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Submitted URL: https://gotfennel.co/
Effective URL: https://fennel.ai/
Submission: On June 12 via api from US — Scanned from DE
Effective URL: https://fennel.ai/
Submission: On June 12 via api from US — Scanned from DE
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CompanyCareersBlogDocumentation Request a demo REALTIME FEATURE PLATFORM. BEAUTIFULLY BUILT. Fennel helps you author, compute, store, serve, monitor & govern both realtime and batch ML features. INCREDIBLY EASY TO INSTALL AND USE. SHIP FEATURES 100X FASTER. YES, 100X. Real Python. No DSLs. No DSL, no Spark or Flink jobs. Plain old Python & Pandas means zero learning curve for you. Automatic Backfills Pipelines backfill automatically on declaration - no more pesky one off scripts. Fully-Managed Infrastructure Fennel brings up & manages everything that is needed - zero dependencies on your prod infra. Feature repository for reuse Write standardized features once, share & reuse across all your use cases. BEST-IN-CLASS DATA QUALITY TOOLING NO MORE FEATURE OR DATA BUGS Strong Typing Catch typing bugs at compile time and at source of data, thanks to strong typing. Immutability & Versioning Immutable & versioned features to eliminate offline online skew due to definition changes. Unit Testing Prevent unforced errors by writing unit tests across batch & realtime pipelines. Compile Time Validation Strict end to end lineage validation at compile time to prevent runtime errors. Data Expectation Specify expected data distributions, get alerted when things go wrong. Online / Offline Skew Single definition of feature across both offline and online scenarios. Data Quality with Fennel POWERFUL & FLEXIBLE INSANELY REALTIME. EXACT SAME CODE AS BATCH. After all, batch is just a special case of stream processing. Why not future proof your ML stack if realtime came for free? Kappa Pipeline Architecture UNPRECEDENTED POWER TEMPORALLY CORRECT STREAMING JOINS NO MORE STALE DATA SUB-SECOND FEATURE FRESHNESS SINGLE-DIGIT MS RESPONSE ULTRA-LOW LATENCY SERVING ENTERPRISE-GRADE PERFORMANCE HASSLE-FREE SCALING SCALABILITY & RELIABILITY Scale to billions of feature queries without lifting a finger. Learn More ENTERPRISE-GRADE SECURITY SOC2-compliant deployment inside your VPC. Learn More CLOUD COST EFFICIENCY Lower cloud cost for the same workload & performance. Learn More HOW IT WORKS READ & WRITE PATH SEPARATION The right abstraction for realtime feature engineering BRING YOUR DATA Use built-in connectors to effortlessly bring all your data to Fennel. DERIVE DATA VIA STREAMING PIPELINES DEFINE FEATURES QUERY VIA THE REST API 1postgres = Postgres(host=...<credentials>...) 2kafka = Kafka(...<credentials>...) 3 4 5@dataset 6@source(postgres.table("user_info", cursor="signup_time"), every="1m") 7@meta(owner="dataOncall@fennel.ai", tags=["PII"]) 8class User: 9 uid: int = field(key=True) 10 dob: datetime 11 country: str 12 signup_time: datetime = field(timestamp=True) 13 14 15@dataset 16@source(kafka.topic('transactions')) 17@meta(owner="chris@fennel.ai") 18class Transaction: 19 uid: int 20 amount: float 21 payment_country: str 22 merchant_id: int 23 timestamp: datetime Show Diagram CRAFTSMAN-LIKE PASSION FOR DEVELOPER EXPERIENCE ARCHITECTED WITH LOVE Explore the Architecture RUST The primary language of our backend, relying heavily on Tokio's async runtime KAFKA Handles all inflow data. All streaming jobs read and write to Kafka. ROCKSDB Handles all at-rest data, with some also offloaded to Redis. RUST The primary language of our backend, relying heavily on Tokio's async runtime KAFKA Handles all inflow data. All streaming jobs read and write to Kafka. ROCKSDB Handles all at-rest data, with some also offloaded to Redis. PANDAS Used as the dataframe interface between user-written code and the server. GRPC Used alongside Protobufs to write services and exchange data. KUBERNETES For maintaining the lifecycle of all running services. PANDAS Used as the dataframe interface between user-written code and the server. GRPC Used alongside Protobufs to write services and exchange data. KUBERNETES For maintaining the lifecycle of all running services. PULUMI Used for provisioning Fennel infrastructure as code. POSTGRESQL Used as a central metadata store, with the exception of customer data. PULUMI Used for provisioning Fennel infrastructure as code. POSTGRESQL Used as a central metadata store, with the exception of customer data. EXPERIENCE THE SLICKEST FEATURE ENGINEERING WORKFLOW Request a Demo SUBSCRIBE FOR UPDATES: Subscribe You can unsubscribe at any time. RESOURCES * Documentation * Blog COMPANY * About * Request a Demo * Careers * Subprocessors Fennel © 2024 Fennel