Elastic — and the OpenSearch lineage beside it — is a genuinely powerful, open search platform with a mature security solution, and this is an honest comparison. The difference is twofold: Elastic is an engine you operate and build detections on, performing the investigation yourself; 24Observe investigates every detection for you with an AI analyst and removes the burden of running a search cluster. Both are open and self-hostable; one is infrastructure you run, the other is investigated incidents delivered.
Elastic earned its place. Its search is fast and flexible, its security solution is mature, the Elastic Common Schema it championed has become an industry standard, and its openness has built a large, loyal community. A fair comparison begins by granting all of that.
The honest framing is about what kind of thing Elastic is: fundamentally, a search engine on which a SIEM is built. That has two consequences for a security team. First, you operate it — Elasticsearch clusters need capacity planning, sharding, upgrades, and ongoing care, and at security-data volumes that is a real, continuous operational commitment that someone on your team owns. Second, you perform the analysis — Elastic gives you a superb engine to write detections on and to hunt with, but the hunting itself, the gathering and correlating and deciding, is still skilled human work the engine enables rather than does.
Both of those are fine if you have the team for them, and a liability if you do not. Many security teams discover that a meaningful share of their effort goes not to security but to keeping the search cluster healthy, and that the alerts their excellent detections produce still pile up faster than analysts can investigate them. The engine is powerful; the work it presumes — operating it, and driving the investigation — is the part that does not scale with a small or stretched team.
24Observe is built to remove both forms of that work. It investigates for you: every detection opens an incident the analyst works, returning a verdict with the evidence cited, so your team triages conclusions instead of constructing hunts. And it is a platform you run as one thing — hosted, or self-hosted as a documented, container-based deployment — rather than a search cluster you operate as a precondition for having a SIEM. Because common sources are normalised to the same shared schema lineage Elastic uses, the model feels familiar and detection logic ports cleanly.
This is not "Elastic is bad" — for a team that wants a powerful open engine it controls end to end, and has the expertise to run clusters and the appetite to build its own detections, Elastic is excellent, and we will say so. It is "24Observe removes the two jobs Elastic presumes" — operating the engine and performing the hunt — for the teams whose constraint is exactly those two jobs.
Elastic is an engine you run and drive. 24Observe runs itself and does the driving. If operating a cluster and hunting by hand are your bottleneck, that is the whole difference.
The differences come down to two jobs Elastic presumes you will do — and that 24Observe does for you.
Every detection arrives investigated, with a verdict and cited evidence — the gathering and correlating done for you. The analyst →
One platform to run, hosted or self-hosted — not a search cluster to capacity-plan, shard, and upgrade as a precondition.
Common sources normalised to the same shared-schema lineage you already know, so the model is familiar and logic ports cleanly.
Related detections sharing a root collapse into a single investigated case, so a team works the intrusion, not the alerts.
Prompt injection, tool-loop abuse, and tool-protocol attacks as first-class detections. Agent security →
Open source with an identical-contract self-host, analyst included — the openness of Elastic, less of the operation. Self-host →
Elastic's search is deep and flexible, and the control it offers is real: you can tune the engine, shape the indices, and build precisely the detections and hunts you want on a mature, well-documented platform. For a team that wants that level of control and has the expertise to wield it, the flexibility is a genuine advantage, not overhead. 24Observe is more opinionated by design; if maximum search-engine control is your requirement, that opinionation is a constraint we would rather name than gloss over.
Elastic has a long track record at scale, a large community, broad ingest tooling, and a security solution that has been refined over years. 24Observe is younger and more focused, and we describe what it does rather than implying an equivalent ecosystem or reference base. If your decision rests on a mature, broad ecosystem and a long public history at scale, that is an honest point in Elastic's favour today.
Yet for many teams the two jobs Elastic presumes are precisely the binding constraints. Operating clusters consumes engineers who would rather be doing security; investigating by hand consumes analysts faster than they can be hired. For those teams, having the hunt done automatically and not running a cluster at all is worth more than search-engine control they would rarely exercise to its limit. Give up some control and ecosystem; gain conclusions and a lighter operation — a favourable trade for a large part of the market.
Because common sources are normalised to the same shared-schema lineage Elastic uses, moving is less jarring than a cross-vendor switch usually is — the way you think about events carries over. And 24Observe ingests open standards and exports cleanly, so you can run it alongside an existing Elastic deployment, point some sources at it, and compare investigated-incidents against build-your-own-hunt on your own data before committing. An honest comparison should come with an honest way to test it.
Choose Elastic / OpenSearch if you want a powerful, open search platform you control end to end, you have the expertise to operate clusters well, and you value building and tuning your own detections on a mature, flexible engine. Its search depth, openness, and security maturity are real advantages, and for a team with the operational capacity and the desire for that control, it is a strong, defensible choice.
Choose 24Observe if the two jobs an engine presumes — operating it and driving the investigation — are your binding constraints. Choose it for investigation done by an analyst, no search cluster to run, an ECS-familiar model, AI-agent coverage, and the openness and self-hosting you would have wanted from Elastic anyway. Teams who like Elastic's principles but not its operational weight, and who want the hunting done for them, are exactly who this is for.
The migration is unusually low-risk because the schema thinking carries over. Run 24Observe next to your Elastic deployment, point a few sources at it, and compare arriving-at-a-verdict against building-your-own-hunt — on your own alerts, with your existing tools still fed by export, before you decide anything.
The migration is eased by the one thing Elastic users care most about: the schema. Because common sources are normalised to the same Elastic Common Schema lineage you already think in, your mental model of events carries straight over — fields mean what you expect, and detection logic translates rather than being reinvented. Point your sources, or a copy, at 24Observe over open standards and webhook ingest while your Elastic cluster keeps running, and you are comparing on familiar ground from the first event.
What you will feel quickly is the absence of two jobs. There is no cluster to nurse — no sharding, no capacity scramble, no upgrade window — because you are running a platform, not an engine. And there is no cold hunt after an alert, because the analyst has already gathered and correlated and reached a verdict. Spend the evaluation watching how much of your team's week those two absences give back; for teams who have been quietly funding a cluster and a manual hunt, it tends to be the most persuasive part of the trial, more than any single feature.
The honest caveat: Elastic gives you more raw search control and a deeper, more mature ecosystem than a younger, more opinionated platform does, and teams who want to operate their own engine end to end will value that. We are not trying to win them. We are trying to serve the teams whose binding constraints are exactly the two jobs an engine presumes — running it and driving it — and for whom removing both, while keeping openness and self-hosting and a familiar schema, is the better deal. Test it on your own alerts and let the time-saved decide.
One way to frame the decision cleanly: separate the engine from the outcome. Elastic is, at its core, a superb general-purpose search engine, and a great deal of its value — and its operational weight — comes from that generality. If you genuinely want a search engine, to build many things on beyond security, that generality is an asset and you should keep it. If what you actually want is the security outcome — threats caught, incidents investigated, a SOC that keeps up — then a platform built for that outcome, rather than a general engine you must shape into it, will get you there with far less to operate and far less to do by hand. Be honest with yourself about which you are buying, because the right answer follows directly from that.
Get detection and investigation over your logs without operating a search engine — the analyst does the hunt, the schema is familiar, and you can still self-host the whole thing.