Elastic vs Neo4j

Better together: Celebrating the 2026–2027 Elastic Partner Awards

We created the Elastic Partner Awards to recognize our partners' contributions and the results they are delivering for customers. See who the Elastic Partner Award winners are for 2026–2027!

10-Q Financial Filing Analysis for Elastic (2026-08-28)

Elastic N.V. reported its financial results for the first quarter of fiscal 2027 ended July 31, 2026, delivering total revenue of $478.11 million, up 15% year-over-year. The growth was led by Elastic Cloud, which increased 20% year-over-year to $235.21 million and now represents 49% of total company revenue. Concurrently, Elastic initiated a restructuring plan on June 24, 2026, to streamline operations, involving a 7% workforce reduction and $19.92 million in restructuring charges. Further expanding its product capabilities, Elastic also executed a post-quarter cash acquisition of Deductive AI, Inc. for approximately $70 million.

• Q1 FY2027 total revenue rose 15% year-over-year to $478.11 million, with Elastic Cloud increasing 20% to $235.21 million (49% of total revenue).
• Restructuring plan initiated on June 24, 2026, resulted in a 7% workforce reduction and $19.92 million in restructuring and related charges.
• Post-quarter cash acquisition of Deductive AI, Inc. closed on August 21, 2026, for approximately $70 million.

Elastic Nominates Julia Liuson to Board

Elastic announced the nomination of Julia Liuson to its Board of Directors. Liuson is a veteran technology executive who most recently served as President of Microsoft’s Developer Division and played a leadership role in integrating AI into developer tools including work with GitHub. Her nomination is subject to shareholder approval at Elastic’s annual general meeting in October 2026; if elected she will join the company’s Compensation Committee. The release also notes that Caryn Marooney will not stand for re-appointment when her term expires in October 2026. Elastic positioned the nomination as adding AI and developer-platform expertise as the company pursues opportunities connecting AI applications and agents to enterprise data for observability and security use cases.

• Elastic nominated Julia Liuson to its Board of Directors.
• Julia Liuson most recently served as President of Microsoft’s Developer Division and worked on GitHub integrations such as GitHub Copilot.
• Liuson’s nomination is subject to a shareholder vote at Elastic’s 2026 annual general meeting in October 2026.

Neo4j GraphAware Financial Crime Intelligence debuts for full-cycle detection, investigation & prevention

Neo4j has launched GraphAware Financial Crime Intelligence, a new solution for full-cycle detection, investigation, and prevention of financial crime. This follows the acquisition of GraphAware and the launch of intelligence analysis solutions.

Introducing Neo4j GraphAware Financial Crime Intelligence

Neo4j launches GraphAware Financial Crime Intelligence, a new solution for financial crime detection and investigation, and introduces Graph Analytics for self-managed deployments.

Benchmark of Five Managed Graph Databases

A reproducible benchmark comparing CognoDB Cloud, Neo4j AuraDB, Memgraph, FalkorDB and ArangoDB revealed major pitfalls in naive measurement: geographic placement of managed instances skewed raw latency numbers, server-reported execution time (via Bolt drivers) is required for fair engine-to-engine comparison, and CognoDB v0.9.11 exhibited a background-indexing behaviour that caused indexed lookups to return no results while an index was building, silently dropping relationship writes. Concurrency characteristics differed: cloud-hosted databases scaled with client concurrency due to network latency hiding server idle time, while local instances became CPU-bound and slowed. The author published the full harness and raw data on GitHub.

• Five graph databases were benchmarked: CognoDB Cloud, Neo4j AuraDB, Memgraph, FalkorDB and ArangoDB.
• Geographic placement of managed cloud instances (e.g., CognoDB in Google Cloud us-east4 and Neo4j AuraDB in Google's Singapore range) skewed raw wall-clock latency measurements.
• Using server-reported execution time via Bolt drivers (network excluded) was necessary to fairly compare engines in different regions.