Why Choose Striim vs. Hevo Data?

  • Enables hybrid cloud use cases
  • End-to-end latency less than 2 seconds
  • Transform, enrich, and analyze your data on the fly
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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

“We chose Striim as it provides continuous access to the data in our MySQL database without impacting its performance, and without taking the data out of the Google Cloud environment.”

Paolo Giangiacomo,
Systems Integration Manager, HomeServe

Striim vs. Hevo Data Feature Comparison

Striim vs Hevo Data

Cloud-Scale Architecture

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

Hevo scales horizontally on Amazon’s AWS cloud.

Striim

Hevo

Enables Hybrid-Cloud Use Cases

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

Striim

Hevo

Real-time Transformations + Analysis

Striim users can build detailed in-flight transformations, data masking, and filtering logic using high-speed SQL queries. Striim scales horizontally with in-memory compute for high performance transformations.

Hevo offers both pre-load (ETL) and post-load (ELT) transformations. Pre-load transformations aren’t designed for real-time data. Post-load transformations (Models and Workflows) allow users to carry out transformations in the destination data warehouse.

Striim

Hevo

Data Delivery SLAs

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. Customers see end-to-end latency under 2 seconds.

Hevo offers a pipeline progress bar and a snapshot of pipeline activity. Can be difficult to debug pipeline issues.

Striim

Hevo

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. 

With Hevo, real-time data enrichment is not possible.

Striim

Hevo

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.

No major cloud partnerships have been announced by Hevo.

Striim

Hevo

Custom Alerts

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

Hevo offers a limited set of pre-defined alerts.

Striim

Hevo

Data Sources: Cloud + On-Premise
Databases and Data Warehouses

Striim

Hevo

Data Sources: IoT Devices

Striim

Hevo

Data Sources: SaaS apps,
BI Solutions, Analytics Tools

Striim

Hevo

Data Targets: Cloud Data
Warehouses and Databases

Striim

Hevo

Data Targets: Files,
Messaging Systems, APIs, Big Data

Striim

Hevo

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.

Hevo supports log-based CDC for Oracle, PostgreSQL, MongoDB and MySQL, but not for HPE Nonstop or SQL Server. No mention of high-performance, E1P CDC.

Striim

Hevo

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

Create data flows with a few clicks

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

Process your data with real-time SQL queries

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.

Monitor your data flow in real-time

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

Set alerts and create workflows to take corrective action

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