--- title: Rust for Big Data and Parallel Processing Applications description: Rust in Big Data and Parallel Processing Applications is essential for Building Software, Rust is out performing Java. Learn why it is preferred. image: https://www.xenonstack.com/hubfs/rust-big-data-applications.png --- - [![xenonstack-logo](https://www.xenonstack.com/hubfs/xenonstack-logo-new-relase.svg)](https://www.xenonstack.com/) - - Foundry Foundry Unified reasoning foundation enabling seamless orchestration, analytics, infrastructure, and trust across intelligent ecosystems [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/our-purpose-line-icon.svg) Akira AI - Reasoning and Agent Orchestration Turn models into collaborative, policy-governed agents that learn and act together](https://www.xenonstack.com/agentic-platforms/akira-ai/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/autonomous-operations-icon.svg) ElixirData - Agentic Analytics Intelligence Explainable, decision-centric analytics for measurable business outcomes](https://www.xenonstack.com/agentic-platforms/elixirdata/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/digital-immune-system-icon.svg) NexaStack - 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AI Agents AI Agents Pre-built autonomous agents designed for domain-specific intelligence, seamless integrations, and governed enterprise deployment By Domain [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-enterprise-operational-analytics.svg) Agentic Operations AgentSRE and AgentOps for automated reliability and IT operations](https://www.xenonstack.com/ai-agents/agentic-operations/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-fintech.svg) Agentic Finance FinOps Agent and Budget Enforcer for optimized financial governance](https://www.xenonstack.com/ai-agents/agentic-finance/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/case-study-icon.svg) Agentic Risk and Compliance Audit Agent and Risk Assurance to automate compliance monitoring](https://www.xenonstack.com/ai-agents/agentic-risk-compliance/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-digital-experience-platform.svg) Agentic Analytics Analyst Agent and Decision Advisor for AI-driven insights and strategy](https://www.xenonstack.com/ai-agents/agentic-analytics/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/developer-experience-icon.svg) Agentic Supply Chain AI-powered advisor for smart sourcing, vendor insights, and strategic procurement](https://www.xenonstack.com/ai-agents/agentic-procurement/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-serverless-application-development.svg) Agentic Security AI-driven defense delivering proactive threat detection and autonomous security orchestration](https://www.xenonstack.com/ai-agents/agentic-security/) By Integration [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/decision-intelligence-metaverse.svg) Snowflake AI Agents Pre-built connectors for real-time data intelligence on Snowflake](https://www.xenonstack.com/ai-agents/snowflake-ai-agents/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-cloud-migration.svg) Databricks AI Agents AI agents for automated data workflows and insights on Databricks](https://www.xenonstack.com/ai-agents/databricks-ai-agents/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-application-modernization.svg) ServiceNow AI Agents AI workflows to streamline service, incident, and operations automation](https://www.xenonstack.com/ai-agents/servicenow-ai-agents/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/cloud-native-devsecops.svg) Jira/Project Management Agents AI agents for backlog grooming, sprint planning, and real-time project visibility](https://www.xenonstack.com/ai-agents/jira-agents-actions/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-digital-experience-platform.svg) SAP AI Agents AI copilots for finance, supply chain, and HR decisions across your SAP landscape](https://www.xenonstack.com/ai-agents/sap-agents-actions/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ai-driven-industries-hr-and-recruitment.svg) Oracle AI Agents AI agents for financials, risk, and operations intelligence across Oracle applications](https://www.xenonstack.com/ai-agents/oracle-agents-actions/) - Solutions Solutions Governed AI solutions driving measurable business outcomes across operations, finance, security, and analytics [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/cloud-native-devops.svg) ReliabilityOps — Cloud Reliability Automation Automate reliability checks and optimize uptime with continuous reasoning](https://www.xenonstack.com/ai-agents/cloudops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/cloud-native-kubernetes.svg) IncidentOps — AI-Driven Site Reliability Resolve incidents faster with AI-led triage, contextual RCA, and adaptive recovery](https://www.xenonstack.com/ai-agents/sre-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-custom-software-development.svg) PlatformOps — Unified Platform Automation Unify infrastructure and AI systems with reasoning-driven automation and compliance](https://www.xenonstack.com/ai-agents/platformops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/decision-intelligence-customer-analytics.svg) DefenseOps — Autonomous Threat Defense Detect, analyze, and neutralize threats autonomously with adaptive defense intelligence](https://www.xenonstack.com/ai-agents/responsible-ai-aviator/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-business-intelligence.svg) TrustOps — Responsible AI and Continuous Governance Ensure transparency, fairness, and compliance in every AI system and decision](https://www.xenonstack.com/ai-agents/secops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ai-driven-industries-manufacturing.svg) RiskOps — Predictive Risk Intelligence Predict, score, and mitigate risks proactively with real-time assurance intelligence](https://www.xenonstack.com/ai-agents/risk-management-aviator/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-explainable-ai.svg) FactoryOps — AI-Driven Industrial Automation Predict equipment failures and optimize production with adaptive intelligence](https://www.xenonstack.com/ai-agents/industrial-automation-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-enterprise-operational-analytics.svg) AssetOps — Automated Asset Reliability Enable predictive maintenance and optimize lifecycle performance continuously](https://www.xenonstack.com/ai-agents/asset-operations-and-maintenance-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ai-driven-industries-infrastructure%20.svg) QualityOps — Continuous Testing Intelligence Accelerate testing cycles with autonomous validation and reasoning feedback](https://www.xenonstack.com/ai-agents/qaops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-insurance.svg) SourcingOps — Intelligent Procurement Automate sourcing, vendor analysis, and spend insights for agile procurement](https://www.xenonstack.com/ai-agents/procurement-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/decision-intelligence-augmented-data-management.svg) DataOps — Autonomous Data Pipeline Governance Ensure reliability, detect anomalies, and self-heal data pipelines automatically](https://www.xenonstack.com/ai-agents/dataops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/decision-intelligence-metaverse.svg) DecisionOps — Intelligent Decisioning Deliver explainable, auditable, and measurable outcomes with reasoning AI](https://www.xenonstack.com/ai-agents/desicison-reimagined/) - Industries Industries Industry blueprints showcasing agentic transformation, real-world impact, and measurable outcomes across key sectors [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-computer-vision.svg) Aerospace and Defense Autonomous flight systems and predictive maintenance powered by AI](https://www.xenonstack.com/industries/aerospace/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-fintech.svg) Banking - Finance - Payments AI governance for secure, compliant, and adaptive financial operations](https://www.xenonstack.com/industries/banking/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-retail.svg) Manufacturing and Industrial Automation Smart factories using reasoning systems for real-time quality optimization](https://www.xenonstack.com/industries/digital-manufacturing-services/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-cloud-infrastrcuture.svg) Enterprise - 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Explore career opportunities to work at the forefront of innovation](https://www.xenonstack.com/careers/) - Get Started [![xenonstack-logo](https://www.xenonstack.com/hubfs/xenonstack-logo-new-relase.svg)](https://www.xenonstack.com/) - Foundry ![dropdown-icon](https://www.elixirclaw.ai/hubfs/dropdown-assets/dropdown-icon.svg) [Akira AI](https://www.xenonstack.com/agentic-platforms/akira-ai/) [ElixirData](https://www.xenonstack.com/agentic-platforms/elixirdata/) [NexaStack](https://www.xenonstack.com/agentic-platforms/nexastack-unified-inference/) [MetaSecure](https://www.xenonstack.com/agentic-platforms/metasecure/) [Neural AI](https://www.xenonstack.com/agentic-platforms/neural-ai/) - AI Agents ![dropdown-icon](https://www.elixirclaw.ai/hubfs/dropdown-assets/dropdown-icon.svg) [Agentic Operations](https://www.xenonstack.com/ai-agents/agentic-operations/) [Agentic Finance](https://www.xenonstack.com/ai-agents/agentic-finance/) [Agentic Risk and Compliance](https://www.xenonstack.com/ai-agents/agentic-risk-compliance/) [Agentic Analytics](https://www.xenonstack.com/ai-agents/agentic-analytics/) [Agentic Supply Chain](https://www.xenonstack.com/ai-agents/agentic-procurement/) [Agentic Security](https://www.xenonstack.com/ai-agents/agentic-security/) [Snowflake AI Agents](https://www.xenonstack.com/ai-agents/snowflake-ai-agents/) [Databricks AI Agents](https://www.xenonstack.com/ai-agents/databricks-ai-agents/) [ServiceNow AI Agents](https://www.xenonstack.com/ai-agents/servicenow-ai-agents/) [Jira/Project Management Agents](https://www.xenonstack.com/ai-agents/jira-agents-actions/) [SAP AI Agents](https://www.xenonstack.com/ai-agents/sap-agents-actions/) [Oracle AI Agents](https://www.xenonstack.com/ai-agents/oracle-agents-actions/) - 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Get Started ![usecase-banner (1)](https://www.xenonstack.com/hs-fs/hubfs/usecase-banner%20(1).webp?width=1921&height=622&name=usecase-banner%20(1).webp) [Big Data Engineering](https://www.xenonstack.com/blog/tag/big-data-engineering) # XenonStack BlogRust for Big Data and Parallel Processing Applications [Chandan Gaur](https://www.xenonstack.com/blog/author/chandan-gaur) | Published 27 January 2022 | Updated 04 October 2024 ## Key takeaway - Rust in Big Data and Parallel Processing Applications is essential for Building Software, Rust is out performing Java. Learn why it is preferred. ## Introduction A lot has changed since the 2000s, from Java being synonymous with big data, the latest advancements in CPU, Networking, etc., have given rise to a new wave of modern language go and rust. In this blog, we take a closer look at rust and the promise it holds to support the big data era and parallel processing applications.  ## Why Rust for Big data and Parallel Processing Applications? Big Data is a high field growing swiftly, obviously because of its wide range of use cases and results of such precision, which results in its high efficiency, and because of all this, its demand in other fields too, like in IoT, AI, and [Data analytics](https://www.ibm.com/topics/big-data-analytics). There are a lot of products and projects that have been built using existing tools and architecture and are very stable. However, that does not mean that we have figured out everything about it; it does not mean that we do not have any scope for improvement in this field. > Big Data is all about large and complex data sets, which can be both structured and unstructured. Click to explore about, [What is Big Data: Characteristics, Challenges, Tools & Use Cases](https://www.xenonstack.com/insights/what-is-big-data) ### Challenges with existence system Most of the tools that are highly accepted and adopted in Big Data are JVM based. And JVM has its limitations - - JVM abstracts the hardware from the developer. As a result, JVM can rarely achieve near-native speed. - A garbage collector is a part of JVM, which helps developers to focus more on main business logic and less on memory management. Garbage collector with its default configurations works fine but becomes disruptive when it gets tweaked a little according to new requirements. Some of the tools have developed a by-pass option for this inefficiency. For example, Apache Flink has developed its off-heap Memory Management. Also, Apache Spark has similar Off-Heap Memory Management using Project Tungsten. - JVM has a huge memory footprint. Due to that, Java is hard to scale down. And Linkerd has moved from [Scala](https://www.scala-lang.org/) + [Finagle](https://twitter.github.io/finagle/) + [Netty stack](https://netty.io/) to Rust. - Java requires Serialization and De-serialization to send the data from one process to another processing unit, which is a bit slow and also prone to security vulnerabilities. - Shared memory concurrency is hard to program in Java and is more prone to a data race condition. ## Ongoing Projects in Big Data and Parallel Processing that use Rust ### Apache Spark Apache Spark is one of the most popular and widely used tools in Big Data. Which is a JVM based tool. So it has all the pros and cons of JVM. On which, Andy Grove, in his blog Rust is for Big Data, defined how he had an experience in this field, and he found some things that could be the source of more efficiency. He had his daily job of building distributed data processing jobs with Apache Spark. Also, he shared some areas where some brilliant engineering has gone into Spark to handle some of the efficiency issues and how they made [Apache Spark](https://spark.apache.org/) (a JVM based tool) make less use of JVM. Moreover, according to him, if Apache Spark would have been built in a language like Rust, then it would be more efficient. So he started an open-source project back later named \`[Data Fusion](https://cloud.google.com/data-fusion)\`, and after some time, that project gets accepted by the Apache community itself. ### DataFusion So now, DataFusion is an in-memory query engine that uses Apache Arrow as the memory model. It supports executing SQL queries against CSV and [Parquet](https://parquet.apache.org/) files as well as querying directly against in-memory data, and is being developed by a whole lot of Apache community and Rust community. ### Weld There is also a paper-based blog which describes the project Weld, which is a Rust based system that generates code for the data analysis workflow, which runs efficiently in parallel using the [LLVM compiler](https://llvm.org/) framework. According to the researchers from MIT CSAIL, the pipeline spends more time moving data back and forth between pieces than actually doing work on it. So, Weld creates a runtime that each library can plug into, providing a standard method to run critical data across the pipeline that needs parallelization and optimization. They describe the Weld as a common runtime for data analytics that takes the disjointed pieces of a modern data processing stack and optimizes them in concert. So, as numerous projects are running on these systems, they do not ask developers to change their usage, rather they expect the framework maintainers and builders to work using Weld. They have also explained that there was a great deal of trade-off in speed and safety, which was solved by using Rust as the programming language. Python has been the second option as a programming language for the freshers that are trying to enter the field of Data Science and ML and is almost to be the first option because it is easy to learn and hugely dynamic. ### Python Yet, a subset of the community believes that Python can get faster and achieve more effective if the interpreter for the Python language could be written in Rust. So, there is also an open-source project that is being developed, \`[RustPython](https://rustpython.github.io/demo/)\`. For now, it depends on Python, but the goal of two things. One, A Python-3 interpreter completely written in Rust without any bindings and second, an interpreter free from any compatibility hacks. With this, developers could learn Python with the same ease, and get the benefit from security features that Rust has to offer. > Big Data Governance helps in understanding the data and shows the data lineage.. Click to explore about, [Big Data key features and use cases](https://www.xenonstack.com/blog/big-data-platform) ## Why we need Rust for Big Data and Parallel Processing? Rust is still in young age, despite that, it has a lot to offer because of its being a low-level language, that interacts with the CPU directly and has a great defense system against some bugs and all errors, a high efficiency in threading (which crustaceans named it as \`Fearless Concurrency\`), some great unique concepts of 'Ownership' and 'Lifetimes,' which allows programmers to define each detail at their own without repeating themselves. So, because of all this, it does not require any garbage collection, so it does not have any. It is built and proven to be highly efficient in memory management, thread management, and fast in performance. It can easily integrate with other languages and have a lot to come in the future. --- There is a lot of work going on in almost every field. Rust is a bit hard to learn because of its unique concepts and a different approach to OOPS then most of the languages as Rust follows the 'trait-based' approach to OOPS, according to which structures are not bound with behaviors, behaviors are bind with traits which structures can follow for or can make their trait. This is the new level of abstraction that has provided a lot to learn in the field of programming. Rust is not perfect, and there are some downsides too. Primarily is because of its security feature. Rust takes security in memory and thread management very seriously, because of which if your code has a possibility of any security leak, it will not allow you to compile the code to binary. Rust will not resolve the security issues for us, but it will not let us build the binary until we can guarantee that there is nothing wrong that can happen. In the latest releases, Rust has also added a \`nightly\` compiler, which will build the binary if it has security leaks too, only if we have added a line in our code, where we allow code to be unsafe. However, the community defines it as a feature of the Rust language and one of the motives behind developing it, so they said that it would not be removed from Rust. Instead, the programmer needs to be more careful about the program the are writing. > Big Data Architecture helps design the Data Pipeline with the various requirements of either the Batch Processing System or Stream Processing System. Click to explore about, [Big Data Architecture](https://www.xenonstack.com/blog/big-data-architecture) ## What are Rust Frameworks? There exist a lot of tools that provide the best solution to well-known problems or use cases, such as \`serde\` is a crate for Rust that helps, serialization and de-serialization of the Rust structures, and \`rayon\` which could help the developer to program parallel computations, perform sequential calculations with the API. It will handle the parallel computation of the action, with a guarantee to provide a data-race free solution. There also exist several crates that are in progress, still can be used in simple solution building. For example, [Actix-Web](https://actix.rs/), which is a web framework for Rust, Tokio, which is an event-driven, non-blocking I/O platform for writing asynchronous applications in Rust. The work in a field like big data is still in progress, but there are some crates the can be used like \`JSON data\` that can perform CRUD operations, selecting and sorting, and other services on json data directly. And \`Diesel\` - A safe, extensible ORM and Query Builder for Rust. ## What are Big Data Tools in Rust? There are many modern Data tools already built in Rust - let us have a look at some of the most famous ones: - [Arrow](https://github.com/apache/arrow-rs): Apache Arrow is a development platform for in-memory analytics. - [Polars](https://github.com/pola-rs/polars): Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Format as a memory model. - [Meilisearch](https://github.com/meilisearch/MeiliSearch): Meilisearch is a fast and hyper-relevant search engine. It offers a RESTful search API. - [Data fusion](https://github.com/apache/datafusion): DataFusion is an extensible query execution framework written in Rust that uses Apache Arrow as its in-memory format. Data fusion creates modern, fast, efficient data pipelines, ETL processes, and database systems. ## A Comprehensive Approach To lean more about Building reliable and efficient software with fast Performance, enhanced Productivity we advise taking the subsequent steps - - Learn more about [Distributed Data Processing with Apache Flink](https://www.xenonstack.com/blog/data-processing-apache-flink) - Get an Insight about [Stream Processing with Apache Kafka](https://www.xenonstack.com/blog/stream-processing/) - Looking for [Rust Development Solutions?](https://www.xenonstack.com/enterprise/rust-development/) ## Share Article - [![XenonStack Facebook](https://www.xenonstack.com/hubfs/xenonstack-facebook-service.svg)](http://www.facebook.com/share.php?u=https://www.xenonstack.com/blog/rust-big-data-applications) - [![XenonStack Twitter](https://www.xenonstack.com/hubfs/xs-twitter-white-updated-icon.svg)](https://twitter.com/intent/tweet?text=I+found+this+interesting+blog+post&url=https://www.xenonstack.com/blog/rust-big-data-applications) - [![XenonStack Linked In](https://www.xenonstack.com/hubfs/xenonstack-linkedin-service.svg)](http://www.linkedin.com/shareArticle?mini=true&url=https://www.xenonstack.com/blog/rust-big-data-applications) - [![XenonStack Email Icon](https://www.xenonstack.com/hubfs/xenonstack-email-service.svg)](mailto:?subject=Check%20out%20https://www.xenonstack.com/blog/rust-big-data-applications%20&body=Check%20out%20https://www.xenonstack.com/blog/rust-big-data-applications) ## Table of Contents ## Share Article - [![XenonStack Facebook](https://www.xenonstack.com/hubfs/xenonstack-facebook-service.svg)](http://www.facebook.com/share.php?u=https://www.xenonstack.com/blog/rust-big-data-applications) - [![XenonStack Twitter](https://www.xenonstack.com/hubfs/xs-twitter-white-updated-icon.svg)](https://twitter.com/intent/tweet?text=I+found+this+interesting+blog+post&url=https://www.xenonstack.com/blog/rust-big-data-applications) - [![XenonStack Linked In](https://www.xenonstack.com/hubfs/xenonstack-linkedin-service.svg)](http://www.linkedin.com/shareArticle?mini=true&url=https://www.xenonstack.com/blog/rust-big-data-applications) - [![XenonStack Email Icon](https://www.xenonstack.com/hubfs/xenonstack-email-service.svg)](mailto:?subject=Check%20out%20https://www.xenonstack.com/blog/rust-big-data-applications%20&body=Check%20out%20https://www.xenonstack.com/blog/rust-big-data-applications) ## Explore Related Topics [Decision Intelligence](https://www.xenonstack.com/blog/tag/decision-intelligence) [Cloud Native Applications](https://www.xenonstack.com/blog/tag/cloud-native-applications) [Generative AI](https://www.xenonstack.com/blog/tag/generative-ai) [Big Data Engineering](https://www.xenonstack.com/blog/tag/big-data-engineering) [FinOps](https://www.xenonstack.com/blog/tag/finops) [Data Foundry](https://www.xenonstack.com/blog/tag/data-foundry) [XAI](https://www.xenonstack.com/blog/tag/xai) [Autonomous Agents](https://www.xenonstack.com/blog/tag/autonomous-agents) [MetaSecure AI](https://www.xenonstack.com/blog/tag/metasecure-ai) ![Subscribe background](https://www.xenonstack.com/hubfs/blog-post-subscribe.svg) ## Subscribe to our Latest Technology Insights and Resources Subscribe Now ![slider-cross-icon](https://www.xenonstack.com/hubfs/slider-cross-icon.svg) ## Get the latest articles in your inbox Business Email ID \* Please enter a valid Business Email ID Company Name \* Please enter a valid Company Name Yes, I would like to receive the XenonStack newsletter as well as marketing emails regarding XenonStack products, services, and events. 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Evidence collection becomes automatic and audit-ready - ![Controls Icon](https://www.xenonstack.com/hubfs/controls.svg)Continuous control checks across infrastructure and SaaS - ![Audit Icon](https://www.xenonstack.com/hubfs/audit.svg)Automated evidence collection for audits - ![Risk Icon](https://www.xenonstack.com/hubfs/risk.svg)Risk scoring and prioritized remediation recommendations [Explore Agent GRC](https://agentgrc.ai/) ![monitoring-risk-and-compliance](https://www.xenonstack.com/hubfs/enhanced-security-measures.svg) ✕ ## Agentic Finance and Procurement Intelligent Agents Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter - ![Visibility Icon](https://www.xenonstack.com/hubfs/visibility.svg)Real-time visibility into spend and commitments - ![Anomaly Icon](https://www.xenonstack.com/hubfs/anomaly.svg)Anomaly detection on invoices and vendor performance - ![Workflow Icon](https://www.xenonstack.com/hubfs/workflow.svg)Intelligent workflows for approvals and sourcing decisions [Optimize Finance & Procurement](https://www.xenonify.ai/) ![agentic-finance-and-procurement](https://www.xenonstack.com/hubfs/responsible-ai-aviators-banner-illustration.svg) ```json { "@context" : "https://schema.org", "@id" : "https://www.xenonstack.com/blog/rust-big-data-applications#article", "@type" : "Article", "author" : { "@id" : "https://www.xenonstack.com/blog/author/chandan-gaur#person" }, "dateModified" : "2024-10-04T12:06:45Z", "datePublished" : "2022-01-27T18:30:00Z", "description" : "Rust in Big Data and Parallel Processing Applications is essential for Building Software, Rust is out performing Java. 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