Apache BookKeeper
Apache BookKeeper is a scalable, fault-tolerant, and low-latency storage service optimized for real-time workloads developed by the Apache Software Foundation. It provides a simple log-oriented storage abstraction called ledgers for reliable, replicated storage of sequential data. BookKeeper is used as the durable log storage layer in Apache Pulsar and other distributed messaging and stream processing systems. It provides a Java client API and an HTTP Admin REST API for cluster management, bookie monitoring, and auto-recovery operations.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Apache BookKeeper the way a machine reads it — 56 machine-readable artifacts across 6 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Apache BookKeeper scores 56.5/100 (developing), with a separate agent-readiness read of 39/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Apache BookKeeper
Each block below is one kind of artifact we hold for Apache BookKeeper. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 6
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Apache BookKeeper Java Client API
The BookKeeper Java client API provides programmatic access for creating, writing, reading, and managing ledgers. It supports both the legacy LedgerHandle API and the newer Ledg...
Apache BookKeeper Auto Recovery API
Under-replication detection and bookie recovery operations.
Apache BookKeeper Bookies API
Bookie node management and status operations.
Apache BookKeeper Configuration API
Server configuration management.
Apache BookKeeper Ledgers API
Ledger management and inspection operations.
Apache BookKeeper Monitoring API
Health checks and metrics endpoints.
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Apache Bookkeeper Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Apache Bookkeeper Finops
FINOPSFeatures 8
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Ledger Storage
Append-only log segments called ledgers provide the foundational storage primitive for reliable sequential data storage.
Ensemble Replication
Data is written to a configurable ensemble of bookies with write quorum and ack quorum parameters for fault tolerance.
Auto-Recovery
Built-in under-replication detection and automatic ledger re-replication when bookie nodes fail.
HTTP Admin API
RESTful HTTP Admin API for managing ledgers, bookies, cluster configuration, and triggering recovery operations.
Metrics Export
Prometheus-format metrics endpoint for monitoring bookie performance and storage utilization.
Auditor Election
ZooKeeper-based leader election for the auditor role responsible for detecting under-replicated ledgers.
Garbage Collection
Configurable garbage collection for reclaiming storage from deleted or expired ledger data.
Journal and Ledger Storage
Separate journal and ledger storage paths optimized for sequential write throughput and random read performance.
Scroll within the panel for all 8 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Apache Bookkeeper Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Apache BookKeeper API Rules
SPECTRALApache BookKeeper API Rules
SPECTRALJSON Schema 9
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
AuditorInfo
JSON SCHEMABookieInfo
JSON SCHEMABookieList
JSON SCHEMABookieState
JSON SCHEMAClusterInfo
JSON SCHEMAGcStatus
JSON SCHEMALedgerEntries
JSON SCHEMALedgerList
JSON SCHEMALedgerMetadata
JSON SCHEMAScroll within the panel for all 9 ·
JSON Structure 9
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Bookkeeper Admin Auditor Info Structure
JSON STRUCTUREBookkeeper Admin Bookie Info Structure
JSON STRUCTUREBookkeeper Admin Bookie List Structure
JSON STRUCTUREBookkeeper Admin Bookie State Structure
JSON STRUCTUREBookkeeper Admin Cluster Info Structure
JSON STRUCTUREBookkeeper Admin Gc Status Structure
JSON STRUCTUREBookkeeper Admin Ledger Entries Structure
JSON STRUCTUREBookkeeper Admin Ledger List Structure
JSON STRUCTUREBookkeeper Admin Ledger Metadata Structure
JSON STRUCTUREScroll within the panel for all 9 ·
Examples 5
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Durable Log Storage
Serve as the replicated, durable write-ahead log for Apache Pulsar topics and distributed streaming systems.
Distributed Transaction Logs
Store distributed transaction log segments for systems requiring exactly-once semantics and durable commit records.
Metadata Store
Persist metadata and configuration data for distributed systems requiring consistent, replicated storage.
Stream Processing Storage
Provide low-latency, high-throughput sequential storage for real-time stream processing pipelines.
Cluster Administration
Monitor and manage BookKeeper clusters using the HTTP Admin API for operational visibility and recovery.
Integrations 5
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Apache Pulsar
BookKeeper serves as the durable log storage layer for Apache Pulsar messaging topics.
Apache ZooKeeper
ZooKeeper is used for bookie coordination, auditor election, and cluster metadata management.
Apache Hadoop
BookKeeper can be used with Hadoop ecosystem tools for reliable log storage alongside HDFS.
Prometheus
BookKeeper exports Prometheus-format metrics for cluster monitoring and alerting.
Grafana
Grafana dashboards consume BookKeeper Prometheus metrics for operational visibility.
Resources
Every other property we hold for Apache BookKeeper — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
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