A fully managed SaaS solution that enables infinitely scalable unified data integration and streaming.
On-premise or in a self-managed cloud to ingest, process, and deliver real-time data.
Seamlessly connect legacy systems to a any modern, hybrid environment
Transform your business with highly responsive digital supply chains and operations powered by real-time data streaming.
Build a global and agile data environment that can track, analyze, and govern data across applications, environments, and users
Transition from reliance on monolithic applications to operating on a modern distributed architecture
Improve the customer journey and use real-time insights to provide a personalized experience
Infuse real-time analytics into every decision you make
Deliver real-time data to AWS, for faster analysis and processing.
Unify data on Google Cloud and power real-time data analytics in BigQuery.
Quickly move data to Microsoft Azure and accelerate time-to-insight with Azure Synapse Analytics and Power BI.
Unleash the power of Databricks AI/ML and Predictive Analytics.
Fulfill the promise of the Snowflake Data Cloud with real-time data.
A unified platform for data integration and streaming that modernizes and integrates industry specific services across millions of customers.
Including:
Flexible Models for Every Business.
Striim can connect hundreds of source and target combinations. View a complete list.
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Fortune 500 companies power their cloud initiatives with Striim
“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 scales horizontally on in-memory compute with high availability and failover for maximum uptime.
Qlik Replicate is a single-node solution. Doesn’t scale horizontally. Must be deployed as a virtual machine. Can deploy in a server cluster to run separate data pipelines but a single pipeline can’t scale across nodes.
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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.
Qlik Replicate supports a limited set of pre-defined transformations and basic filters. Qlik doesn’t scale on in-memory compute, therefore scalable in-flight transformations and data processing/analysis aren’t possible.
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Qlik
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.
Qlik Replicate provides a graphical overview of replication tasks, but only provides the table name, number of records loaded, and time when error occurred. This makes it difficult to debug data lag and data loss scenarios.
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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.
Qlik Replicate doesn’t support data enrichment.
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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.
Qlik partners with cloud vendors including Google, Microsoft, and Snowflake, but its solution is not built to take advantage of the scalability of the cloud. Offers limited technical integration with cloud partners.
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Qlik
Striim allows custom alerts on data delivery SLAs, data loss, and user-defined rules.
Qlik Replicate allows configuration of a limited set of predefined alerts.
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Striim offers Kafka, JMS, AMPQ, and MapR Streams as targets.
Qlik Replicate offers Kafka and MapR streams as targets.
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Striim supports high-performance, E1P log-based CDC for many popular databases including: Oracle, PostgreSQL, MongoDB, MySQL, HPE Nonstop, and SQL Server.
Qlik Replicate also offers high-performance CDC from popular databases.
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Qlik
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.
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