Announcing the SQL Operator

Jad Naous
July 14, 2025
A beaver wearing goggles operates a small wooden watermill structure by a river at sunset, symbolizing intelligent automation and data flow management.

Imagine your log data as raw material you can mold into anything you need. What if you could take the logs already flowing through your systems and turn them in real time into custom metrics, traces, alerts, or compliance reports? What if you could do this using plain SQL, without complex configurations or specialized tools?

Today we are introducing one of our most powerful features, SQL Operators. It gives you the full power of Apache Flink SQL to transform streaming log data into the exact observability insights your business needs.

Why Traditional Tools Fall Short

Most observability tools lock you into predefined formats. APM tools capture traces but miss business context. SIEM tools detect single security events but rarely link patterns across systems. Metrics platforms depend on instrumentation and struggle to keep up with changing business logic.

SQL Operators give you flexibility. Your logs become a living data source you can reshape, combine, and enrich in real time using the SQL you already know.

Real Time Processing with Familiar Syntax

Our SQL Transform Operator brings Apache Flink SQL to your log streams. You can aggregate, filter, and transform data instantly. This is not just about searching logs; it is about creating new observability layers that surface the insights you care about most.

For example, you can build error rate metrics per service directly from existing logs, without waiting for new code instrumentation.

Turning Logs Into Business Insights

Consider a gaming company that wants to understand multiplayer sessions from start to finish. Traditional APM tools show API calls but not full player journeys. With SQL Operators, you can stitch together logs from different services to create traces that follow entire sessions from player connection to match completion.

You can even change your perspective instantly. Switch from viewing data by session to viewing it by game server performance using only a small SQL adjustment.

Faster Troubleshooting

Instead of digging through thousands of lines to piece together what went wrong, SQL Operators let you generate summarized log events that tell the full story. You get clear signals like session success rates, player counts, performance metrics, and links to original data if you need to go deeper.

AI Support for SQL Creation

Even if SQL is not your main language, AI can help. Describe your goal in plain English, such as grouping logs by session ID and tracking player count and duration, and AI can generate optimized SQL for you. It applies the right windowing, filtering, and severity levels automatically. Soon, you will even be able to see live previews of the results as you write.

Real Time Security and Compliance

SQL Operators also shine in security. You can detect complex threats like lateral movement by correlating multiple signals across systems. Instead of isolated alerts, you get a single clear view of suspicious behavior.

These same capabilities create compliance ready audit logs automatically. Events are enriched with business context, risk scoring, and data classification for easy reporting and faster incident response.

Why It Matters

SQL Operators turn log management from a passive process into an active and intelligent workflow. You are not just collecting data; you are shaping it to reflect how your business actually operates.

Whether you run online games, ecommerce systems, or financial services, SQL Operators let you create metrics and traces that follow real user behavior instead of technical silos.

With AI assistance, teams of any size can gain advanced observability without mastering complex stream processing. You will resolve incidents faster, uncover better insights, and keep your observability costs in check.

Get Started

Ready to see it in action?

  1. Choose a business flow that crosses multiple services.
  2. Describe your ideal metric or trace in plain English.
  3. Use AI to generate the SQL transform.
  4. Refine and iterate until it fits your exact needs.

The future of observability is flexible, intelligent, and built on SQL. Try Grepr free at app.grepr.ai/signup or visit grepr.ai for more information.

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