Why Choose Striim vs. HVR Software?

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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 vs. HVR Software Feature Comparison

Cloud-Scale Architecture

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

HVR is a single-node solution. Doesn’t scale horizontally. Must be deployed as a virtual machine.

Striim

HVR

Real-time Transformations + Analysis

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.

HVR doesn’t support scalable transformations or data processing.

Striim

HVR

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 SLAs and customers see end-to-end latency under 2 seconds.

 

HVR also provides in-flight data visualization and validation as well as live end-to-end-latency reports.

Striim

HVR

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. 

HVR doesn’t support data enrichment.

Striim

HVR

Cloud Partnerships

Striim’s cloud partners include Google, Microsoft, AWS, and Snowflake. Striim partners closely with cloud vendors to support a full breadth of endpoints for a variety of strategic use cases. Striim also supports deployment via metered and SaaS marketplace offerings to take advantage of cloud scalability.

HVR has partnerships with Matillion and Snowflake.

Striim

HVR

Custom Alerts

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

HVR offers predefined alerts, but doesn’t allow alerts and dashboards on custom metrics.

Striim

HVR

Data Sources: Cloud and on-premise databases and data warehouses

Striim

HVR

Data Sources: IoT devices

Striim

HVR

Data Sources: Kafka

Striim

HVR

Data Targets: Cloud Data Warehouses and Databases

Striim

HVR

Data Targets: Messaging Systems

Striim supports Kafka, AMPQ, MapR Streams and JMS.

HVR supports Kafka.

Striim

HVR

Data Targets: APIs

Striim

HVR

High-Performance, E1P CDC

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

HVR also offers support for high-performance log-based CDC from popular databases.

Striim

HVR

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