GRAVWELL VS SPLUNK
Gravwell is a built-from-scratch alternative to Splunk designed for enterprise-scale log search and security investigations. Gravwell ingests and stores data in its raw format (including binary), supports fast, flexible searching, and is built to scale to modern ingest rates, without a pricing model that penalizes you for collecting more data.
Message From The Co Founder
Key Differences
Predictable pricing
Gravwell’s pricing is designed to remain stable even when ingest spikes, helping teams avoid surprise analytics costs.
Raw data ingest
Gravwell can store data in raw form and apply structure at read time (structure-on-read), enabling investigations across diverse data types.
Fast investigations
Gravwell’s query pipeline helps teams search and hunt across large datasets without artificially limiting the questions they can ask.
Automation included
Use Flows to automate queries, generate reports, and push outcomes into tools like Slack/MS Teams and HTTP endpoints.
Gravwell VS Splunk
A side-by-side look at the criteria teams should use when evaluating Splunk alternatives
Gravwell
- Predictable, designed not to punish ingest spikes
- Ingest/store raw data; structure-on-read
- Text + structured + binary
- Pipeline query language; CLI-friendly
- Flows: scheduled queries, reports, notifications, integrations
- SSO, CBAC permissions, HA
- Designed for enterprise scale; large ingest rates referenced on-page
Splunk
- Commonly ingest-based pricing; costs can scale with volume
- Typically relies on parsing/index-time decisions
- Primarily text/structured logs; binary workflows vary by setup
- SPL (widely known); can require tuning at scale
- Capabilities vary by edition/add-ons
- Enterprise-grade controls (edition dependent)
- Proven at scale; may require specialized tuning as volume grows
Predictable Costs vs Ingest-Based Pricing
Splunk evaluations often stall when data volumes increase and teams face hard choices about what to collect, retain, and search. Gravwell is designed to keep pricing predictable so teams can ingest the data they need for incident response, threat hunting, and investigations,without being forced to reduce visibility during spikes.
Raw Data + Structure-on-Read
Gravwell ingests data in its raw format and applies structure when you read/query it. This approach helps teams bring together diverse sources (network telemetry, endpoint/security logs, application logs, cloud logs, and more) without forcing everything into a rigid schema at ingest time.
- Use raw ingest to keep fidelity for investigations
- Apply structure only when needed (faster onboarding of new data sources)
- Support for non-traditional sources (including binary)
Search & Investigations (Hunt Faster)
Gravwell’s search experience is built around a pipe-based query language that will feel familiar to teams who’ve used CLI pipelines, PowerShell, or SPL. This makes it well suited for ad-hoc investigations and repeatable hunt workflows where you need to continuously ask new questions of your data.
Automation & Reporting (Flows)
Flows is Gravwell’s drag-and-drop automation builder for operationalizing investigations. Teams can chain actions together to:
- Run queries
- Generate PDF reports
- Send emails
- Trigger HTTP requests
- Send Slack and Microsoft Teams messages
- Update resource lookups and more
Enterprise Readiness
Gravwell is built with enterprise requirements in mind:
- SSO
- CBAC permissions
- High availability (HA)
- Global presence
Migration: Switching from Splunk
If you’re considering a move away from Splunk, the safest path is phased: migrate high-volume sources first, validate parity for critical detection/investigation workflows, then expand coverage.
- Start with a bounded use case: choose 1–2 teams and 2–3 critical sources (e.g., Windows Event Logs, network telemetry).
- Validate ingest + normalization strategy: confirm raw ingest + structure-on-read workflows meet investigation needs.
- Bring existing tooling forward: use Splunk compatibility paths where available (e.g., HEC-style ingest) to reduce friction.
- Translate workflows: map SPL-heavy workflows to Gravwell pipelines where needed.
- Operationalize: convert repeatable investigations into Flows (scheduled searches, notifications, reports).
FAQs
What is replacing Splunk?
Many teams evaluate alternatives when costs scale with ingest volume, performance/tuning overhead grows, or they need more flexibility in the data they can collect. Gravwell is a Splunk alternative designed for enterprise-scale ingest, fast investigations, and predictable pricing.
What are the disadvantages of Splunk?
Common pain points cited by teams include rising costs as data volume grows and the operational effort required to tune performance at scale. The best alternative depends on your requirements,Gravwell focuses on raw ingest, investigation workflows, and predictable pricing.
Can Elasticsearch replace Splunk?
Some teams use Elasticsearch-based stacks for log search, but trade-offs can include building/operating multiple components and managing scale/tuning. Gravwell is an alternative option when teams want raw ingest flexibility and investigation workflows in a purpose-built platform.
Is Splunk a SIEM?
Splunk is often used for SIEM and security analytics use cases. If your goal is threat hunting and investigations across diverse security and operational data, Gravwell can support those workflows while emphasizing raw data ingest and automation via Flows.
How hard is it to migrate from Splunk?
Migration complexity depends on your data sources, retention needs, and how heavily you rely on SPL dashboards/alerts. A phased migration (pilot → validate workflows → expand sources → automate) reduces risk and protects day-to-day operations.
Searching for no limits and no nonsense?
Contact our team to schedule your demo and see how Gravwell supports enterprise-scale investigations