Streaming Analytics6Streaming Analytics is performing analytic computations on data streaming from devices, sensors, websites, social media, applications, infrastructure systems, and more. This category of tools is an evolution of Complex Event Processing (CEP) software, designed specifically for the big data era.TIBCO StreamBase1https://media.trustradius.com/product-logos/Ji/QU/UW8UTXZF42SL.JPEGIBM Streaming Analytics2https://media.trustradius.com/product-logos/Uv/Xp/77N37PEPH17Z-180x180.PNGAmazon Kinesis3https://media.trustradius.com/vendor-logos/LY/YM/1TDXH4LPI5BH-180x180.JPEGVitria VIA4https://media.trustradius.com/vendor-logos/Jp/X4/Q6A3CT1SAEWX-180x180.PNGSQLstream Blaze5https://media.trustradius.com/product-logos/3G/ah/HV3VC49F90UC.pngApama Streaming Analytics6https://media.trustradius.com/vendor-logos/mv/Da/FJA6098K7E50-180x180.PNGInformatica Platform for Streaming Analytics7https://media.trustradius.com/vendor-logos/VF/Bu/OVVS3ZL385NT-180x180.JPEGBlackLynx Accelerated Analytics (formerly Ryft)8https://media.trustradius.com/vendor-logos/2d/MC/B51BQDOUE29W-180x180.PNGConfluent Cloud9https://media.trustradius.com/vendor-logos/gx/rX/OQ2NVLLS2T2C-180x180.JPEGEnterprise Fluentd10https://media.trustradius.com/product-logos/aG/Sh/ACAAA5QFVI60.JPEGAzure Stream Analytics11https://media.trustradius.com/vendor-logos/tf/J4/RTX1AO2GSVNS-180x180.JPEGApache Flink12https://media.trustradius.com/product-logos/Jt/QC/NC101OWDOJ6J.PNGGoogle Cloud Dataflow13https://media.trustradius.com/vendor-logos/a6/c6/JGG6SW6IUMTJ-180x180.PNGSAS Event Stream Processing14https://media.trustradius.com/vendor-logos/1R/C2/78WM406O343V-180x180.JPEGStreamAnalytix15https://media.trustradius.com/product-logos/Ho/Dv/B6D1AQMOII49.JPEGStreamSets DataOps Platform16https://media.trustradius.com/vendor-logos/nl/fb/93GW9P6O16V5-180x180.PNGOracle Stream Analytics17https://media.trustradius.com/vendor-logos/VC/02/T4E108T4IWP2-180x180.PNGAmazon Kinesis Analytics18https://media.trustradius.com/vendor-logos/LY/YM/1TDXH4LPI5BH-180x180.JPEGEsper Enterprise Edition19https://media.trustradius.com/vendor-logos/Fv/J9/LCNHK054I8TM-180x180.JPEGApache Spark Streaming20https://media.trustradius.com/vendor-logos/LN/4T/QCXUVWPH4BJL.pngApache Samza21https://media.trustradius.com/vendor-logos/LN/4T/QCXUVWPH4BJL.pngHitachi Streaming Data Platform (HSDP)22https://media.trustradius.com/vendor-logos/RG/Yt/MJIDJV0VP3AN-180x180.JPEGAltimetrik A3P23https://media.trustradius.com/vendor-logos/sA/ON/PJ6TQPVUDE7D-180x180.JPEGKinetica Active Analytics Platform24https://media.trustradius.com/vendor-logos/0y/kx/SV6W5BIGWXX9-180x180.JPEGXavient Data Ingestion Platform (DiP)25https://media.trustradius.com/vendor-logos/Ba/mH/G7OPIHD31T6W-180x180.JPEG

Streaming Analytics Software

Streaming Analytics Software Overview

What is Streaming Analytics Software?

Streaming Analytics is performing analytic computations on streaming data. Data streams can come from devices, sensors, websites, social media, applications, infrastructure systems, and more.


The emergence of the big data revolution means that vast amounts of data are flowing at high velocity, and corporations must process this streaming data in real time to achieve differentiation from their competitors.

Streaming Analytics Features & Capabilities

  • Visualization dashboards

  • Real-time data analysis and reporting

  • Compatible with multiple data sources

  • Integrated development tools

  • Data wrangling/prep

  • Data enrichment

  • Automation through machine learning

Uses of Streaming Analytics Software

Streaming analytics is uniquely important in real-time stock-trading analysis by financial services companies. it has also become crucial for real-time fraud detection; data and identity protection services, and analysis of Internet of Things data from sensors embedded in physical objects.

Streaming Analytics vs. Complex Event Processing

This category of tools is an evolution of Complex Event Processing (CEP) software, designed specifically for the big data era. Some of the differences between these two related categories are:


  • Stream Processing Engines tend to be distributed while CEP engines tend to be more centralized

  • Stream Processing Engines require custom code while CEP engines often have a SQL like a query language.

  • CEP engines are tuned for low latency and often they respond within few milliseconds while Stream Processing engines take close to a second to generate results.

Pricing Information

Some companies elect to build their own solutions using sometimes components like message brokers, stream processing engines, data extraction tools, and more. However, the degree of expertise required to build easy-to-use scalable platforms can be daunting. For this reason, many prefer to purchase end-to-end platforms. These products are often provided as cloud services and pricing plans vary, making direct comparison difficult. Some products charge users by streaming units consumed and the amount of data processed. Other vendors charge by usage hours.

Streaming Analytics Products

Listings (1-25 of 31)

The TIBCO StreamBaseĀ® platform is a high-performance system for rapidly building applications that analyze and act on real-time streaming data. Using StreamBase, users can rapidly build real-time systems and deploy them at a fraction of the cost and risk of other alternatives.

IBM Streaming Analytics is a fully managed service that frees you from time-consuming installation, administration, and management tasks, giving you more time to develop streaming applications. It is powered by IBM Streams, an advanced analytic platform that you can use to ingest, analyze, and co...

We don't have enough ratings and reviews to provide an overall score.

VIA, from Vitria in Menlo Park, is an analytics platform which can consume large quantities of data from disparate systems and produce multi-dimensional, time-series and predictive analyses.

We don't have enough ratings and reviews to provide an overall score.

San Francisco-based SQLstream offers SQLstream Blaze, a streaming analytics platform for high throughput data, supporting a variety of streaming sources, data discovery, data wrangling, real-time threat detection and analytics.

We don't have enough ratings and reviews to provide an overall score.

Used by Microsoft, Amazon, Google, and many more, Fluentd was invented by Treasure Data to easily collect, parse, and deliver massive amounts of data from applications, infrastructure, network devices, and log files. Enterprise Fluentd expands on that original vision and brings enterprise-grade s...

We don't have enough ratings and reviews to provide an overall score.

Apache Flink is a streaming analytics for tracking real-time events over event-based applications, for managing high throughput with guaranteed correctness and consistency.

We don't have enough ratings and reviews to provide an overall score.

Impetus in Los Gatos offers StreamAnalytix, a streaming analytics platform for receiving multi-structured data (NoSQL and RDBMS), messaging services, and cloud data stores, and supplying real-time actionable analytics on high velocity data.

We don't have enough ratings and reviews to provide an overall score.

StreamSets in San Francisco offers their DataOps Platform, a subscription based streaming analytics platform including StreamSets Data Collector data source management, Control Hub for data movement architecture management, StreamSets Data Collector Edge IoT manager, DataFlow Performance Manager...

We don't have enough ratings and reviews to provide an overall score.

Amazon Kinesis Analytics is a streaming analytics product from AWS. The product provides real-time streaming data insights and allows users to write SQL queries on streaming data.

We don't have enough ratings and reviews to provide an overall score.

Apache Samza is an open-source near-realtime, asynchronous computational framework for stream processing developed by the Apache Software.