◆ Platform Comparison
Apinizer VS Gravitee

An event-native gateway, or an all-in-one platform?

Gravitee is an open-source-rooted API platform with a distinctive strength in event-native / async APIs (Kafka, MQTT, WebSocket, SSE), expanding via Enterprise modules (Cockpit, Access Management, Developer Portal, Alert Engine). Apinizer is an all-in-one API Management platform in which the gateway is just one module — alongside a developer portal, RBAC, audit, legacy integration, regulatory compliance, and now a built-in AI Gateway. This report compares the two approaches across architecture, governance, operations, and AI.

All-in-one platform vs OSS core + Enterprise modules 1 license all modules included Built-in AI Gateway module

Executive Summary

Two philosophies, two kinds of buyer

Apinizer ships every management, security, portal and AI capability out of the box — it targets fast time-to-production and low operational overhead in regulated organizations. Gravitee delivers an open-source core with a strong event-native / async-API story, expanded by Enterprise modules — but the OSS edition depends on a MongoDB + Elasticsearch stack and most enterprise capabilities (Cockpit, Access Management, portal, advanced analytics) sit behind a commercial license.

◆ Apinizer

An end-to-end API Management platform. Management UI, RBAC, audit, developer portal, legacy integration and AI Gateway in a single product — one license, local 24/7 support.

▲ Gravitee OSS

Apache 2.0-licensed core gateway. Basic proxy, auth, rate-limit and transform; depends on MongoDB + Elasticsearch. Portal, RBAC, audit and compliance are not part of the core.

■ Gravitee Enterprise

OSS core plus Cockpit, Access Management (OIDC/SAML/MFA), Developer Portal, Alert Engine and event-native APIs (Kafka/MQTT/WS). Powerful for streaming/IoT, but modular licensing and more complex deployment.

15K+Apinizer RPS per node (scenario-dependent)
40+Capabilities compared
16AI Gateway LLM provider catalog
TR/AZLocal SLA + Apinizer Academy

Architecture & Approach

Four dimensions, fundamental differences

The two products diverge sharply on installation, feature set, technical architecture and operational requirements. The four dimensions below capture the axes most decisions turn on.

⚙

Setup & Management

ApinizerKubernetes operators and Helm charts, turnkey single-package installation, automated multi-environment (Dev/QA/Prod), RBAC, audit trail and a management UI all ship out of the box.
GraviteeModular install with a MongoDB + Elasticsearch dependency in OSS. Enterprise centralizes management through Cockpit with multi-environment and stronger RBAC, but a more complex footprint.
◇

Feature Set

ApinizerPolicy-based security, transformation, RLCL, monitoring, developer portal and legacy integration (SOAP, JMS, DB-2-API) out of the box. No-code/low-code.
GraviteeOSS: basic proxy, auth, rate-limit, transform. Enterprise adds event-native APIs (Kafka/MQTT/WS), Access Management, Developer Portal and advanced analytics. Strong async/streaming story.
▤

Technical Architecture

ApinizerJava 25 / Spring Boot + Undertow; virtual-thread-based high concurrency, 15,000+ RPS. Active-active cluster and multi-region DR make it enterprise-ready.
GraviteeJava-based core depending on MongoDB + Elasticsearch. Enterprise adds an event-native architecture, Cockpit and Alert Engine; multi-cluster via Cockpit/MDCB.
⌘

Required Expertise

ApinizerUI-driven no-code/low-code; fast setup. In-platform APIOps automation plus a REST API for CI/CD. Low learning curve.
GraviteeOSS is YAML/JSON config and manual operation; Enterprise adds GitOps, Helm, Operator and CRDs. Plugins are written in Java; the expertise bar is higher.
In short: Apinizer is "a gateway inside a platform"; Gravitee is "an OSS core plus Enterprise modules." Gravitee's standout strength is event-native / async APIs; Apinizer's is regulated-sector governance, legacy integration, simplicity and local support — all out of the box in a single license.

At a Glance

Summary comparison

A side-by-side view of the three options at the positioning and focus level.

Criterion Apinizer Gravitee OSS Gravitee Enterprise
Positioning End-to-end API Management platform (all-in-one) Open-source core gateway (Apache 2.0) Event-native suite + management / portal / analytics
Management Layer Built-in UI, RBAC, audit, multi-environment YAML/JSON config; Mongo/Elastic-backed Cockpit central management, strong RBAC
Developer Portal Built-in portal + subscriptions / plans / monetization None Enterprise Developer Portal
Event-native / Async APIs WebSocket/SSE; Kafka via integration Partial Kafka, MQTT, WebSocket, SSE (native)
Legacy Integration SOAP→REST, JMS, DB-2-API, Script-2-API (no-code) REST/SOAP proxy + advanced mediation
AI Gateway Built-in module (Turkish PII, quota, guardrails, trace) None LLM proxy / agentic (newer)
Primary Focus Regulated institutions, fast time-to-production Community use, open source IoT, telecom, streaming, event-driven, multi-cloud

Deep Dive

Feature & architecture matrix

40+ capabilities, from core technology to compliance reporting. The Apinizer column reflects the platform's out-of-the-box scope; the Gravitee columns separate OSS from Enterprise.

Built-in / full Partial / conditional / add-on None / external required
Feature / Criterion Apinizer Gravitee OSS Gravitee Enterprise
Core & Architecture
Core Technology Java 25 / Spring Boot + Undertow; modular platform Java-based core Java core + enterprise modules
License Model Closed-source, licensed all-in-one Open source (Apache 2.0) Commercial (Planet/Galaxy/Universe tiers)
Deployment Mode Docker/K8s; single package; active-active Modular; Helm (community) + Cockpit, Operator, CRDs
Data Layer Integrated repo/config; lifecycle via UI MongoDB + Elasticsearch Mongo/Elastic + optional SQL
Protocol / API Types REST, SOAP/XML, GraphQL, gRPC, WebSocket, SSE, MQTT REST, SOAP, GraphQL proxy, gRPC + Kafka, MQTT, WebSocket (event-native)
Security & Identity
Authentication & Authorization OAuth2, OIDC, JWT, API Key, Basic, LDAP/AD, SAML, WS-Security API Key, OAuth2, JWT, mTLS + Access Management (OIDC, SAML, MFA)
mTLS / PKI Certificate management + mTLS via policy; HSM integration mTLS supported + centralized management
WAF / Threat Protection Built-in threat-protection policies, IP allow/deny, injection protection None Alert Engine + policy integration
RBAC / Multi-tenancy Built-in multi-tenant; fine-grained RBAC (System/Project/Team) None RBAC + multi-org management
Audit Log (Management) Detailed audit of management and config changes; immutable logs Limited logs Enterprise audit log
Traffic & Transformation
Rate Limiting / Quota RLCL: granular limits per role / app / customer / subscriber Basic rate limit Advanced rate limit / quota
Caching TTL + invalidation + policy-based; distributed (Redis/Hazelcast) None Enterprise cache module
Traffic Management Conditional routing, canary, blue-green, mirroring, circuit breaker Retry/failover (config) Circuit breaker, advanced routing
Transformation / Mediation JOLT (JSON), XSLT (XML), Groovy/JS; visual mapping; SOAP↔REST Request/response transform plugin + advanced mediation
Legacy Integration SOAP→REST, JMS, MQ, DB-2-API, Script-2-API (no-code) SOAP/REST proxy + advanced mediation
Governance & Observability
Developer Portal Built-in portal; subscriptions, key mgmt, try-out, plans/monetization None Enterprise Developer Portal
Observability API Analytics, request logging, correlation, anomaly detection Prometheus, Elasticsearch, OpenTelemetry + adaptive alerting, advanced analytics
Alerting & Monitoring Real-time alerts, dashboards, SLA tracking, anomaly detection External (Prometheus) Alert Engine (adaptive)
Config-as-Code / GitOps Export/Import + in-platform versioning / APIOps; full GitOps, CI/CD Config-as-Code, YAML + GitOps / CI-CD integration
API Lifecycle Versioning, testing, documentation, publish / rollback; automated APIOps Basic versioning Advanced rollout (blue-green, canary)
Performance & Scale
Performance (RPS) 15K+ RPS per node (scenario-dependent) 10K+ RPS per node 10K+ RPS (event-driven overhead)
Latency Low ms; depends on policy/transform count Low; depends on plugin chain Same; async paths vary
Resource Footprint JVM; single-package, optimized JVM + Mongo/Elastic dependency Higher with enterprise modules
High Availability Active-active cluster; DR / multi-region; auto-failover No cluster (single-node) Cockpit + MDCB multi-cluster
Compliance, Cost & Support
Regulatory Compliance Policies + reports that assist KVKK/BDDK/PCI-DSS/ISO 27001 None Enterprise reporting + audit
Compliance Reporting Automated reports, audit outputs, one-click regulatory tracking Manual / external SIEM Enterprise audit/reporting
Cost Model Single license; all modules included; local support Free OSS; operational cost on you Modular enterprise licensing
Support / Training Vendor 24/7; Turkish/Azerbaijani; Apinizer Academy; local team Community support Enterprise SLA, global support
Edge / Multi-cloud LB/CDN + multi-region support Manual Cockpit + multi-cloud, edge support
Note: RPS and latency figures depend on the scenario (plugin/policy count, payload size, hardware) and are not an absolute superiority claim. Gravitee's strength is event-native / async APIs and global multi-cloud distribution; Apinizer targets enterprise-optimized latency with governance, legacy integration and compliance built in.

New Module · The LLM Era

AI Gateway comparison

Organizations now want to route LLM traffic through a managed, secure, cost-controlled layer too. Gravitee is investing in AI/LLM and agentic (MCP) gateway capabilities — LLM proxy, token-based rate-limiting and prompt security. Apinizer positions its AI Gateway not as a separate product but as a built-in module that extends the existing 47-policy framework: just set an API proxy to type = AI — and the same RBAC, audit, quota and observability infrastructure applies to LLM traffic as well, with regulated-sector privacy and compliance built in.

★ Differentiator (MOAT)

Built-in advantage for regulated institutions

Neither Gravitee nor global AI-gateway tools (LiteLLM, Portkey, Cloudflare) offer Turkish PII detection, BDDK-compliant on-prem operation, and KKB AI Sandbox compatibility together out of the box. Apinizer AI Gateway applies these directly to LLM traffic.

Turkish PII MaskingTCKN checksum, IBAN-TR mod-97, Turkish phone — masked at both request and streaming-chunk level.
BDDK / KVKK On-PremControl plane in-country; no SaaS dependency. Unlimited audit retention.
EU AI Act Art.12AI Trace + two-step break-glass approval flow for auditable records.
Built-in / full Partial / roadmap / conditional None / unverified MOAT Coming / Phase 2
AI Gateway Capability Apinizer AI Gateway Gravitee
Multi-provider & Routing
Multi-LLM proxy & provider catalog 5 adapters (OpenAI/Anthropic/Gemini/Bedrock/vLLM)16 providers / 67 models catalog; polymorphic registry LLM proxy (Enterprise/newer)
OpenAI-compatible API surface Yes Yes
Failover + cost-aware downgrade 5-level resolver + CHEAPER_MODEL overflowIdempotent retry; double-count-safe billing Basic failover
Condition-based AI policy + Groovy/JS scripting PolicyCondition + PolicyScript (day-1)Existing Groovy scripts run on the AI route; no new DSL Groovy/policy (general)
Semantic / cost / latency routing ConditionEvaluator reuse Phase 2 Partial
Cost, Quota & Identity
Token-based rate limit & quota 5-level effective limit (Hazelcast IAtomicLong)Monthly reset + reservation TTL + threshold alarms 50/80/90/100% LLM token rate-limit
Per-user / team / project USD budget Owner-embedded AiTokenBudget + USD enforcement Token-based; USD partial
Virtual keys 4-tier scope (USER/ROLE/PROJECT/TEAM) Plans/keys (not AI-scoped tiers)
LDAP/AD identity sync Bank-tested; paged fetch + mTLS Access Management (Enterprise)
Privacy & Guardrails
Turkish PII detection & masking TCKN / IBAN-TR / phone MOATRequest + streaming-chunk level; PrivacyHandler reuse None
Prompt Guard (jailbreak / injection) Dictionary-based + NeMo/LlamaGuard adapter-ready Prompt security
Guardrail latency mode (INLINE/ASYNC/SHADOW) 3 modes; zero-risk evaluation via shadow None
Turkish NER / Presidio (ML-based) BERTurk PIIDetector, target F1 >85% Phase 2 None
Caching & Observability
Semantic cache Exact-match MVP (Hazelcast) Vector in Phase 2 Partial
AI Trace + break-glass audit flow SSE live feed + two-step approval (EU AI Act Art.12) None
OpenTelemetry GenAI semconv gen_ai.* mapper; Dynatrace/InstanaMVP metric fields + full OTLP in Phase 2 OTel; GenAI semconv partial
Cost reconciliation & usage reports 5 breakdowns; input/output/cached cost breakdown Token usage analytics
Anomaly detection (token spike / cost / geo) AnomalyDetector framework reuse Alert Engine (Enterprise)
Governance, MCP & Compliance
AI-specific RBAC (asset categories / roles) 3 asset categories + 5 AI roles; explicit-deploy Enterprise RBAC (general)
MCP Gateway (Model Context Protocol) Bidirectional (Inbound Server + Outbound Client) In developmentMost competitors offer one direction only MCP / Agentic support
BDDK / KVKK on-prem compliance Yes MOAT None
Self-host / air-gap Natural strength OSS, self-host
Positioning: Gravitee is investing in AI/LLM and agentic (MCP) gateway capabilities — LLM proxy, token rate-limiting and prompt security. What it does not provide built-in is Turkish PII masking, guardrail latency modes (INLINE/ASYNC/SHADOW), AI trace + break-glass audit, and regulated-sector (BDDK/KVKK) compliance. Apinizer extends its existing policy, RBAC, audit and quota ecosystem to LLM traffic, so institutions govern AI from the same platform. Phase 2 (true-vector semantic cache, Turkish NER, semantic routing) and extended MCP capabilities are on the Apinizer roadmap.

Strengths

What does each platform do best?

◆ Apinizer advantages

  • Enterprise-ready: Compliance, governance, RBAC, and audit out of the box.
  • One gateway, every protocol: Legacy (SOAP/XML/WS-Security, JMS, MQ), modern (REST/GraphQL/gRPC/WebSocket/SSE) and AI traffic on a single runtime.
  • User-friendly: Visual interface, no-code/low-code approach.
  • Full platform: Portal, analytics, AI Gateway, and support in one product.
  • Regulatory compliance: Policies and reports that assist BDDK, KVKK, PCI-DSS.
  • Single-package: No external Mongo/Elastic dependency to operate.
  • Cost-effective: All modules in a single license; per-pod pricing.
  • Local support: Turkish/Azerbaijani 24/7 SLA and Apinizer Academy training.

▲ Gravitee advantages

  • Event-native APIs: Native Kafka, MQTT, WebSocket and SSE (its standout strength).
  • Open source: Apache 2.0 OSS core, no vendor lock-in.

Decision Guide

Which one, and when?

Both products are strong in their category. The right choice depends on your team's profile, your regulatory load, and the scope you expect from the platform.

Choose Apinizer if…

Regulated organizations focused on fast time-to-production

  • You operate in regulated sectors like finance, public sector, telecom, or defense
  • Legacy integration (SOAP/JMS/DB-2-API) is a critical requirement
  • Compliance and governance are priorities (BDDK/KVKK/PCI-DSS)
  • You want to manage LLM traffic with Turkish PII and on-prem compliance
  • You want a single package without an external Mongo/Elastic operational burden
  • Local enterprise support (TR/AZ) is needed
  • You want a single-license, all-in-one platform with fast time-to-production

Choose Gravitee if…

Event-driven and open-source-first teams

  • Event-native / async APIs (Kafka, MQTT, WebSocket, SSE) are critical
  • You want an open-source (Apache 2.0) core to start from
  • You need Access Management (OIDC, SAML, MFA)
  • You plan global multi-cloud or edge deployment (Cockpit + MDCB)
  • Advanced monitoring, alerting and rollout mechanisms matter
  • You are building IoT, telecom or streaming-centric architectures
Bottom line: Gravitee stands out for event-native / async APIs and global multi-cloud distribution. Apinizer is the more integrated choice for regulated sectors — with governance, compliance, legacy integration, an end-to-end platform, a built-in AI Gateway, and local support — in a single license without an external Mongo/Elastic operational footprint.