There are no scalability limits on the Sumo Logic multi-tenant platform. It instantly scales each component of the architecture up or down to meet customer demand.

Elastic Cloud is a single-tenant cloud-hosted solution. Scaling up requires provisioning additional infrastructure and comes at an additional charge. Careful planning and manual intervention are required to manage the infrastructure and avoid performance issues

Sumo Logic provides extensive log ingestion and data collection capabilities with support for a wide variety of data sources. Schemaless ingest makes it easier to ingest any type of data. Unstructured data is automatically recognized and pushed into a schema.

Elastic’s log collection architecture is complex and often requires manual data indexing. Despite claims of schemaless ingestion, the Elastic Agent struggles to recognize various data formats, leading to misformatted logs or, in some cases, dropped data entirely.

Sumo Logic’s powerful and fast query performance with schema-on-write, schema-on-search also supports ad-hoc queries. Sumo Logic’s powerful query language enables precise searches across both structured and unstructured data.

Elasticsearch uses a JSON-based Query DSL, requiring complex query construction. Nested data, multiple aggregations, indexing latency, and high resource demands during heavy queries can degrade performance, as can complex sharding structures.

Sumo Logic’s AI-driven alerting and AI-powered metrics monitor work in tandem to reduce false positives, quickly detect app/service degradation, and speed up issue resolution through automated playbooks.

Elastic lacks AI alerting and AI-driven monitors to reduce false positives and detect app degradation. It offers automation capabilities through integrations with tools like Ansible for streamlined workflows.

Sumo Logic’s generative AI, integrated natively with no extra setup, simplifies log troubleshooting. Mo Copilot lets users ask questions in plain English, offering contextual suggestions and visual charts for faster, more efficient investigations.

Elastic’s AI assistant uses generative AI to provide chat and contextual insights that explain errors and messages and suggest remediation. However, Elastic requires a paid account with a third-party generative AI provider and has integrations to connect to Open AI, Google Gemini and Amazon Bedrock.

Sumo Logic offers advanced visualization tools with a wide range of pre-built dashboards and customizable widgets.

While open-source, Elastic’s Kibana can be cumbersome to set up and prone to issues with incorrect index mappings, leading to inaccurate visualizations. As data scales, performance degrades, especially with complex visualizations. In high-velocity environments, real-time data is often accompanied by noticeable latency.

Sumo Logic’s Flex Licensing decouples data ingestion from cost, allowing teams to ingest everything without worrying about budget overruns—ideal for troubleshooting and forensic analysis.

Elastic Cloud is linearly priced for each stack component and underlying hardware configuration, meaning even if you’re not using it, you are charged for it.