LlamaIndex gives a model the right context; putting an agent into production is a separate job it leaves to you. With a framework you assemble the parts and operate the result — availability, durable state, governance, and the pager are yours. With a platform the system comes assembled and operated, under a contractual SLA.
LlamaIndex hands you a data framework for retrieval-augmented generation — connectors, parsing, indexing, and query interfaces — plus agentic constructs like Workflows and function-calling agents. Those are libraries you import, deploy, and operate, along with LlamaCloud for managed parsing and indexing.
The substrate an agentic system runs on — a durable runtime, high availability, disaster recovery, and governance — is not part of LlamaIndex, so your team builds, integrates, and operates it. There is no numeric availability SLA on the running system; that is yours to guarantee.
Akka gives you the agents, durable state, streaming, APIs, and governance as one pre-integrated runtime. You describe the system you want, and the platform generates it, tests it, and runs it. Because everything runs in one runtime, a system that compiles is ready for production.
Akka keeps it running around the clock, with active-active replication and automatic failover, and stands behind a contractual 99.9999% availability SLA on the running system.
| Dimension | With LlamaIndex | With Akka |
|---|---|---|
| Availability | No published numeric SLA; "uptime SLAs" are referenced only for the enterprise tier, with no stated percentage, RTO, or RPO. Application uptime and recovery are your team's to own. | Akka owns 99.9999% on the running system — a ~31-second yearly budget — active-active, sub-1-minute RTO, zero-byte RPO. |
| State & memory | Workflows do not auto-checkpoint, so durable state requires an external integration such as DBOS journaling to a database — replay-based, at-least-once, and idempotency is yours to design. | Held in memory, event-sourced and active-active replicated — 4 ms reads, sub-10 ms writes, exactly-once recovery. Durability is a runtime property, not a database round-trip. |
| Governance | Observability and evaluation integrations measure and score retrieval and agent quality. Inline enforcement, immutable evidence, and pre-deployment classification are not provided. | Risk teams define policies independently; the runtime enforces them on every action — HITL, HOTL, guardrails, evaluations — with no developer code, into tamper-evident storage. |
| Runtime track record | A venture-funded data framework whose agentic constructs and managed hosting are recent additions; durable execution depends on an external integration. | since 2007, 100,000+ deployments — the runtime behind systems two billion people use daily. |
| Infrastructure cost | LlamaCloud meters parsing and indexing by consumption credits, and the runtime to run agents — compute, memory, streaming, APIs, governance, HA/DR — is provisioned and paid for separately, on top. | One shared-compute runtime carries the same agentic volume on up to 90% less infrastructure, at a fixed annual fee. Akka Optimize keeps improving the models on your own production traffic, so cost per task keeps falling as the system runs. |
| Portability | A production deployment accretes dependencies on hosted parsing, indexing, and observability services metered per credit and per trace. | Any cloud, on-prem, or sovereign — portable specs, BSL licensing, no per-trace meter. |
It comes down to who writes the policy and when it acts. With LlamaIndex, developers add observability and evaluation tools that measure quality after the fact. With Akka, risk and compliance write the policies independently of the agents, and the runtime enforces them on every action — with no developer code to customize.
Measure & score
With LlamaIndex, governance is something you source and bolt on. Its observability and evaluation integrations instrument the pipeline, trace calls, and score retrieval and agent quality, then report what they find.
Because they work on the record of what already happened, real-time policy enforcement, human pause or override of a running process, an immutable interaction ledger, pre-deployment classification, and a sealed audit artifact are not provided — you assemble them yourself, project by project.
Block & escalate
With Akka, your risk and compliance teams write the policies themselves, in a separate versioned lifecycle that is independent of the agents — there is no developer code to customize. The runtime enforces every policy inline at the agent boundary, so human-in-the-loop approvals, human-on-the-loop halt switches, sanitizers, guardrails, evaluations, testing gates, and simulations all run before an action executes and block or escalate anything that does not pass.
Every call is traced automatically into petabyte-scale, tamper-evident storage, and that same trace data feeds continuous evaluations that keep running in production, right alongside your agents.
Reach for the framework when the job is connecting, parsing, indexing, and retrieving your data so a model has the right context — that is what LlamaIndex is built for. It fits when you are prototyping agent patterns, when the system is internal or low-stakes enough that some downtime is fine, and when your team is ready to own the durable state, scaling, recovery, and governance that come with running it yourself.
Reach for the platform when the system has to stay up, survive failure, and recover on its own, and when it has to pass an audit and enforce governance while it runs. It fits when you want a single vendor accountable for availability under an SLA, and when you would rather ship the agentic system than build and operate the plumbing underneath it.
A sample of agentic and real-time systems on Akka Platform:
Akka Platform builds, runs, and governs agentic systems under a contractual SLA. Tell us what you are building, and we will show you how it runs in production.
