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4. [Stream Processing](../develop/stream/): Not only is the continuous query is supported, but TDengine also supports event driven stream processing, so Flink or Spark is not needed for time-series data processing.
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5. [Data Subscription](../develop/tmq/): Application can subscribe a table or a set of tables. API is the same as Kafka, but you can specify filter conditions.
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6. Visualization
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- Supports seamless integration with [Grafana](../third-party/grafana/) for visualization.
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- Supports seamless integration with Google Data Studio.
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- Supports seamless integration with [Grafana](../third-party/grafana/).
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- Supports seamless integration with [Google Data Studio](../third-party/google-data-studio/).
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7. Cluster
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- Supports [cluster](../deployment/) with the capability of increasing processing power by adding more nodes.
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- Supports [deployment on Kubernetes](../deployment/k8s/).
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- Provides [monitoring](../operation/monitor) on running instances of TDengine.
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- Provides many ways to [import](../operation/import) and [export](../operation/export) data.
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9. Tools
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- Provides an interactive [Command-line Interface (CLI)](../reference/taos-shell) for management, maintenance and ad-hoc queries.
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- Provides an interactive [Command Line Interface (CLI)](../reference/taos-shell) for management, maintenance and ad-hoc queries.
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- Provides a tool [taosBenchmark](../reference/taosbenchmark/) for testing the performance of TDengine.
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10. Programming
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- Provides [connectors](../reference/connector/) for [C/C++](../reference/connector/cpp), [Java](../reference/connector/java), [Python](../reference/connector/python), [Go](../reference/connector/go), [Rust](../reference/connector/rust), [Node.js](../reference/connector/node) and other programming languages.
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