TDengine
tdengine.com
What it is
TDengine is an industrial data platform combining data ingestion, storage, analytics, modeling, visualization, and AI applications. Its two core components are TDengine TSDB and TDengine IDMP; TSDB is a distributed time-series database with built-in caching, stream processing, and data subscription. The platform connects to industrial sources including OPC, MQTT, and Kafka, and includes ETL for data cleaning and transformation. It offers a REST API described by OpenAPI, plus JDBC, ODBC, Kafka, MQTT, iframe embedding, and an Excel Add-In. Self-hosted deployments can run at the edge, in containers or virtual machines, on local servers, or in public, private, and hybrid clouds. Managed TDengine Cloud is offered on Amazon Web Services, Microsoft Azure, and Google Cloud Platform. TDengine TSDB-OSS is open source under AGPL and includes clustering. The self-hosted Free Tier covers up to 5,000 tags. Listed plans include Starter at $970 a month, a 7,500-tag self-hosted annual license at $12,500 a year, and a 7,500-tag self-hosted perpetual license at $31,250 as a one-time purchase.
Spec sheet
- What it does
- TDengine is an AI-native industrial data platform combining a distributed time-series database with industrial data management, contextualization, analytics and AI capabilities.Read 14 Oct 2026 · tdengine.com
- Deployment
- Self-hosted deployments can run at the edge, in containers or virtual machines, on local servers, or in public, private, or hybrid clouds.Read 30 Sep 2026 · tdengine.com
- Integrations
- The documented ecosystem includes Grafana integration, Kafka integration, MQTT, OPC, PI System and Excel connectivity.Read 14 Oct 2026 · docs.tdengine.com
- Support
- Annual licenses include business-hours standard support, while premium support offers 24×7 Severity 1 coverage; free-tier support is optional at $3,375 per year.Read 14 Oct 2026 · tdengine.com
- License
- The TDengine TSDB open-source repository is licensed under GNU Affero General Public License version 3.0.Read 14 Oct 2026 · github.com
- Headquarters
- San Jose, California, United StatesRead 28 Sep 2026 · tdengine.com
- Analytics and AI
- Included capabilities include forecasting, anomaly detection, data imputation, natural-language data exploration and AI-generated root-cause analysis.Read 14 Oct 2026 · tdengine.com
- API and SDKs
- Documentation covers a REST API and language connectors with sample code, while the repository exposes client libraries and Rust bindings.Read 14 Oct 2026 · docs.tdengine.com
- Asset modeling
- TDengine IDMP provides tree-structured industrial entity definitions, semantic contextualization and reusable templates for equipment and processes.Read 14 Oct 2026 · tdengine.com
- Cloud providers
- TDengine Cloud is offered as a managed service on Amazon Web Services, Microsoft Azure, and Google Cloud Platform.Read 30 Sep 2026 · tdengine.com
- Company profile
- LinkedIn identifies TDengine as a privately held software-development company founded in 2017 with 51–200 employees and headquarters in Los Gatos, California.Read 14 Oct 2026 · linkedin.com
- Company scale
- TDengine's About page reports more than one million global installations and over 25,000 GitHub stars.Read 14 Oct 2026 · tdengine.com
- Compliance claims
- TDengine states that its policies align with SOC 2 and ISO 27001/27017 and offers reports or certificates on request.Read 14 Oct 2026 · tdengine.com
- Core components
- The platform consists of TDengine TSDB and TDengine IDMP.Read 30 Sep 2026 · tdengine.com
- Core database features
- TDengine TSDB includes built-in caching, stream processing and data subscription to reduce the need for separate infrastructure components.Read 14 Oct 2026 · docs.tdengine.com
- Data model
- TDengine uses one-table-per-data-collection-point, super-table and virtual-table models designed for time-series storage efficiency.Read 14 Oct 2026 · docs.tdengine.com
- Deployment options
- TDengine can run self-hosted at the edge, in containers or VMs, on local servers, in public/private/hybrid clouds, or as managed TDengine Cloud.Read 14 Oct 2026 · tdengine.com
- Developer access
- TDengine provides a REST API described by OpenAPI and supports JDBC, ODBC, Kafka, MQTT, iframe embedding, and an Excel Add-In.Read 30 Sep 2026 · tdengine.com
- Documentation depth
- Official documentation spans installation, SQL, data modeling, ingestion, querying, subscriptions, stream processing, security, operations, integrations and kernel design.Read 14 Oct 2026 · docs.tdengine.com
- Edge-cloud synchronization
- Enterprise editions provide automated replication between edge and cloud deployments for cross-site consolidation.Read 14 Oct 2026 · tdengine.com
- Enterprise limitations
- Compared with OSS, Enterprise adds tiered storage, incremental backup, views, replication, data sharing, PI/MQTT/OPC integrations, privilege controls, encryption, auditing and IP whitelisting.Read 14 Oct 2026 · tdengine.com
- Industrial connectors
- The platform advertises zero-code connectors for MQTT, Kafka, OPC, PI System and other industrial or enterprise sources.Read 14 Oct 2026 · tdengine.com
- Industrial data sources
- TDengine connects to OPC, MQTT, Kafka, and other industrial data sources, with built-in ETL for cleaning and transformation.Read 30 Sep 2026 · tdengine.com
- Installation
- Official packages support Linux and Windows, and documentation also provides Docker and Kubernetes deployment paths.Read 14 Oct 2026 · docs.tdengine.com
- Limit: ecosystem
- Several G2 reviewers say the community, third-party tutorials, plugins and broader ecosystem are smaller than those around InfluxDB or TimescaleDB.Read 14 Oct 2026 · g2.com
- Limit: general-purpose flexibility
- Reviewers note that TDengine is specialized for time-series workloads and is less suitable for non-time-series data or some complex queries.Read 14 Oct 2026 · g2.com
- Limit: learning and documentation
- G2 reviewers mention a steep learning curve and gaps in documentation for unusual configurations or advanced use cases.Read 14 Oct 2026 · g2.com
- Notable news: free tier
- On July 28, 2026, TDengine announced a globally available complete platform free tier for deployments of up to 5,000 tags with no trial deadline.Read 14 Oct 2026 · tdengine.com
- Open source
- TDengine TSDB-OSS is fully open source, includes clustering capabilities, and is released under the AGPL license.Read 30 Sep 2026 · tdengine.com
- Performance claim
- TDengine states that its architecture delivers more than 10 times the write and query performance of general-purpose databases while reducing storage costs to one tenth.Read 30 Sep 2026 · tdengine.com
- Praise: ease and integration
- G2 reviewers describe SQL access, setup and application integration as relatively easy and reliable.Read 14 Oct 2026 · g2.com
- Praise: performance
- G2 reviewers repeatedly praise fast ingestion and queries, scalability and handling of large high-frequency time-series datasets.Read 14 Oct 2026 · g2.com
- Primary workloads
- The platform targets IoT, connected vehicles, industrial IoT, manufacturing, energy, utilities and other high-volume time-series use cases.Read 14 Oct 2026 · docs.tdengine.com
- Product purpose
- TDengine is an AI-native industrial data platform combining data ingestion, storage, analytics, modeling, visualization, and AI applications.Read 30 Sep 2026 · tdengine.com
- Rating on G2
- 4.7 out of 5 from 15 reviews.Read 14 Oct 2026 · g2.com
- Security compliance
- TDengine states that it supports 21 CFR Part 11 technical controls and complies with SOC 2 and ISO 27001/27017 standards.Read 30 Sep 2026 · tdengine.com
- Security controls
- TDengine Cloud encrypts data in transit and at rest; Enterprise supports configurable encryption, role-based permissions, IP whitelisting, scheduled backups and cross-region replication.Read 14 Oct 2026 · tdengine.com
- Streaming and subscriptions
- The product includes SQL-defined data subscriptions and a built-in stream-processing engine for windowed aggregation and real-time computation.Read 14 Oct 2026 · tdengine.com
- System requirements
- The open-source build supports Linux Ubuntu 18.04+ or CentOS 7+, macOS 10.15+, limited Windows, x86_64 or ARM64, with 4 GB RAM and 2 GB disk recommended.Read 14 Oct 2026 · github.com
- Target users
- TDengine is designed for industrial enterprises and organizations running traditional data historians or legacy industrial IoT platforms.Read 30 Sep 2026 · tdengine.com
- TrustRadius pricing
- TrustRadius lists seven plans, with cloud pricing starting at $820 per month and ranging to $13,150 per month, plus free OSS and an Enterprise contact-sales plan.Read 14 Oct 2026 · trustradius.com
- TrustRadius support
- TrustRadius lists live chat, knowledgebase, social media and video support for free and paid tiers, with phone and email support shown only for paid plans.Read 14 Oct 2026 · trustradius.com
- TSDB capabilities
- TDengine TSDB is a distributed time-series database with built-in caching, stream processing, and data subscription.Read 30 Sep 2026 · tdengine.com
- Visualization
- IDMP provides dashboards, trends, process visualizations, KPI reporting and automatic scenario recognition for dashboards and reports.Read 14 Oct 2026 · tdengine.com
Plans and prices
Strong points and limits
Strong points
- Free self-hosted tier covers up to 5,000 tags.
- TSDB includes caching, stream processing, and data subscription.
- Self-hosting supports edge and cloud deployments.
- TSDB-OSS includes clustering and uses the AGPL license.
- Managed Cloud is offered on AWS, Azure, and Google Cloud.
Limits
- Starter costs $970 a month.
- A 7,500-tag annual license costs $12,500 a year.
- A 7,500-tag perpetual license costs $31,250 as a one-time purchase.
Who it suits
TDengine is designed for industrial enterprises and organizations running traditional data historians or legacy industrial IoT platforms. It may suit teams needing self-hosted or managed deployment and connections to industrial data sources.
Verdict
TDengine combines time-series storage with industrial ingestion, analytics, and multiple deployment options. Organizations should match the tag limits and listed plan costs to their deployment needs.
Where Specifiction places it
- IoT Analytics Software#2 of 248.9
- Time-Series Databases#4 of 368.8
- OLAP Software#5 of 328.7