Application Data Integration
April 4, 2024
Why Choose Striim vs. Stitch?
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 Stitch: Feature-by-Feature Comparison
Cloud-Scale Architecture
Cloud-Scale Architecture
Striim scales horizontally on in-memory compute with high availability and failover for maximum uptime.
Stitch also offers a cloud-based, highly-available infrastructure.
Striim
Stitch
Enterprise-Grade Reliability + Security
Striim’s security features and deployment model enables organizations to be fully in control of compliance to standards within their industry.
Stitch does not support replicating data in a PCI-compliant manner.
Striim
Stitch
Real-Time Data Migration + Replication
Striim customers see end-to-end latency under 2 seconds. Striim offers data delivery and latency SLAs.
Stitch performs replication in steps and there is a delay between data extraction and loading.
Striim
Stitch
Enables Hybrid-Cloud Use Cases
Striim can be deployed on-premise and in the cloud.
Striim
Stitch
Minimizes Downtime
Striim supports long-running transactions with no downtime.
In the event of errors during the extraction and loading steps, Stitch will stop the current job and wait until the next scheduled job to restart the data extraction.
Striim
Stitch
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.
Stitch keeps pre-load data processing to a minimum (they offer transformations to ensure compatibility with the destination).
Striim
Stitch
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.
Stitch does not offer real time data visualization dashboards.
Striim
Stitch
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.
Stitch does not support real-time data enrichment.
Striim
Stitch
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.
Stitch also offers cloud partnerships.
Striim
Stitch
Custom Alerts
Striim allows custom alerts on data delivery SLAs, data loss, and user-defined rules.
Stitch offers a default set of integration and destination error alerts, but no custom alerts.
Striim
Stitch
Data Sources: Cloud + On-Premise
Databases and Data Warehouses
Striim
Stitch
Data Sources: IoT Devices
Striim
Stitch
Data Sources: Marketing, Product
& Sales Apps
Striim
Stitch
Data Sources: Kafka
Striim
Stitch
Data Targets: Cloud Data
Warehouses and Databases
Striim
Stitch
Data Targets: Files,
Messaging Systems, APIs, Big Data
Striim
Stitch
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 required for mission-critical workloads.
Stitch supports CDC for databases like Oracle and SQL Server, but they don’t support high-performance, E1P CDC.
Striim
Stitch
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.
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 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
Application Data Integration
April 3, 2024
Application Data Integration
April 1, 2024
