--- title: "Kafka vs. Pulsar : Pick the Right one for your Business" description: Kafka vs. Pulsar - Understand the difference and Pick the right one for your business Growth in Productivity and Functioning. image: https://www.xenonstack.com/hubfs/kafka-vs-pulsar.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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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 - IT Operations AI-powered IT operations ensuring reliability, scalability, and cost efficiency](https://www.xenonstack.com/industries/enterprise-technology/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/xs-scale-clients-and-partners.svg) Consumer – Experience – Tech Personalized digital experiences driven by explainable and trusted AI](https://www.xenonstack.com/industries/consumer-technology/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-platform-engineering.svg) Retail and Supply Chain Autonomous retail analytics enhancing operations, engagement, and forecasting accuracy](https://www.xenonstack.com/industries/retail/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-healthcare.svg) Travel – Hospitality – Guest Experience Agentic systems delivering personalized guest journeys with contextual intelligence](https://www.xenonstack.com/industries/travel-hospitality/) - Resources Resources Explore insights, success stories, and learning programs that build knowledge and strengthen the AI transformation journey [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/xs-scale-xenonstack-university.svg) Blogs Stay updated with the latest industry trends, news, and thought leadership](https://www.xenonstack.com/blog) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/insights.svg) Insights Explore in-depth AI articles, use cases, and innovative applications](https://www.xenonstack.com/insights) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/use-case.svg) Use Cases Discover real-world applications of Agentic AI across industries](https://www.xenonstack.com/use-cases) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/scale-cloud-native-applications.svg) Case Studies Learn how organizations are achieving success with our solutions](https://xenonstack.com/case-studies) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/video.svg) Video Library Explore our collection of product demos, webinars, and AI thought leadership videos](https://www.xenonstack.com/videos/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ebook.svg) E-Books Download comprehensive e-books on AI, SRE, and more](https://www.xenonstack.com/e-book) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/presentation.svg) Presentations View our AI presentations, talks, and conference sessions on AI innovation](https://www.xenonstack.com/presentations/) - 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Explore career opportunities to work at the forefront of innovation](https://www.xenonstack.com/careers/) - Book Strategy Call [![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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Book Strategy Call ![slider-cross-icon](https://www.xenonstack.com/hubfs/slider-cross-icon.svg) ## Interested in Solving your Challenges with XenonStack Team ## Get Started Get Started with your requirements and primary focus, that will help us to make your solution First Name \* Please enter a valid First Name Last Name \* Please enter a valid Last Name Business Email ID \* Please enter a valid Business Email ID Contact Number \* Please enter a valid Contact Number Company \* Please enter a valid Company Name Industry Belongs To \* Please Select your Industry Banking Fintech Payment Providers Wealth Management Discrete Manufacturing Semiconductor Machinery Manufacturing / Automation Appliances / Electrical / Electronics Elevator Manufacturing Defense & Space Manufacturing Computers & Electronics / Industrial Machinery Motor Vehicle Manufacturing Food and Beverages Distillery & Wines Beverages Shipping Logistics Mobility (EV / Public Transport) Energy & Utilities Hospitality Digital Gaming Platforms SportsTech with AI Public Safety - 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Our XenonStack Team will shortly reach out to you. We are looking forward to showcase how XenonStack can transform your business. ![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) # Kafka vs. Pulsar : Pick the Right one for your Business [Chandan Gaur](https://www.xenonstack.com/blog/author/chandan-gaur) | 14 August 2024 ## Kafka vs. Pulsar In this ever-changing era evolving businesses' access to data unlocks pathways for many opportunities, innovative categories and gives an edge over their competitors. As a result, enterprises are leveraging their data to get insights for gaining such advantages. New technologies play a vital role in their success for creating such opportunities.  Thus, via this, we are trying to compare two such similar yet different technologies by understanding the core architecture performance comparisons and different use cases. ## Understanding Kafka On Architectural Level [Apache Kafka](https://kafka.apache.org/) acts as a messenger sending messages from one application to another. Messages sent by the producer(sender) are grouped into a topic that is subscribed by the consumer(subscriber) as a stream of data**.** Messages are further divided into small partitions called topics. According to the offset, the producer sends data to a particular topic and is read by the consumer in an ordered way. A Kafka cluster is called a broker. There are multiple replications for a broker for fault tolerance and maintenance in case the broker fails [zookeeper](https://zookeeper.apache.org/) currently elects the next broker. ## Understanding Pulsar On Architectural Level [Apache Pulsar](https://pulsar.apache.org/) decouples its message delivery and storage layer with its multilayered architecture, making them scale parallelly. Pulsar's take on its architecture has gained attention from a number of cloud solutions. Pulsar has a tier of stateless broker instances connecting to separate bookie nodes of bookkeeper instances that manage read, write, store, and replicate procedures. This decoupling enables each layer to scale at large and leverage elastic environments' auto-scaling ability to adapt dynamically to incoming traffic spikes.  Pulsar instances have one or more pulsar clusters allowing them to replicate data within the cluster. A pulsar cluster consists of brokers, bookkeepers, and zookeepers. A pulsar broker is a stateless component responsible for administrative tasks and topic lookups. It also includes a dispatcher that transfers data asynchronously with a TCP server over a custom binary protocol. Bookies/bookkeepers are used for persistent storage. Apache bookkeeper is distributed WAL(write-ahead log) that is used for persistent storage. It plays a crucial role in [pulsar architecture](https://pulsar.apache.org/docs/en/concepts-architecture-overview/) by enabling it to use multiple independent ledgers, storage for sequential data to handle entry replication, and guaranteed ledger read consistency. Bookie design handles multiple of ledgers with concurrent reads and writes. Using multi-disk devices for journal and storage, bookies can decouple reading operations' effects from the latency of progressing write operations. BookKeeper contains a journal file that is used to maintain transaction files. A new journal is created once a bookie starts or an old file exceeds the threshold. ## Comparing Apache Kafka to Pulsar ### Architectural Comparison Apache Kafka and Pulsar have almost a similar concept for messaging systems. The user interacts with the system through topics that are split up into small equal-sized groups known as partitions. These partitions distribute data across nodes to be consumed by multiple consumers, parallelly allowing to scale up the consumptions.  The rudimentary difference between Pulsar and Kafka is the Architectural approach followed by them. KAFKA follows a partition-centric design with a monolithic architecture. Pulsar follows a multi-layered architecture design with a segment-centric approach.  In Kafka, the partitions are directly stored to the leader node, and then for fault tolerance, the data is replicated to the replica node. This design has drawbacks since the partition needs to be stored on a local disk, so the partition's max size will be that of the disk. Secondly, since data needs to be replicated on replica nodes, the replica node's size will be that of the minimum storage present in the disk. So once the max storage capacity is filled, the incoming message will halt until space has been made, leading to data loss. Once you have identified this issue, you are left with the option of deleting the message, and you may delete the messages that have not been consumed yet. Or you have to rebalance by recopying the data that is not an optimum solution as your entire partition is offline, and recopying is also not very fault-tolerant.  With a segment-centric approach followed by Pulsar, partitions are subdivided into segments rolled over on defined time or size and evenly distributed across bookies. This helps with redundancy and scaling. In this case, when your memory is maxed out because of segmentation, there is no need to replicate content. You need to add a new bookie. Until then, pulsar would keep writing the message segments to bookies with remaining spaces, and once bookie has added, all load shifts toward the new bookie node.   ### Kafka (KIP-500) - Kafka without Zookeeper Currently, Kafka uses a zookeeper to store its metadata, but it is proposed to remove it from the current architecture, that will greatly benefit processing it. We can consider it as Kafka on Kafka. The metadata will be stored inside Kafka, hence reducing the need to manage external systems thus reducing the complexity of the overall architecture. There is no need to wait for a new broker to be elected as a standby controller can be selected and already have a state. This will also reduce the cost of topic creation and deletion from O(n) to O(1), thus increasing the write throughput. ### General Comparison | License | Apache V2 | Apache V2 | | --- | --- | --- | | Component | Kafka + Zookeeper | Pulsar + BookKeeper + Zookeeper + [RocksDB](https://rocksdb.org/) | | Message Consumption Model | PULL | PUSH | | Storage Architecture | LOG | INDEX | ### Throughput and Latency Comparison from Vendors/Contributors | Features | KAFKA | PULSAR | | --- | --- | --- | | Throughput Comparison (peaks) | 605 MB/s | 305 MB/s | | Latency | 5 ms (200 MB/s loads) | 25 ms (200 MB/s loads) | ### Level Wise Comparison | Level | Replication | Local | Operation | | --- | --- | --- | --- | | 1 | Sync | Sync | The system returns a write response to the client ONLY AFTER the data has been replicated to multiple (at least the majority of) locations AND each replica has been successfully fsync-ed to local disks. | | 2 | Sync | Async | The system returns a write response to the client ONLY AFTER the data has been replicated to multiple (at least the majority of) locations. There is no guarantee that each replica has successfully sync-ed to local disks. | ### Durability Level and Partitions Comparison | | Durability Levels | Partitions | Pulsar | Kafka | | --- | --- | --- | --- | --- | | Peak Publish + Tailing Reads Throughput (MB/s) | Level-1 Durability | 1 | 300 MB/s | 160 MB/s | | 100 | 300 MB/s | 420 MB/s | | | | 2000 | 300 MB/s | 300 MB/s | | | | Level-2 Durability | 1 | 300 MB/s | 180 MB/s | | | 100 | 605 MB/s | 605 MB/s | | | | 2000 | 605 MB/s | 300 MB/s | | | | Peak Catch-up Reads Throughput (MB/s) | Level-1 Durability | 100 | 1.7 GB/s | 1 GB/s | | Level-2 Durability | 100 | 3.5 GB/s | 1 GB/s | | ### Subscription, local, and Replication Durability Comparison | | Partitions & Subscriptions | Local Durability | Replication Durability | Pulsar | Kafka | | --- | --- | --- | --- | --- | --- | | End-to-End P99 Latency (ms) (Publish + Tailing Reads) | 100 Partitions, 1 Subscription | Sync | Ack-1 | 5.86 | 18.75 | | Ack-2 | 11.64 | 64.62 | | | | | Async | Ack-1 | 5.33 | 6.94 | | | | Ack-2 | 5.55 | 10.43 | | | | | 100 Partitions, 10 Subscriptions | Sync | Ack-1 | 7.12 | 145.10 | | | Ack-2 | 14.65 | 1599.79 | | | | | Async | Ack-1 | 6.84 | 89.80 | | | | Ack-2 | 6.94 | 1295.78 | | | | ## Apache Kafka and Pulsar Pros and Cons? ### Pulsar - Pros 1. Apache Pulsar is rich in features such as multitenancy, Multi-DC replications, etc. 2. It consists of a more flexible client API. 3. Client components(java) are thread-safe and can be acknowledged by consumers from different threads. 4. Can scale elastically ### Pulsar - Cons 1. Java clients are not very well documented. 2. It is still established, so have low community strength. 3. Message-Id concept tied to BookKeeper - consumers may not be able to read data sequentially. 4. To read the last messages on the topic, readers need to skim through messages till the end. 5. No transactions. 6. With the increase in tech stack, they have higher complexity. ### Kafka - Pros 1. Very well documented. 2. Kafka has matured over the years, and so has a larger community. 3. Lesser tech components hence less complexity, are easier to deploy. 4. Transactions - atomic reads writes within the topics. 5. Offsets form a continuous sequence - the consumer can quickly seek to last message. ### Kafka - Cons 1. The consumer cannot acknowledge the message from a different thread. 2. Does no provide with multi-tenancy model? 3. Robust Multi-DC replication is offered in Confluent Enterprise only. 4. It is not assembled to scale elastically. > Click here for a [Quick Insight to Data Storytelling for Business Impact](https://www.xenonstack.com/blog/data-storytelling) ## Apache Kafka and Pulsar Use-Cases Pulsar Use Cases - Pulsar is an ambidextrous stream with application messaging (traditional queuing systems) and data pipelines. Traditional queuing systems are used to enable asynchronous communications. In contrast, data pipelines are used for transferring high-volume data Core technology of pulsar makes it possible to deploy both, thus providing an ideal platform with unified messaging capabilities. Hence an organization, instead of managing different systems, can manage it in one. - Pulsar can be used to process heavy and large volumes of data in both batch and stream processing ways. An organization that seeks to run both on its dataset can tackle the challenge of maintaining multiple systems that can reduce cost. - With pulsar, it is easy to implement complex microservice techniques like event sourcing where application broadcast produced streams of the event into the shared messaging system, which keeps history in a centralized log, thus improving data flow and pp synchronization, while Kafka can store streams of events for days event sourcing requires larger retention this is where pulsar handles this very well. ### Kafka Use Cases - Kafka is one of the best open-source streaming applications that can be used to provide near real-time solutions, and with ksql one can also give preprocessed data in near real-time, thus reducing the overall latency. - Kafka is very suitable for activity-tracking applications that many consumers can use. Conclusion By this, we can conclude both Apache Kafka and Pulsar are powerful stream processing platforms that have evolved and provided us with various services. Each has different abilities, and architecture is suitable for different cases. 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Your infrastructure evolves into a self-healing environment - ![Diagnostics Icon](https://www.xenonstack.com/hubfs/diagnostic.svg)Automated diagnostics for recurring errors - ![Playbook Icon](https://www.xenonstack.com/hubfs/playbook.svg)Playbook execution: restart services, scale pods, clear queues - ![Feedback Icon](https://www.xenonstack.com/hubfs/feedback.svg)Feedback loop for improving remediation strategies [See in Action](https://agentanalyst.ai/) ![intelligent-diagnostic](https://www.xenonstack.com/hubfs/dataops-reimagined-banner-image.svg) ✕ ## Agentic GRC - Monitoring Risk and Compliance Controls AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. 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", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "Chandan Gaur", "url" : "https://www.xenonstack.com/blog/author/chandan-gaur" }, "dateModified" : "2024-08-14T06:06:49.186Z", "datePublished" : "2022-12-22T04:32:49.000Z", "headline" : "Kafka vs. Pulsar : Pick the Right one for your Business", "image" : [ "https://www.xenonstack.com/hubfs/kafka-vs-pulsar.png" ], "mainEntityOfPage" : { "@id" : "https://www.xenonstack.com/blog/kafka-vs-pulsar", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://www.xenonstack.com/hubfs/Xenonstack-Serives%20-3-2-2021-10.png" }, "name" : "Xenonstack Inc" } } ``` ```json { "@context" : "http://schema.org", "@type" : "Organization", "address" : { "@type" : "PostalAddress", "addressCountry" : "USA", "addressLocality" : "Plano", "addressRegion" : "Texas", "postalCode" : "75024", "streetAddress" : "7700 Windrose Ave. " }, "description" : "XenonStack is the #1 Data and AI foundry and technology services company to simplify and scale Enterprise and Generative AI Journeys.", "email" : "business@xenonstack.com", "logo" : "https://f.hubspotusercontent30.net/hubfs/8161231/Xenonstack-Serives%20-3-2-2021-10.png", "mainEntityOfPage" : { "@id" : "https://www.xenonstack.com/blog/kafka-vs-pulsar", "@type" : "WebPage", "description" : "Kafka vs. Pulsar - Understand the difference and Pick the right one for your business Growth in Productivity and Functioning." }, "name" : "XenonStack", "sameAs" : [ "https://www.facebook.com/XenonStack", "https://www.linkedin.com/company/xenonstack/", "https://www.youtube.com/c/XenonStackOfficial", "https://twitter.com/xenonstack" ], "telephone" : "", "url" : "https://www.xenonstack.com/" } ``` ```json { "@context" : "http://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "Chandan Gaur" }, "dateModified" : "August 14, 2024, 6:06:49 AM", "datePublished" : "2022-12-22 04:32:49", "description" : "Kafka vs. Pulsar - Understand the difference and Pick the right one for your business Growth in Productivity and Functioning.", "headline" : "Kafka vs. Pulsar : Pick the Right one for your Business", "image" : { "@type" : "ImageObject", "url" : "https://www.xenonstack.com/hubfs/kafka-vs-pulsar.png" }, "mainEntityOfPage" : { "@id" : "https://www.xenonstack.com/blog/kafka-vs-pulsar", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://f.hubspotusercontent30.net/hubfs/8161231/Xenonstack-Serives%20-3-2-2021-10.png" }, "name" : "XenonStack" } } ```