Open-Source Databases · zhp8341

flink-streaming-platform-web

Flink Streaming Platform Web is a lightweight, open-source web UI for Apache Flink that lets teams configure and manage real-time streaming jobs using SQL without writing code. It supports multiple deployment modes, custom UDFs, connectors, and operational features like alerting and savepoint management.

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Source: GitHub — github.com/zhp8341/flink-streaming-platform-web

1.9k

GitHub stars

682

Forks

Java

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	zhp8341/flink-streaming-platform-web
Owner	zhp8341
Primary language	Java
License	MIT — OSI-approved
Stars	1.9k
Forks	682
Open issues	32
Latest release	tagV20230610(flink1.16.2) (2023-06-10)
Last updated	2025-12-02
Source	https://github.com/zhp8341/flink-streaming-platform-web

What flink-streaming-platform-web is

Java-based web platform wrapping Apache Flink (tested up to 1.16.7) with SQL IDE, job lifecycle management (local/YARN/STANDALONE/Application modes), catalog/Hive support, custom JAR submission, and integration with Flink SQL connectors. Provides syntax highlighting, validation, and operational dashboards for monitoring streaming pipelines.

Quickstart

Get the flink-streaming-platform-web source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/zhp8341/flink-streaming-platform-web.git2cd flink-streaming-platform-web3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

SQL-First Stream Processing

Ideal for teams building real-time ETL pipelines using Flink SQL without coding. Non-engineers can configure source→sink→transformation jobs via the web UI with SQL syntax hints and validation.

Multi-Environment Flink Operations

Supports local development, YARN-per-job, STANDALONE, and Application mode deployments. Streamlines job submission, monitoring, and recovery with savepoint management across heterogeneous cluster setups.

Lightweight Alternative to Enterprise Platforms

Lower overhead than commercial streaming platforms. Suitable for cost-conscious organizations needing core job management, alerting (DingTalk, webhook), and UDF/connector management without extensive infrastructure.

Implementation considerations

Deployment requires prior Flink cluster setup (local, YARN, STANDALONE, or Kubernetes via custom image); platform wraps Flink but does not provision it. Environment parity between development and production is critical.
JAR dependency management can cause conflicts if connectors/UDFs are not properly shaded. Recommend storing third-party JARs on internal HTTP service rather than flink/lib to isolate per-task dependencies.
Requires Java expertise for custom UDFs and connector integration. SQL IDE is accessible; operational tasks (debugging, troubleshooting cluster issues) demand Flink familiarity.
Savepoint backup/restore workflow adds operational overhead—must be explicitly configured. Plan backup storage separately; not integrated with external backup systems.
Multi-version Flink support requires source recompilation. If you need versions beyond 1.16.7, budget time and maintainer capacity to patch the codebase.

When to avoid it — and what to weigh

Production-Critical SLAs Without Internal Support — While MIT-licensed and open-source, this is a community project with finite maintainer availability. Paid technical support is offered but not guaranteed. Production deployments need internal expertise or commercial backing.
Hadoop/Flink Environment Highly Customized — README explicitly warns that heterogeneous Hadoop cluster environments can cause deployment friction. Requires recompilation of the platform for custom Flink versions. Version mismatches (ES, HBase) may demand source modification.
Enterprise Feature Requirements (ACL, Multi-Tenancy, Audit Logs) — No mention of role-based access control, multi-tenant isolation, or compliance audit trails. Focuses on job development and execution, not enterprise governance layers.
SELECT-Only Analytics Workloads — Platform explicitly does not support standalone SELECT queries. Designed for INSERT/INSERT OVERWRITE pipelines. Not suitable for ad-hoc SQL exploration or analytics.

License & commercial use

MIT License (SPDX: MIT). Permissive OSI-approved license allowing commercial use, modification, and distribution with no warranty. Requires inclusion of original MIT notice in distributions.

MIT License permits commercial use without restriction. However, no indemnification, liability limits, or SLA guarantees are provided by the maintainer. Paid technical support is offered separately (see /docs/service.md) but not bundled. Organizations using this in production should establish internal support capacity or contract paid support explicitly.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	High
DEV.co fit	Good
Assessment confidence	High

Security considerations

No explicit security features documented (authentication, encryption, audit logs). Platform runs as wrapper over Flink; security posture depends on underlying Flink cluster configuration (YARN ACLs, TLS, etc.). JAR upload/custom UDF submission could be an attack vector if access is not restricted. No mention of input validation or SQL injection mitigations in the web IDE. Requires external network segmentation and access control policies. Production deployments should assume zero built-in security and layer authorization at the proxy/network level.

Alternatives to consider

Apache Superset + Flink

Superset provides a general-purpose SQL IDE and dashboard layer but not Flink-specific job lifecycle management. Better for analytics; weaker for streaming job operations.

Ververica Cloud / Confluent Cloud Flink

Commercial, fully managed Flink platforms with enterprise support, multi-tenancy, and compliance. Higher cost but eliminates deployment and support burden.

DIY Flink + Custom Dashboard

Software development agency

Build on flink-streaming-platform-web with DEV.co software developers

This platform accelerates Flink job development for SQL-first teams but demands strong operational infrastructure. Let's assess your Flink cluster readiness, support strategy, and integration needs. Contact Devco to plan a secure, maintainable deployment.

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flink-streaming-platform-web FAQ

Can I use this in production?

Yes, technically, under the MIT License. However, it is a community-driven open-source project with no formal SLA. Plan for internal support or contract paid support from the maintainer. Ensure your Flink cluster is hardened and monitored independently.

What Flink versions are supported?

Tested/documented up to Flink 1.16.7. Older versions (e.g., 1.13, 1.14) are mentioned in docs. Newer versions may require source recompilation. Check /docs/compile.md for instructions.

How do I add Kafka, JDBC, or other connectors?

Download JAR files from Apache Flink's official connectors repo. Either place them in flink/lib/ or host on an HTTP server and reference URLs in the platform's JAR management UI. Shade and test for conflicts first.

Is there a Kubernetes deployment guide?

Not directly. README states K8s is theoretically feasible but requires custom Flink image. Docker containerization example is provided. Plan to adapt the standard Flink K8s operator alongside this platform.

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