Informatica ranked #2 in the Gartner® Market Share Analysis: Event Stream Processing Platforms, Worldwide 2021 Report
Informatica is the second-largest Event Stream Processing Platform (ESP) vendor with a 5.43% market share ahead of IBM, Confluent, Software AG, TIBCO and SAP in the latest Gartner “Market Share Analysis: Event Stream Processing Platforms, Worldwide, 2021 report”1.
The report ranked 10 Providers in the ESP Platforms Market based on their revenue and market share in 2021. According to the report, “Organizations are doing more stream processing because of the need for continuous intelligence, better situation awareness and faster, more precise business decisions. Companies have more streaming data every year — from internal sources such as corporate websites, sensors, other devices and transactional applications, and from external sources such as social media platforms, market data providers and business partners."
Informatica Continues to Raise the Bar in the Data Streaming Platform Market
The streaming space has evolved into a mainstream technology over the last decade with the increasing popularity of the cloud, the Internet of Things (IoT) and the widespread implementation of 5G. All of these events have created a significant increase in the amount of streaming data that is available to most organizations and driving the adoption of streaming technologies.
Informatica continues to lead and innovate in the event stream processing market by building industry-leading products that respond to market trends and customer needs. At Informatica we enable our customers to ingest, process and act on their data continuously in real time. This allows our customers to drive meaningful business results.
In 2005 we launched Informatica RulePoint to address Complex Event Processing (CEP) use cases in the stock trading and financial sector. In addition, we added change data capture (CDC) capabilities in our on-premises product and later in the cloud platform to enable customers to drive fraud analytics and anomaly detection use cases. In 2017, we launched Informatica Data Engineering Streaming (DES) to address Spark and Hadoop use cases. And in 2019, we introduced Informatica Cloud Mass Ingestion (CMI), the cloud-native data ingestion solution that enables enterprises to ingest CDC and streaming data for real-time stream processing. We also added continuous processing capabilities in Informatica Cloud Data Integration (CDI) from Kafka and CDC sources that can transform and enrich the data in real time.
Key Differentiating Capabilities of Informatica’s Data Streaming and Data Ingestion Solutions
Informatica Intelligent Data Management Cloud (IDMC), our comprehensive AI-powered data management platform, offers data streaming and data ingestion solutions that collect data from a wide variety of data streaming sources and processes them for real-time stream analytics and high-volume, low-latency stream data integration. Here are some of the key differentiating capabilities:
- Unified experience for data ingestion and edge processing from a variety of disparate sources
- Versatile out-of-the-box connectivity to many cloud and on-premises systems, including Apache Kafka, Confluent Kafka, Azure EventHub, Databricks Delta, Snowflake and relational systems
- Scalable stream processing with complex transformations like merge streams, windowing, aggregate and data quality on high-volume and low latency streaming data
- Ability to operationalize complex business rules and machine learning models on streaming data
- Data governance for mission-critical streaming data pipelines with end-to-end data lineage
Real-World Use Cases of Data Streaming
Data streaming use cases can be found across a variety of industries, including:
Healthcare: Improve patient care by collecting and processing bedside monitor data. This empowers clinical researchers to understand and detect diseases more effectively.
Retail: Increase sales by combining customer’s transaction records and historical spending patterns to generate real-time offer alerts.
Financial services: Prevent credit card fraud by tracking customer transactions in real-time. This helps detect anomalies to send SMS alerts for potentially fraudulent activities.
Other industries: Event stream processing also supports a variety of real-time analytics use cases in other industries, including:
- Predicting maintenance in manufacturing
- Improving the customer experience in hospitality
- Reducing customer churn in telecommunications
Data Streaming in Action: Customer Success Stories
- KLA is a leading maker of process controls and yield management systems. With their business growing, they needed analytics capabilities to provide data-driven outcomes for their customers. They also needed to perform CDC in Snowflake for high performance data capture. They looked to Informatica and Snowflake to help them with their cloud-first data strategy. With Informatica Cloud Mass Ingestion, they are able to deliver continuous data replication. And change data was moved into their Snowflake centralized cloud data lake. This enabled KLA — in one weekend — to move 1,000 Oracle database tables representing 12 years of historical ERP data into Snowflake, where it is now available for analysis. They also captured and integrated incremental Oracle data changes directly into Snowflake.
- Ovo, who is part of Lippo Group, is Indonesia’s largest payment, rewards and financial services platform. They wanted to increase customer engagement of the Ovo ecosystem, including Ovo apps, Ovo points, Ovo deals and Ovo merchants. With Informatica Data Engineering Streaming, they can now stream millions of customer data in real-time from their apps to identify customer behavior and patterns. They can also integrate them with customer transactions and patterns to deliver personalized real-time campaigns in less than 15 seconds.
1Gartner, Market Share Analysis: Event Stream Processing Platforms, Worldwide, 2021, Varsha Mehta, et al, 24 June 2022
Graphic created by Informatica based on Gartner research. Gartner is a registered trademark of Gartner, Inc. and its affiliates. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.