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Better. Faster. Cheaper.
Fluree is the complete context layer: meaning, entities, policy, lineage and time in one system. Here it’s measured against the five stacks it replaces: document extraction, data unification, graph engines, governance suites and AI consumption layers. Already run a catalog? Fluree reads from it. Every benchmark is public, so you can run it yourself.
 | AI Readiness → | The Core | ← Trusted AI | ||
|---|---|---|---|---|---|
| Unstructured vs. parsing pipelines | Structured vs. MDM suites | Graph + Ontology vs. property-graph engines | AI + Data Governance vs. governance platforms | AI Consumption vs. enterprise search & BI | |
| Better what only Fluree does | Extraction that lands as a knowledge graph.1
| Query your lake without moving it.2
| A graph you can fork, sign, and rewind.3
| Governance as a property of the data, not a tool watching it.4
| Answers with receipts.5
|
| Faster the benchmarks | ≈8 ms per document.6 The accuracy runners-up take seconds to minutes per doc. Escalates to a model only when a page earns it — most never do. | No pipeline in the path.7 Queries push down to Iceberg partitions directly — partition pruning, zero copy steps between the lake and the graph. Read more ↗ | 11.5× the next-fastest engine.8 17.5 ms geometric mean with all 105 DBLP queries answered, all 850 WGPB queries on 21.1B Wikidata triples, and fastest on reads and durable writes, on a competitor’s own suite. Read more ↗ | Governed at retrieval speed. Policy travels with the data — no metadata sync jobs, no catalog drift, no policy-engine hop per query. | 115K answers per hour.9 At 32 concurrent clients — 2–5× the nearest engines in the same throughput test. Agent JSON streams schema-once, byte-budgeted results built for LLM loops. Read more ↗ |
| Cheaper the bill | No GPU. No API key. Apache 2.0.10 Model inference only where the page demands it — the competition pays it on every page. Read more ↗ | No ETL line item. Nothing moves and nothing is stored twice — the lake stays the single copy. | Quarter the hardware, keep the speed.11 Cut 16 cores to 4 and queries move 19 ms → 25 ms — still 8× the runner-up at full spec. Zero sidecar bill: search, policy, reasoning all in-engine. Read more ↗ | Three line items become one. The catalog, the policy engine, and the lineage tool collapse into things the ledger simply does. | ≈22× fewer tokens. 77% lower cost per user.12 Modeled across realistic usage tiers: ≈$2.4M back over five years at 50→500 seats — an AI bill you can actually forecast. Read more → |
sources1#1 accuracy of 17 engines · opendataloader-bench2R2RML + partition pruning · docs318 differentiating features — most of any engine measured4Policy & SHACL enforced in-engine · docs5Fluree memory · docs6opendataloader-bench · CPU-only tier7Iceberg graph sources · docs8SPARQLoscope · WGPB · benchgraph · September 2026 results9BSBM throughput ramp · Agent JSON spec10Open source · fluree/fluree-doc-parse11Published resource-scaling run12Modeled TCO · The Tokenomics of Enterprise AI
The stack you don’t buy is the cheapest line item you’ll ever have.
Open standards at every layer. Pay as you go.
Named comparisons, claim by claim.
The matrix above is category-level by design. When you’re weighing specific vendors, these guides do the line-item work — sourced, dated, and honest about where the other side wins.
Toplists & buyer’s guides
Best Context Layer Platforms for AI Agents in 2026
Atlan, DataHub, Snowflake, Databricks, Fluree, Microsoft Fabric IQ, Glean, and Collibra, compared on what agents can see, govern, and replay.Read the comparisonToplistBest Data Platforms for AI Agents in 2026
Snowflake, Databricks, Microsoft Fabric, Google Cloud, AWS, Fluree, Palantir, and Glean, compared on policy at the data, audit of agent reads, and replay.Read the comparisonToplistBest Enterprise AI Search Software in 2026
Glean, Coveo, Elastic, Microsoft 365 Copilot, Guru, Sinequa, and Fluree — connectors, permissions, RAG, agents, and pricing.Read the comparisonToplistBest Semantic Layer Tools for AI in 2026
dbt, Looker, Cube, AtScale, Snowflake, Databricks, and Fluree — where definitions live, how they reach agents, and what they cost.Read the comparisonExplainerContext Layer vs Semantic Layer
What each layer defines, who uses it, and why most teams run both: metrics for BI, context for AI agents.Read the comparisonToplistBest Decision Intelligence Platforms in 2026
Fluree, Palantir, Aera, Quantexa, SAS, and FICO — decision modeling, composite AI, orchestration, and governance.Read the comparisonToplistPalantir Competitors and Alternatives in 2026
Alternatives split by the part of Foundry they replace, with sourced pricing evidence and when to stay on Palantir.Read the comparisonToplistBest Taxonomy Management Software in 2026
Taxonomy and ontology tools compared on standards, governance, publishing, and what pricing is actually public.Read the comparisonBuyer’s guideBest Enterprise Knowledge Graph Software in 2026
Neo4j, Memgraph, Stardog, Fluree, Graphwise, eccenca, and AWS Neptune — profiled against the same six criteria.Read the comparisonHead to head
Fluree vs Neo4j
Data model, Cypher support, time travel, access control, and pricing — plus who should choose which, and how migration works.Read the comparisonHead to headFluree vs Stardog
RDF, reasoning, access control, history, and licensing, checked against both vendors’ current docs.Read the comparisonHead to headFluree vs Glean
Architecture, permission enforcement, citations, AI agents, and pricing — the index versus the knowledge graph.Read the comparisonAlternatives
Neo4j Alternatives in 2026
Six graph databases compared on licensing, query languages, scale, and pricing — every claim sourced and dated.Read the comparisonAlternativesGlean Alternatives in 2026
Seven enterprise AI search platforms compared on permissions, agents, deployment, and pricing — every claim sourced and dated.Read the comparisonAlternativesWeaviate Alternatives in 2026
Seven vector search options compared on deployment, memory economics, hybrid search, and pricing — every claim sourced and dated.Read the comparisonPut your knowledge to work.
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