
- Business intelligence analysts who need unlimited charts and data points on a single dashboard
- Engineers and scientists working with polar, statistical and 3D datasets
- Traders and market analysts who rely on technical indicators and drawing tools
- IoT, telemetry and industrial automation teams streaming live sensor data
- Enterprises that must keep dashboards on-premises, white-labeled or under source-code control
When not to use Dashtera
- Anyone who needs a mobile app, since Dashtera runs in the browser and nowhere else
- Developers looking for a documented public API, which is still listed as coming soon
- Teams expecting generative AI, because the machine learning module is supervised regression and classification only
- Occasional users unwilling to pay, as the free plan caps out at three charts, 500 data points and 100 MB
- Non-English-speaking teams, because the site and the interface are only available in English
How to use Dashtera
A typical end-to-end flow, from setup to results.
- Create an account through Start for free; the Basic plan asks for no credit card
- Open the Dashtera web app and go to Data Sources
- Upload a CSV, JSON, XML, Excel or Parquet file, or connect a database or WebSocket stream
- Create a dashboard and add charts from the dashboard editor
- Configure each chart: columns, filtering, grouping and the aggregation method
- Set up drill-down and drill-through by selecting a master chart, then its target charts
- Add functions for derived calculations and a KPI panel for headline figures
- Optionally train a model: pick a dataset, a target variable and feature columns, then run Auto Train or select an algorithm yourself
- Run predictions from the model repository and export the results to Excel, CSV or JSON
- Apply a theme, then share the dashboard in Viewer mode, publish it, or export it as PDF or PNG
Pros & Cons
Pros
- GPU-accelerated rendering with unlimited data points on every paid tier
- Exceptionally broad chart range, including ten 3D chart types and more than 100 technical indicators
- Machine learning built in and usable without code, with evaluation metrics and exportable predictions
- Twelve database connectors and five file formats, with proprietary connectors possible on private deployments
- Rare deployment freedom: cloud, hosted private, on-premises, OEM white-label or licensed source code
- Customer data hosted in the EU on Microsoft Azure, under a Finnish publisher bound by the GDPR
- Unusual contractual transparency: published sub-processor table, processor clauses inside the terms, external security audit
Cons
- A young product, commercially launched only in the first quarter of 2026
- Browser only: no mobile app, no desktop app and no browser extension
- No documented public API, and custom API connectors are still marked coming soon
- Several headline capabilities are paid add-ons, machine learning and real-time streaming among them
- The free plan is very tight: three charts, 500 data points, 100 MB and one active connector
- Included storage stays at 1 GB even on the most expensive tier
- A free trial is offered but its length is never stated on the site
Pricing & Plans
Dashtera offers a permanent free plan, Basic, which requires no credit card. The lowest paid entry point is the Business Intelligence tier at USD 20 per user per month, or USD 200 per user per year. VAT is calculated at checkout, and optional add-ons are billed separately, per user and per month.
- basic 2D charts with limited capacity
- up to 3 charts per dashboard
- 500 data points
- 100 MB of storage
- CSV/JSON/XML/Excel import
- one active data connector
- partial XY and 3D charts
- all basic and bar charts
- unlimited charts and data points
- advanced sharing
- SQL database queries
- 1 GB of storage
- engineering and scientific charts
- polar charting
- advanced XY and 3D charting
- 1 GB of storage
- technical analysis charting
- more than 100 technical indicators
- more than 30 drawing tools
- 1 GB of storage
- Statistics charts USD 10
- Real-time streaming charts USD 15
- Map charts USD 10
- Machine Learning USD 10
- Additional storage USD 3
- AI dashboard assistant add-on announced as coming soon
- Hosted Private System
- On-Premises System
- OEM/White-Labeling and Source Code
Data, GDPR & hosting
A consolidated view of how Dashtera handles your data.
GDPR overview
Implementation is concrete and documented. LightningChart Ltd is a Finnish controller subject to Finnish law and the GDPR; the privacy policy took effect on 14 April 2025 and was last revised on 18 March 2026. No Data Protection Officer is appointed, the company stating that the Article 37 thresholds are not met, and data protection queries go to support@dashtera.com. Section 14.10 of the terms carries full processor clauses: documented instructions, confidentiality, security measures, assistance with Chapter III requests and Articles 32 to 36, breach notification to the customer within 48 hours, and an audit right capped at one audit per year. Nine sub-processors are published with purpose, data and location. Transfers outside the EEA rely on the June 2021 Standard Contractual Clauses, the EU-US Data Privacy Framework and adequacy decisions. The Finnish Data Protection Ombudsman is named as supervisory authority.
Who owns the data?
You keep what you upload. Both the privacy policy and the terms state that you retain all rights, title and ownership in the data you import into Dashtera, and that LightningChart Ltd receives only the license it needs to process and display that content in order to provide, maintain and improve the service. For account data the Finnish company acts as controller; for the content you import it acts as a processor working on your documented instructions. It commits never to sell or share personal data in the CPRA sense. If you upload personal data about third parties, the legal basis for that processing remains yours alone.
Reuse rights
You can reuse your own material freely, without asking. Predictions produced by the machine learning module are written back into Dashtera Data Sources and export to Excel, CSV or JSON. Dashboards export as high-resolution PNG images or as scheduled and on-demand PDF reports, and can be shared live: Viewer mode keeps confidential boards inside the organization, while non-confidential views can be published publicly. GDPR portability also entitles you to receive your personal data in a structured, commonly used, machine-readable format. One caveat: data read from a connected external database is held only for the session unless you explicitly import it into Dashtera.
Data retention & training
Hosting summary
LightningChart Ltd, at Tehdaskatu 24 B, 70620 Kuopio, Finland, is the controller. The terms state plainly that all Customer Data sits on Microsoft Azure in the EU (West Europe) region. Authentication runs on Keycloak, self-hosted on LightningChart's own infrastructure, and the company says no user data is passed to any third party through it. Nine sub-processors are published with purpose, data category and location: Azure (EU), Google Analytics 4 (EU/US, Data Privacy Framework), Stripe via WooCommerce Payments (US, DPF), WooCommerce/Automattic (US, DPF), Zoho ZeptoMail (EU), Mapbox (US), MapTiler AG (Switzerland/EU), Zoho CRM (EU) and Rewardful, listed as not yet active (US). Transfers outside the EEA rely on the June 2021 Standard Contractual Clauses, Modules 2 and 3, the EU-US Data Privacy Framework, adequacy decisions and transfer impact assessments. Stated safeguards include TLS/SSL in transit, encryption at rest for sensitive data, role-based access control, internal and external security audits, and data centers with physical access controls. Breaches are notified to customers within 48 hours and to the Finnish authority within 72.
Things to keep in mind
Risks and trade-offs to weigh before adopting Dashtera.
- Publishing a dashboard publicly exposes business data; Viewer mode separates internal sharing from public publication, but getting that choice right is on you
- High model scores breed false confidence: the sales example on the site reaches a 97% train/test score, which says nothing about a badly specified model
- The terms state that beta and experimental features are provided as-is, with no warranty that results or analyses are error-free
- If you import personal data about other people, you alone carry the legal basis for processing it
- Data read from a connected external database is kept only for the session unless you import it, so an analysis can quietly lose the context it was built on
- Accounts left inactive for a year are deleted or anonymized, with the only warnings sent by email 30 days and 3 days beforehand
- Per-user add-on pricing makes it easy to underestimate the real cost of a team-wide rollout
Setup & Integrations
Technical difficulty
Low for cloud use. Sign-up happens in the browser, the Basic plan needs no credit card, and a first dashboard can be built from an uploaded spreadsheet with no code at all. Difficulty rises with the data source: connecting a production database means having credentials and network access, which is an IT or data-team job. The machine learning module is guided, with an Auto Train option, but choosing a target variable and feature columns still assumes some data literacy. On-premises, hosted private, OEM and source-code deployments are enterprise projects that start with a consultation.
Deployment
Integrations
Supported languages
Behind Dashtera
Social
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Dashtera.
Frequently asked questions
Is there a free plan?
How much does the cheapest paid plan cost?
Do I need to know how to code?
Which data sources can Dashtera connect to?
Does Dashtera have an API?
What exactly does the AI do?
Where is my data hosted?
Is my data used to train models?
Can I run Dashtera on my own servers?
Is there a minimum age?
Should you pick Dashtera?
Dashtera is a credible newcomer rather than an unknown one. The product launched commercially in early 2026, but the rendering engine underneath comes from LightningChart, a Finnish company that has been building high-performance charting components for years, and that lineage shows in what the platform does best: pushing very large, very fast datasets onto a screen without downsampling them.
Its natural home is the space between a general business intelligence tool and an engineering-grade real-time monitor. Plans are shaped around three jobs, business intelligence, engineering and science, and finance and trading, and the chart library, particularly in 3D and technical analysis, goes well beyond what most dashboard products attempt.
The machine learning module deserves an honest label. It is classical supervised learning: eight regression and classification algorithms, guided training, five stored models, a prediction engine. That is genuinely useful for forecasting and anomaly work and needs no code, but it is not generative AI, and the AI dashboard assistant that would justify the phrase is still marked coming soon.
Two practical cautions. The advertised price is not the whole price: machine learning, real-time streaming, statistics and map charts are add-ons billed per user per month, so a realistic configuration can cost well above the headline figure. And several building blocks, custom API connectors, playback and the AI assistant, are announced rather than shipped.
Against that, the compliance posture is stronger than the product's age suggests: customer data on Azure in the EU, a published sub-processor table, processor clauses written into the terms, an external security audit made public, and a European publisher bound by the GDPR. For teams that need on-premises, white-label or source-code deployment at this price point, comparable options are few.
- Choosing a selection results in a full page refresh.
- Opens in a new window.