Why Choose Striim vs. Fivetran?

  • Modern, cloud-scale architecture
  • End-to-end latency less than 2 seconds
  • Transform, enrich, and analyze your data on the fly

Fortune 500 companies power their cloud initiatives with Striim

Your Fivetran Alternative When Scalability and Reliability are Paramount

fivetran vs striim

Cloud-Scale Architecture

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

Fivetran’s scalability is a black box. Unclear if workloads can scale based on data volume. Striim has demonstrated faster performance using multiple nodes and parallel data processing that the user can scale up or down based on their requirements.

Striim

Fivetran

Enables Hybrid-Cloud Use Cases

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

Striim

Fivetran

Minimizes Downtime

Striim supports long-running transactions with no downtime.

Fivetran will automatically force a re-sync in the event of any unexpected data changes. This can cause hours to days of downtime in the case of large production databases.

Striim

Fivetran

Real-time Transformations + Analysis

Striim is a modern, real-time ETL 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.

Fivetran keeps pre-load data processing to a minimum (data is normalized, cleaned, sorted, and de-duplicated). They offer SQL and dbt-based post-load transformations.

Striim

Fivetran

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.

Fivetran does not offer real-time data visualization dashboards with visibility into end-to-end latency. However, their Enterprise plan does guarantees a 5-minute maximum sync frequency and includes data delivery SLAs.

Striim

Fivetran

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

Fivetran does not support real-time data enrichment.

Striim

Fivetran

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.

Fivetran offers limited technical integration with cloud partners.

Striim

Fivetran

Custom Alerts

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

Fivetran offers predefined alerts and the ability to view logs generated by connectors.

Striim

Fivetran

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

Striim

Fivetran

Data Sources: IoT Devices

Striim

Fivetran

Data Sources: Marketing, Product
& Sales Apps

Striim

Fivetran

Data Sources: Kafka

Striim

Fivetran

Data Targets: Cloud Data
Warehouses and Databases

Striim

Fivetran

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

Striim

Fivetran

High-Performance,
E1P Change Data Capture (CDC)

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 a requirement for mission-critical workloads. 

Fivetran supports CDC for databases like Oracle and SQL Server, but there is no mention of E1P, high-performance CDC.

Striim

Fivetran

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

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Targets

Helpful how-to guides

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