What are the key differences between Splunk and Datadog?

Splunk is incredibly powerful when it comes to log analysis and security use cases, but it can feel heavy and a bit complex to manage at scale. Datadog, on the other hand, feels more straightforward. It brings everything, metrics, logs, traces, into one place and is generally quicker to get up and running. Most teams end up choosing based on what they value more: depth and control, or speed and simplicity.

What does a Splunk to Datadog migration involve?

It's not just a data move, it's more like rebuilding your setup in a new system, without losing what already works. You're moving dashboards, alerts, saved searches, and pipelines. The tricky part is translating Splunk queries into something Datadog understands and making sure dashboards still make sense. Done manually, it's time-consuming. With automation, most of that heavy lifting gets handled, and your team doesn't have to start from scratch.

Does Cisco own Splunk now?

Yes. Cisco completed its acquisition of Splunk in March 2024. For most users, nothing changed overnight, but it has made teams pause and think about the long term, especially around pricing, integrations, and where the product is headed.

Is Splunk a SIEM, and does Datadog support that too?

Yes, Splunk has been used as a SIEM for years, especially with its Enterprise Security setup. Datadog can handle similar use cases now with its Cloud SIEM, covering detection, monitoring, and investigation. The important part during a migration is making sure those detection rules and workflows don't get lost in the process.

How long does a Splunk to Datadog migration usually take?

There's no one-size answer, but for most teams, it lands somewhere between 4 to 8 weeks, depending on how complex the current setup is, including the number of dashboards, alerts, and integrations in use. With the right tools and a clear plan, migrations are usually faster and less painful than doing everything manually.

What is Datadog Bits AI, and where does it fit in after migration?

Datadog Bits AI is Datadog's suite of AI-powered agents designed to help engineering teams spend less time digging through data. It looks at alerts, logs, and system behavior to help surface what matters, like possible root causes or next steps. Once migrated, it works on top of the existing setup, quietly making things faster and easier behind the scenes.

Splunk to Datadog Migration

Automation for Hassle-free, Error-free Migration

The Splunk to Datadog Migration App by Crest Data simplifies the process of moving your monitoring and logging data from Splunk to Datadog.

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Overview

Splunk to Datadog Migration

by Crest Data simplifies the process of moving your monitoring and logging data from Splunk to Datadog.

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Our solution automates the transformation of visualizations, alerts, and data queries, from Splunk SPL to Datadog specific formats, ensuring that your data remains consistent and accurate throughout the transition. This tool enables seamless adaptation of your existing Splunk setups to Datadog’s powerful observability platform, reducing the complexity and risk involved in manual migration processes.

Highlights

Features at a Glance

Automated Visualization Conversion

Effortlessly transform Splunk dashboards and alerts into Datadog-ready formats.

Query Adaptation

Convert Splunk SPL queries into Datadog’s query syntax with minimal effort.

In-Depth Migration Insights

Access detailed reports that provide a clear overview of migration successes and any issues encountered.

Flexible Migration Paths

Choose between various migration strategies that suit your specific needs, whether remote or offline.

Product Snapshots

Inside the Splunk to Datadog Migration App

From configuration and data model mapping to live threat views — a screen-by-screen look at how the app moves your setup from Splunk to Datadog.

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Threat Monitoring

Threat Activity Detection

App List

Configuration

Data Model Mapping

Why Choose Crest Data

Expertise, automation, and dedicated support for every Datadog migration

Industry-Leading Expertise

With extensive experience in data migration and analytics
Crest Data is a trusted leader

Efficiency and Precision

Our platform automates complex tasks
Ensuring quick, accurate results while minimizing errors

Dedicated Support

Receive personalized support from our expert team
Throughout your migration process

Future-Proof Solutions

We continuously update our platform
To include support for new features and capabilities

Ready to migrate?

Talk to our migration experts and kick off your Splunk to Datadog journey with confidence.

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Datadog Migration by the Numbers

Scale that backs every Splunk to Datadog migration

Successful Datadog Migrations

Faster Migrations

Cost Savings

24×7

Managed Services

Resources

Go deeper on Splunk to Datadog Migration

Webinar

Webinar on Migrating from Legacy Platforms to Datadog

User Guide

Splunk to Datadog Migration Platform User Guide

Step-by-step reference for planning, configuring, and running your migration end to end.

Inside the guide

Installation & configuration
Dashboard & alert conversion
Query language mapping (SPL → Datadog)
Data model mapping & migration workflow

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Frequently Asked Questions

Splunk to Datadog Migration FAQs

Answers to the questions we hear most often about migrating from Splunk to Datadog with Crest Data.

If you've worked with both, the difference is pretty clear. Splunk is incredibly powerful when it comes to log analysis and security use cases, but it can feel heavy and a bit complex to manage at scale.

Datadog, on the other hand, feels more straightforward. It brings everything—metrics, logs, traces—into one place and is generally quicker to get up and running.

Most teams end up choosing based on what they value more: depth and control, or speed and simplicity.
It's not just a data move, it's more like rebuilding your setup in a new system, without losing what already works.

You're moving dashboards, alerts, saved searches, and pipelines. The tricky part is translating Splunk queries into something Datadog understands and making sure dashboards still make sense.

Done manually, it's time-consuming. With automation, most of that heavy lifting gets handled, and your team doesn't have to start from scratch.
Yes, that's already happened. Cisco completed its acquisition of Splunk in March 2024.

For most users, nothing changed overnight. But it has definitely made teams pause and think about the long term, especially around pricing, integrations, and where the product is headed.

Some are staying with Splunk, others are exploring alternatives. It really depends on what direction the business wants to take.
Yes, Splunk has been used as a SIEM for years, especially with its Enterprise Security setup. That's one of its strongest areas.

Datadog can handle similar use cases now with its Cloud SIEM. It may not feel identical, but it covers detection, monitoring, and investigation pretty well.

The important part during a migration is making sure those detection rules and workflows don't get lost in the process.
There's no one-size answer, but for most teams, it lands somewhere between 4 to 8 weeks.

A lot depends on how complex your current setup is; how many dashboards, alerts, and integrations you're running.

If you try to do everything manually, it can stretch much longer. With the right tools and a clear plan, it's usually faster and far less painful.
Datadog Bits AI is Datadog's suite of AI-powered agents designed to help engineering teams spend less time digging through data.

It looks at your alerts, logs, and system behavior and helps surface what actually matters, like possible root causes or next steps.

Once you've migrated, it starts working on top of your existing setup. So instead of changing how your team works, it quietly makes things faster and easier behind the scenes.