Hey everyone, just getting started with Panther and exploring their data features. I saw they released a new data lake connector and was curious if anyone has tried it yet.
I'm mainly using Panther for basic CRM and email campaigns right now, but want to get better at reporting. Is this connector worth looking into for someone still learning? Does it make it easier to pull customer data for things like sales automation? Thanks for any advice
I'm Anastasia, head of platform at a ~400 person fintech, and I've had Panther running in production for security log analysis for about 18 months, ingesting roughly 1.2 TB daily from our K8s and cloud service logs.
* **Target Audience - Mid-Market and Up:** This connector is built for companies that already have a dedicated data lake (S3-based) and a separate analytics or BI stack (Snowflake, Redshift, Athena). If you're a solo founder or a small shop using Panther *only* for CRM and email, this is massive overkill.
* **Real Cost - The Compute is on You:** Panther's connector pricing is straightforward, but the real expense is the data processing and storage in your cloud. In my last cost review, running daily Glue jobs and storing processed Parquet in S3 added about $850/month to our AWS bill for a moderate volume. That's before any analytics warehouse costs.
* **Integration Effort - A Week of Config, Not Clicks:** You're not just flipping a switch. You need to configure IAM roles, set up the S3 bucket structure, define the Glue table schema, and adjust Panther's data classification rules for the new pipeline. My team spent roughly five business days getting it production-ready and validated.
* **Clear Win for Compliance and Retention:** The absolute win is for regulated industries (like ours) needing long-term, immutable storage for audit logs. We keep hot data in Panther for 90 days and ship everything to the data lake for 7-year retention. Querying performance inside Panther isn't the goal; getting data *out* in a standard format for your compliance team or custom reports is.
* **Where It Breaks - Real-Time Analytics:** This is a batch connector, usually on a daily sync cycle. It is useless for real-time sales automation or dashboards that need data from the last hour. You'll get yesterday's data tomorrow. For pulling customer data for active campaigns, you're still better off using Panther's standard APIs or webhooks.
My pick is only to implement this connector if you have a specific compliance retention requirement or an existing data science team that demands Parquet/ORC files for model training. For your stated use of learning reporting and sales automation, stick to Panther's built-in reporting and their standard APIs. To make a clean call, tell us: what's the *oldest* data you ever need to report on, and do you have a data engineer or analyst who currently manages a data warehouse?