Best Data Management Software for Azure Event Hubs

Find and compare the best Data Management software for Azure Event Hubs in 2024

Use the comparison tool below to compare the top Data Management software for Azure Event Hubs on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    New Relic Reviews
    Top Pick
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    Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.
  • 2
    Solace PubSub+ Reviews
    Solace is a specialist in Event-Driven-Architecture (EDA), with two decades of experience providing enterprises with highly reliable, robust and scalable data movement technology based on the publish & subscribe (pub/sub) pattern. Solace technology enables the real-time data flow behind many of the conveniences you take for granted every day such as immediate loyalty rewards from your credit card, the weather data delivered to your mobile phone, real-time airplane movements on the ground and in the air, and timely inventory updates to some of your favourite department stores and grocery chains, not to mention that Solace technology also powers many of the world's leading stock exchanges and betting houses. Aside from rock solid technology, stellar customer support is one of the biggest reasons customers select Solace, and stick with them.
  • 3
    Ascend Reviews

    Ascend

    Ascend

    $0.98 per DFC
    Ascend provides data teams with a unified platform that allows them to ingest and transform their data and create and manage their analytics engineering and data engineering workloads. Ascend is supported by DataAware intelligence. Ascend works in the background to ensure data integrity and optimize data workloads, which can reduce maintenance time by up to 90%. Ascend's multilingual flex-code interface allows you to use SQL, Java, Scala, and Python interchangeably. Quickly view data lineage and data profiles, job logs, system health, system health, and other important workload metrics at a glance. Ascend provides native connections to a growing number of data sources using our Flex-Code data connectors.
  • 4
    PeerDB Reviews

    PeerDB

    PeerDB

    $250 per month
    PeerDB is the fastest, easiest, and most cost-effective solution to replicate data between Postgres and data warehouses, queues and storage. Designed to scale at any size and tailored for data stores. PeerDB replays the schema messages using replication messages from Postgres replication slots. Alerts for slot expansion and connections. Native support for Postgres toast columns and large JSONB for IoT. Optimized query designs to reduce warehouse costs. Especially useful for Snowflake or BigQuery. Support for partitioned table via both publish. Transaction snapshotting and CTID scanning provide a consistent and fast initial load. High-availability with autoscaling, advanced logs, metrics, dashboards and monitoring dashboards.
  • 5
    Samza Reviews

    Samza

    Apache Software Foundation

    Samza lets you build stateful applications that can process data in real time from multiple sources, including Apache Kafka. It has been battle-tested at scale and supports flexible deployment options, including running on YARN or as a standalone program. Samza offers high throughput and low latency to instantly analyze your data. With features like host-affinity and incremental checkpoints, Samza can scale to many terabytes in state. Samza is easy-to-use with flexible deployment options YARN, Kubernetes, or standalone. The ability to run the same code to process streaming and batch data. Integrates with multiple sources, including Kafka and HDFS, AWS Kinesis Azure Eventhubs, Azure Eventhubs K-V stores, ElasticSearch, AWS Kinesis, Kafka and ElasticSearch.
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