Striim and Confluent complement each other and enable you to:

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Fortune 500 companies power their cloud initiatives with Striim

Companies Choose Striim for Scalable, Real-Time Replication

“Our legacy analytics platform used to take an hour per customer data load and weeks for each new deployment. With Striim we are able to transfer operational data to Snowflake in near realtime.”

Prashant Soral,
CTO at Inspyrus

“Striim is a fully managed service that reduces our total cost of ownership while providing a simple drag and drop UI. There’s no maintenance overhead for American Airlines to maintain the infrastructure”

Ganesh Deivarayan,
Sr. Manager at American Airlines

Striim + Confluent: Feature-by-Feature

Cloud-Scale Architecture

Both Striim and Confluent scale horizontally on in-memory compute with high availability and failover for maximum uptime.

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Enables Hybrid-Cloud Use Cases

Both Striim and Confluent can be deployed on-premise and in the cloud.

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Support for High Consistency Database Transactions

Striim is designed to maintain transaction integrity (i.e., ACID properties) during real-time data movement so the target database remains consistent with the source.

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High-Performance, E1P Change Data Capture (CDC) from Databases

Striim supports high-performance, E1P log-based CDC for many popular databases including: Oracle, PostgreSQL, MongoDB, MySQL, HPE Nonstop, and SQL Server. E1P, high performance CDC is required for mission-critical workloads.

For CDC use cases, Confluent offers Debezium connectors for various databases (which does not support high-performance E1P CDC.)

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Fully Managed Kafka in the Cloud

Confluent offers fully managed Kafka clusters across the cloud.

Striim only manages streaming data in Kafka and Confluent deployments

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Real-time Transformations + Analysis

Striim is a modern, real-time ELT solution. Striim users can build detailed in-flight transformations, data masking, filtering logic using high-speed SQL queries. Striim scales horizontally with in-memory compute for high performance transformations.

Confluent also allows real-time SQL-based transformations and analysis.

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Real-Time Data Visualization Dashboards

Striim offers real-time dashboards visualizing end-to-end data delivery from source to target. Striim matches source and target transactions and alerts users to missing transactions, making it easy to catch issues as they happen. Striim offers data delivery and latency SLAs. Customers see end-to-end latency under 2 seconds.

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Real-Time Data Enrichment

Striim supports data enrichment and normalization using in-memory key-value stores for historic data. This allows you to enrich raw, real-time data with historical aggregates and lookup data. 

Confluent also supports data enrichment.

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Custom Alerts

Striim allows custom alerts on data delivery SLAs, data loss, and user-defined rules.

Confluent allows users to configure alerts for 4 types of triggers, but doesn’t offer custom alerts.

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Automated Corrective Actions

Striim allows users to create workflows to perform corrective actions. In the case of errors, or failures, you can also automate workflows to perform corrective actions. By tapping into error or status streams you can trigger compensating data flows to start, or perform other actions to remediate problems.

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Cloud Partnerships

Both Striim and Confluent offer cloud partnerships with AWS, Microsoft, and Google.

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Data Types: Structured,
Semi-Structured, and Unstructured Data

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Hundreds of Data Sources and Targets

Striim offers connectors to enterprise databases, log files, messaging systems (including Kafka as both a source and target), Hadoop, cloud applications, and IoT devices in real time.

Confluent also offers a wide variety of connectors.

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Striim offers a modern data platform that's both powerful and easy to use

Select from hundreds of templates to simplify building your data flows. A step-by-step wizard will lead you through the process of connecting to your source and target to create a data flow application. You can also create custom data flows from scratch.

4.0 wizards screenshot

Your data flow defines how to collect, process, and deliver data. The simplest data flow just has a source, a stream, and a target. In many cases you will need to perform some processing on your data. Striim enables you to set up continuous SQL queries optimized for streaming, real-time data.

Our built-in dashboards and monitoring enable you to see the state of your data flows in real-time and easily identify any bottlenecks. Striim can also validate that your data has been delivered and provide visibility into the end-to-end lag. This level of visibility is essential for mission-critical systems that may have SLAs regarding how current the data is.

You can also drill down on any of the components in a data flow to see detailed statistics that include read/write rate, lag, latency, CPU usage, and many other metrics. This detailed information can help identify any bottlenecks, and aids in tuning data flows for maximum performance and minimal latency.

Striim shows missing and long running transactions
Striim's alerting feature

Striim allows you to define SQL-based custom alerts so you can stay informed about the status and performance of your data flows.

In the case of errors, or failures, you can also automate workflows to perform corrective actions. By tapping into error or status streams you can trigger compensating data flows to start, or perform other actions to remediate problems.

Striim gives us a single source of truth across domains and speeds our time to market delivering a cohesive experience across different systems.

Neel Chinta, IT Manager at Macy's

Sources

Microsoft SQL Server
MongoDB
MySQL
Oracle
PostgreSQL
Salesforce

Targets

Azure Synapse Analytics
Databricks
Google BigQuery
Kafka
PostgreSQL
Snowflake

Helpful how-to guides

We've prepared a few articles to help you get started