Splunk replacement for logs, security, and observability
Choose a unified observability and security platform that's fast, affordable, and built for the future.
Elastic vs Splunk: Key differences
Elastic
Splunk
Elastic Observability is delivered via a fully unified user interface and datastore, with Security capabilities additionally offered on the same Elastic Search AI platform.
Splunk's fragmented offerings include Splunk Enterprise, Splunk Cloud, Splunk Security, and Splunk Observability Cloud. Splunk's acquisitions don’t integrate well, creating siloed solutions that are an obstacle to speedy problem resolution.
Elastic offers simple resource-based pricing based only on what you use, with a single SKU for all its features across observability, security and search.
Each Splunk solution has a different pricing model, and you would have to purchase multiple solutions and add ons to achieve full stack observability functionality. Volume and compute-based pricing options create further confusion and unpredictable costs.
Elastic provides a unified datastore for all data (logs, metrics, traces, and profiling) with fast, cost-effective access, even from archival storage tiers (without rehydration), and cross cluster search, ML and analytics across the entire data estate – no matter where your data is located.
Splunk's fragmented solution architecture results in disjointed data sets, and log data that is separated from metrics and traces. In addition, Splunk's data tiering approach effectively has a higher cost:performance ratio compared to the Elastic equivalent, with the lowest cost tiers requiring rehydration (24hr) to access.
ES|QL is Elastic's new piped query language and engine that addresses many of the previous constraints around its JSON-based DSL queries.
Elastic's data lakehouse approach supports both schema-on-read and schema-on-write for highly performant search on both structured and unstructured data.
Splunk's piped query language, SPL, offers a flexible and expressive way to search and manipulate structured and unstructured data.
Elastic full featured Observability and Security solutions are additionally bolstered by advanced search and AI capabilities, including vector search, natural language processing (NLP), a generative AI Assistant powered by RAG, an extensive open library of machine learning models, and flexible, easily customizable ML jobs for any type of data or use case, including business data.
Splunk features a basic set of Observability and Security capabilities across multiple fragmented solutions, without the advanced AI and analytics capabilities that make Elastic truly stand out.
Comparing Elastic vs Splunk data tiers
Gaining a better understanding of the differences between Elastic and Splunk data management approaches can help you make informed decisions for efficient data handling. Read the full blog for a deep dive into this important topic.
See who opted for Elastic
Learn how organizations benefited from using Elastic for Observability and Security.
Customer spotlight
Learn how Cox Communications was able to scale its business and increase efficiency by moving to Elastic.
Customer spotlight
By migrating from Splunk, Entel has the capacity to grow its data ingest and can now provide continuous visibility into critical services across IT and business teams.
Customer spotlight
Oak Ridge National Labs safeguards the world's fastest supercomputer with Elastic, storing 6 months of data (300B documents) and cutting search times from minutes to seconds vs. Splunk.
Splunk replacement for logging
Elastic Observability
Take the first step by consolidating your logs on Elastic and gain the benefits of a unified observability solution built with search-powered AI. With end-to-end visibility across all your logs, metrics, and traces, correlated and in context, you can decrease mean time to resolution (MTTR) and lower total cost of ownership (TCO).
Splunk Replacement for SIEM
Elastic Security
Modernize security operations with an open solution that eliminates blind spots, protects at scale, and raises team productivity. Elastic Security unifies the capabilities of SIEM and security analytics, endpoint security, and cloud security. With advanced entity analytics and AI-driven guidance, it equips security teams to reduce risk and advance SecOps maturity.
Splunk to Elastic migration services
Launch your Splunk to Elastic migration with Elastic Consulting. Experience a seamless migration with our repeatable framework that is scalable and customizable across all deployments and business needs.
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