# Top 10 Lenses Alternatives & Competitors
**Average Rating:** 4.2/5
**Total Number of Reviews:** 17
Explore the best alternatives to Lenses for users who need new software features or want to try different solutions. Stream Analytics Software is a widely used technology, and many people are seeking sophisticated, easy to use software solutions with data transformation, data modeling, and customization . Other important factors to consider when researching alternatives to Lenses include security and integration. The best overall Lenses alternative is Confluent. Other similar apps like Lenses are Datadog, New Relic, HubSpot Data Hub, and Dynatrace. Lenses alternatives can be found in [Stream Analytics Software](https://www.g2.com/categories/stream-analytics) but may also be in [Application Performance Monitoring (APM) Tools](https://www.g2.com/categories/application-performance-monitoring-apm) or [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse).


## Best Paid & Free Alternatives to Lenses
  - [Confluent](https://www.g2.com/products/confluent/reviews)
  - [Datadog](https://www.g2.com/products/datadog/reviews)
  - [New Relic](https://www.g2.com/products/new-relic/reviews)
  - [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)
  - [Dynatrace](https://www.g2.com/products/dynatrace/reviews)
  - [Egnyte](https://www.g2.com/products/egnyte/reviews)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)

## Top 10 Alternatives to Lenses Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how Lenses stacks up to the competition, check reviews from current & previous users in industries like Human Resources, Financial Services, and Maritime, and find the best product for your business.


  ### 1. [Confluent](https://www.g2.com/products/confluent/reviews)
By IBM
**Average Rating:** 4.4/5
**Total Reviews:** 114
A stream data platform.


Reviewers say compared to Lenses, Confluent is:
- Slower to reach roi
- More expensive
- Better at support
Categories in common with Lenses: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing), [Stream Analytics](https://www.g2.com/categories/stream-analytics), [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)

**Compare:** [Lenses vs Confluent](https://www.g2.com/compare/confluent-vs-lenses)
**Compare Confluent with other alternatives:**
- [Confluent vs Datadog](https://www.g2.com/compare/confluent-vs-datadog)
- [Confluent vs New Relic](https://www.g2.com/compare/confluent-vs-new-relic)
- [Confluent vs HubSpot Data Hub](https://www.g2.com/compare/confluent-vs-hubspot-data-hub)
- [Confluent vs Dynatrace](https://www.g2.com/compare/confluent-vs-dynatrace)
- [Confluent vs Egnyte](https://www.g2.com/compare/confluent-vs-egnyte)
- [Confluent vs Google Cloud BigQuery](https://www.g2.com/compare/confluent-vs-google-cloud-bigquery)
- [Confluent vs Snowflake](https://www.g2.com/compare/confluent-vs-snowflake)
- [Confluent vs Spotfire Analytics](https://www.g2.com/compare/confluent-vs-spotfire-analytics)
- [Confluent vs Microsoft SQL Server](https://www.g2.com/compare/confluent-vs-microsoft-sql-server)

  ### 2. [Datadog](https://www.g2.com/products/datadog/reviews)
By Datadog
**Average Rating:** 4.4/5
**Total Reviews:** 723
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.


Reviewers say compared to Lenses, Datadog is:
- Slower to reach roi
- Better at support
- More expensive
Categories in common with Lenses: [AIOps Platforms](https://www.g2.com/categories/aiops-platforms)

**Compare:** [Lenses vs Datadog](https://www.g2.com/compare/datadog-vs-lenses)
**Compare Datadog with other alternatives:**
- [Datadog vs Confluent](https://www.g2.com/compare/confluent-vs-datadog)
- [Datadog vs New Relic](https://www.g2.com/compare/datadog-vs-new-relic)
- [Datadog vs HubSpot Data Hub](https://www.g2.com/compare/datadog-vs-hubspot-data-hub)
- [Datadog vs Dynatrace](https://www.g2.com/compare/datadog-vs-dynatrace)
- [Datadog vs Egnyte](https://www.g2.com/compare/datadog-vs-egnyte)
- [Datadog vs Google Cloud BigQuery](https://www.g2.com/compare/datadog-vs-google-cloud-bigquery)
- [Datadog vs Snowflake](https://www.g2.com/compare/datadog-vs-snowflake)
- [Datadog vs Spotfire Analytics](https://www.g2.com/compare/datadog-vs-spotfire-analytics)
- [Datadog vs Microsoft SQL Server](https://www.g2.com/compare/datadog-vs-microsoft-sql-server)

  ### 3. [New Relic](https://www.g2.com/products/new-relic/reviews)
By New Relic
**Average Rating:** 4.4/5
**Total Reviews:** 584
New Relic is the industry's largest and most comprehensive cloud-based instrumentation platform to help customers create more perfect software.


Reviewers say compared to Lenses, New Relic is:
- Slower to reach roi
- Better at support
- Easier to set up
Categories in common with Lenses: [AIOps Platforms](https://www.g2.com/categories/aiops-platforms)

**Compare:** [Lenses vs New Relic](https://www.g2.com/compare/lenses-vs-new-relic)
**Compare New Relic with other alternatives:**
- [New Relic vs Confluent](https://www.g2.com/compare/confluent-vs-new-relic)
- [New Relic vs Datadog](https://www.g2.com/compare/datadog-vs-new-relic)
- [New Relic vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-new-relic)
- [New Relic vs Dynatrace](https://www.g2.com/compare/dynatrace-vs-new-relic)
- [New Relic vs Egnyte](https://www.g2.com/compare/egnyte-vs-new-relic)
- [New Relic vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-new-relic)
- [New Relic vs Snowflake](https://www.g2.com/compare/new-relic-vs-snowflake)
- [New Relic vs Spotfire Analytics](https://www.g2.com/compare/new-relic-vs-spotfire-analytics)
- [New Relic vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-new-relic)

  ### 4. [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)
By HubSpot
**Average Rating:** 4.5/5
**Total Reviews:** 576
HubSpot Operations Hub allows you to keep all your contacts in 2-Way, Real Time Sync no matter if you use (Gmail/Outlook, Salesforce, Pipedrive, Constant Contact, Prosperworks, HubSpot, MailChimp or ActiveCampaign to name a few).


Reviewers say compared to Lenses, HubSpot Data Hub is:
- Better at support
- Easier to set up
- Easier to do business with
Categories in common with Lenses: [Stream Analytics](https://www.g2.com/categories/stream-analytics), [ETL Tools](https://www.g2.com/categories/etl-tools)

**Compare:** [Lenses vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-lenses)
**Compare HubSpot Data Hub with other alternatives:**
- [HubSpot Data Hub vs Confluent](https://www.g2.com/compare/confluent-vs-hubspot-data-hub)
- [HubSpot Data Hub vs Datadog](https://www.g2.com/compare/datadog-vs-hubspot-data-hub)
- [HubSpot Data Hub vs New Relic](https://www.g2.com/compare/hubspot-data-hub-vs-new-relic)
- [HubSpot Data Hub vs Dynatrace](https://www.g2.com/compare/dynatrace-vs-hubspot-data-hub)
- [HubSpot Data Hub vs Egnyte](https://www.g2.com/compare/egnyte-vs-hubspot-data-hub)
- [HubSpot Data Hub vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-hubspot-data-hub)
- [HubSpot Data Hub vs Snowflake](https://www.g2.com/compare/hubspot-data-hub-vs-snowflake)
- [HubSpot Data Hub vs Spotfire Analytics](https://www.g2.com/compare/hubspot-data-hub-vs-spotfire-analytics)
- [HubSpot Data Hub vs Microsoft SQL Server](https://www.g2.com/compare/hubspot-data-hub-vs-microsoft-sql-server)

  ### 5. [Dynatrace](https://www.g2.com/products/dynatrace/reviews)
By Dynatrace
**Average Rating:** 4.5/5
**Total Reviews:** 1,363
Dynatrace has redefined how you monitor today’s digital ecosystems. AI-powered, full stack and completely automated, it’s the only solution that provides answers, not just data, based on deep insight into every user, every transaction, across every application. The world’s leading brands trust Dynatrace to optimize customer experiences, innovate faster and modernize IT operations with absolute confidence.


Reviewers say compared to Lenses, Dynatrace is:
- Slower to reach roi
- More expensive
- Better at support
Categories in common with Lenses: [AIOps Platforms](https://www.g2.com/categories/aiops-platforms)

**Compare:** [Lenses vs Dynatrace](https://www.g2.com/compare/dynatrace-vs-lenses)
**Compare Dynatrace with other alternatives:**
- [Dynatrace vs Confluent](https://www.g2.com/compare/confluent-vs-dynatrace)
- [Dynatrace vs Datadog](https://www.g2.com/compare/datadog-vs-dynatrace)
- [Dynatrace vs New Relic](https://www.g2.com/compare/dynatrace-vs-new-relic)
- [Dynatrace vs HubSpot Data Hub](https://www.g2.com/compare/dynatrace-vs-hubspot-data-hub)
- [Dynatrace vs Egnyte](https://www.g2.com/compare/dynatrace-vs-egnyte)
- [Dynatrace vs Google Cloud BigQuery](https://www.g2.com/compare/dynatrace-vs-google-cloud-bigquery)
- [Dynatrace vs Snowflake](https://www.g2.com/compare/dynatrace-vs-snowflake)
- [Dynatrace vs Spotfire Analytics](https://www.g2.com/compare/dynatrace-vs-spotfire-analytics)
- [Dynatrace vs Microsoft SQL Server](https://www.g2.com/compare/dynatrace-vs-microsoft-sql-server)

  ### 6. [Egnyte](https://www.g2.com/products/egnyte/reviews)
By Egnyte
**Average Rating:** 4.4/5
**Total Reviews:** 1,160
Egnyte delivers the only modern content platform that is purpose-built for businesses. Egnyte gives IT centralized control and protection over their files, and users fast access to their content, no matter how or where work happens.


Reviewers say compared to Lenses, Egnyte is:
- Slower to reach roi
- Better at support
- Easier to set up
Categories in common with Lenses: [Data Governance](https://www.g2.com/categories/data-governance-tools)

**Compare:** [Lenses vs Egnyte](https://www.g2.com/compare/egnyte-vs-lenses)
**Compare Egnyte with other alternatives:**
- [Egnyte vs Confluent](https://www.g2.com/compare/confluent-vs-egnyte)
- [Egnyte vs Datadog](https://www.g2.com/compare/datadog-vs-egnyte)
- [Egnyte vs New Relic](https://www.g2.com/compare/egnyte-vs-new-relic)
- [Egnyte vs HubSpot Data Hub](https://www.g2.com/compare/egnyte-vs-hubspot-data-hub)
- [Egnyte vs Dynatrace](https://www.g2.com/compare/dynatrace-vs-egnyte)
- [Egnyte vs Google Cloud BigQuery](https://www.g2.com/compare/egnyte-vs-google-cloud-bigquery)
- [Egnyte vs Snowflake](https://www.g2.com/compare/egnyte-vs-snowflake)
- [Egnyte vs Spotfire Analytics](https://www.g2.com/compare/egnyte-vs-spotfire-analytics)
- [Egnyte vs Microsoft SQL Server](https://www.g2.com/compare/egnyte-vs-microsoft-sql-server)

  ### 7. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
By Google
**Average Rating:** 4.5/5
**Total Reviews:** 1,224
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.


Reviewers say compared to Lenses, Google Cloud BigQuery is:
- Slower to reach roi
- Easier to set up
- Better at support
Categories in common with Lenses: [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms), [ETL Tools](https://www.g2.com/categories/etl-tools), [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)

**Compare:** [Lenses vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-lenses)
**Compare Google Cloud BigQuery with other alternatives:**
- [Google Cloud BigQuery vs Confluent](https://www.g2.com/compare/confluent-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Datadog](https://www.g2.com/compare/datadog-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs New Relic](https://www.g2.com/compare/google-cloud-bigquery-vs-new-relic)
- [Google Cloud BigQuery vs HubSpot Data Hub](https://www.g2.com/compare/google-cloud-bigquery-vs-hubspot-data-hub)
- [Google Cloud BigQuery vs Dynatrace](https://www.g2.com/compare/dynatrace-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Egnyte](https://www.g2.com/compare/egnyte-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Snowflake](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake)
- [Google Cloud BigQuery vs Spotfire Analytics](https://www.g2.com/compare/google-cloud-bigquery-vs-spotfire-analytics)
- [Google Cloud BigQuery vs Microsoft SQL Server](https://www.g2.com/compare/google-cloud-bigquery-vs-microsoft-sql-server)

  ### 8. [Snowflake](https://www.g2.com/products/snowflake/reviews)
By Snowflake, Inc.
**Average Rating:** 4.5/5
**Total Reviews:** 757
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.


Reviewers say compared to Lenses, Snowflake is:
- Slower to reach roi
- Easier to set up
- Better at support
Categories in common with Lenses: [Data Governance](https://www.g2.com/categories/data-governance-tools), [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms), [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)

**Compare:** [Lenses vs Snowflake](https://www.g2.com/compare/lenses-vs-snowflake)
**Compare Snowflake with other alternatives:**
- [Snowflake vs Confluent](https://www.g2.com/compare/confluent-vs-snowflake)
- [Snowflake vs Datadog](https://www.g2.com/compare/datadog-vs-snowflake)
- [Snowflake vs New Relic](https://www.g2.com/compare/new-relic-vs-snowflake)
- [Snowflake vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-snowflake)
- [Snowflake vs Dynatrace](https://www.g2.com/compare/dynatrace-vs-snowflake)
- [Snowflake vs Egnyte](https://www.g2.com/compare/egnyte-vs-snowflake)
- [Snowflake vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake)
- [Snowflake vs Spotfire Analytics](https://www.g2.com/compare/snowflake-vs-spotfire-analytics)
- [Snowflake vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-snowflake)

  ### 9. [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews)
By Spotfire
**Average Rating:** 4.2/5
**Total Reviews:** 362
Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.


Reviewers say compared to Lenses, Spotfire Analytics is:
- Slower to reach roi
- More expensive
- Better at support
Categories in common with Lenses: [Stream Analytics](https://www.g2.com/categories/stream-analytics)

**Compare:** [Lenses vs Spotfire Analytics](https://www.g2.com/compare/lenses-vs-spotfire-analytics)
**Compare Spotfire Analytics with other alternatives:**
- [Spotfire Analytics vs Confluent](https://www.g2.com/compare/confluent-vs-spotfire-analytics)
- [Spotfire Analytics vs Datadog](https://www.g2.com/compare/datadog-vs-spotfire-analytics)
- [Spotfire Analytics vs New Relic](https://www.g2.com/compare/new-relic-vs-spotfire-analytics)
- [Spotfire Analytics vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-spotfire-analytics)
- [Spotfire Analytics vs Dynatrace](https://www.g2.com/compare/dynatrace-vs-spotfire-analytics)
- [Spotfire Analytics vs Egnyte](https://www.g2.com/compare/egnyte-vs-spotfire-analytics)
- [Spotfire Analytics vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-spotfire-analytics)
- [Spotfire Analytics vs Snowflake](https://www.g2.com/compare/snowflake-vs-spotfire-analytics)
- [Spotfire Analytics vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-spotfire-analytics)

  ### 10. [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
By Microsoft
**Average Rating:** 4.4/5
**Total Reviews:** 2,284
SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.


Reviewers say compared to Lenses, Microsoft SQL Server is:
- Slower to reach roi
- More expensive
- Better at support
Categories in common with Lenses: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)

**Compare:** [Lenses vs Microsoft SQL Server](https://www.g2.com/compare/lenses-vs-microsoft-sql-server)
**Compare Microsoft SQL Server with other alternatives:**
- [Microsoft SQL Server vs Confluent](https://www.g2.com/compare/confluent-vs-microsoft-sql-server)
- [Microsoft SQL Server vs Datadog](https://www.g2.com/compare/datadog-vs-microsoft-sql-server)
- [Microsoft SQL Server vs New Relic](https://www.g2.com/compare/microsoft-sql-server-vs-new-relic)
- [Microsoft SQL Server vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-microsoft-sql-server)
- [Microsoft SQL Server vs Dynatrace](https://www.g2.com/compare/dynatrace-vs-microsoft-sql-server)
- [Microsoft SQL Server vs Egnyte](https://www.g2.com/compare/egnyte-vs-microsoft-sql-server)
- [Microsoft SQL Server vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-microsoft-sql-server)
- [Microsoft SQL Server vs Snowflake](https://www.g2.com/compare/microsoft-sql-server-vs-snowflake)
- [Microsoft SQL Server vs Spotfire Analytics](https://www.g2.com/compare/microsoft-sql-server-vs-spotfire-analytics)


---
## Lenses Alternatives FAQs

### What features do alternatives offer that Lenses does not?

Lenses users report missing features such as high availability, richer DataOps capabilities (e.g., exporting/importing Data Policies and security configurations), more stream reactor connectors, data type converters within the UI, and enhanced protobuf support. Some also note limitations with SQL processors development workflows and lack of free/open versions, which alternatives address.



### What are the best alternatives to Lenses?

The best alternatives to Lenses are [Confluent](https://www.g2.com/products/confluent/reviews) (4.4/5 stars, 114 reviews), [Datadog](https://www.g2.com/products/datadog/reviews) (4.4/5 stars, 717 reviews), [New Relic](https://www.g2.com/products/new-relic/reviews) (4.4/5 stars, 583 reviews), and [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) (4.5/5 stars, 576 reviews). These alternatives offer higher review counts and comparable or better ratings, with strengths in ease of setup, support, and meeting requirements.



### Which Stream Analytics tools do reviewers recommend instead of Lenses?

Reviewers recommend [Confluent](https://www.g2.com/products/confluent/reviews) for its robust, scalable Kafka-based streaming platform with excellent UI, schema registry, and managed services that simplify Kafka infrastructure management. [Datadog](https://www.g2.com/products/datadog/reviews) is favored for its unified observability platform combining metrics, logs, traces, and alerts with strong integrations and customizable dashboards. [New Relic](https://www.g2.com/products/new-relic/reviews) is praised for full-stack observability, real-time monitoring, and intuitive dashboards that enhance application performance insights. [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) is recommended for centralizing and cleaning customer data with AI-driven automation and seamless integration across CRM and marketing tools, improving data quality and operational efficiency.



### How does Lenses compare to Confluent?

According to G2 data, [Lenses](https://www.g2.com/products/lenses/reviews) and [Confluent](https://www.g2.com/products/confluent/reviews) both serve Kafka ecosystem users but differ in key areas. Confluent holds a 0.5-point lead in Meeting Requirements (8.7 vs 8.2) and a 0.6-point advantage in Ease of Setup (8.2 vs 7.6). Conversely, Lenses scores higher in Usability by 1.0 point (9.4 vs 8.4) and Ease of Administration by 0.7 points (8.8 vs 8.1). Both products tie in Ease of Doing Business with an 8.5 score, but Confluent leads Support by 0.9 points (8.3 vs 7.4). User reviews highlight Lenses' strengths in ease of use (7 mentions), intuitive UI (6 mentions), and SQL querying capabilities, making it accessible for both experienced and less technical users. However, Lenses faces criticism for limited feature updates, unresolved bugs, vendor lock-in concerns, and insufficient documentation. In contrast, Confluent is praised for its scalability, reliability, comprehensive Kafka management, and extensive integrations, supported by 114 reviews with a 4.4 average rating versus Lenses' 4.2 from 17 reviews. Confluent users appreciate its managed cloud services, schema registry, and KSQLDB, though they note a steep learning curve, higher cost, and occasional documentation gaps. Overall, [Confluent](https://www.g2.com/products/confluent/reviews) is favored for enterprise-grade scalability and comprehensive Kafka management, while [Lenses](https://www.g2.com/products/lenses/reviews) appeals to users prioritizing ease of use and administration with a simpler, more intuitive interface.



### Why do users choose Confluent over Lenses?

Users choose [Confluent](https://www.g2.com/products/confluent/reviews) over Lenses primarily for its superior scalability, reliability, and comprehensive Kafka ecosystem management. Confluent's 114 reviews with a 4.4 average rating reflect strong satisfaction with its managed cloud services, ease of setup (8.2 vs 7.6), and extensive integrations including schema registry and KSQLDB, which streamline real-time data streaming and governance. Confluent's 0.9-point higher Support score (8.3 vs 7.4) indicates better customer assistance, which users find time-saving and productivity-enhancing. Additionally, Confluent's ability to handle large-scale event processing, cross-cluster replication, and automated cluster management reduces operational overhead, making it attractive for enterprises needing robust, scalable solutions. Despite a steeper learning curve and higher costs, users value Confluent's unified platform for real-time data pipelines and microservices, its extensive feature set, and reliable infrastructure. These factors drive preference for Confluent when organizations require a scalable, fully managed Kafka service with strong support and integration capabilities.




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