Stream processing

GridGain Named in the 2023 Gartner® Market Guide for Event Stream Processing

Retrieved on: 
Tuesday, August 22, 2023
DBMS, ESP, Gartner, Stream processing, ML, Organization, Motion, Logic, Unified, Mobile phone

FOSTER CITY, Calif., Aug. 22, 2023 (GLOBE NEWSWIRE) -- GridGain ® , provider of a leading unified real-time data platform, today announced that it has been named in the Unified Real-Time Platforms category in the 2023 Gartner Market Guide for Event Stream Processing 1.

Key Points: 
  • FOSTER CITY, Calif., Aug. 22, 2023 (GLOBE NEWSWIRE) -- GridGain ® , provider of a leading unified real-time data platform, today announced that it has been named in the Unified Real-Time Platforms category in the 2023 Gartner Market Guide for Event Stream Processing 1.
  • The latest Gartner Market Guide for Event Stream Processing (ESP) outlines an updated market definition and description – including the introduction of a new category for Unified Real-Time Platforms – as well as market direction and analysis, and recommendations for organizations looking to invest in Event Stream Processing.
  • However, they also have capabilities not available from ESP platforms, specifically including support for synchronous, request/reply interactions and the capability to manage long-term reference and state data.”
    “We are thrilled to be named a Unified Real-Time Platform vendor in the Gartner Market Guide for Event Stream Processing,” said Katherine Rincon, Chief Marketing Officer at GridGain.
  • [1] Gartner, Market Guide for Event Stream Processing, W. Roy Schulte, et.

GridGain Named in the 2023 Gartner® Market Guide for Event Stream Processing

Retrieved on: 
Tuesday, August 22, 2023
DBMS, ESP, Gartner, Stream processing, ML, Organization, Motion, Logic, Unified, Mobile phone

FOSTER CITY, Calif., Aug. 22, 2023 (GLOBE NEWSWIRE) -- GridGain ® , provider of a leading unified real-time data platform, today announced that it has been named in the Unified Real-Time Platforms category in the 2023 Gartner Market Guide for Event Stream Processing 1.

Key Points: 
  • FOSTER CITY, Calif., Aug. 22, 2023 (GLOBE NEWSWIRE) -- GridGain ® , provider of a leading unified real-time data platform, today announced that it has been named in the Unified Real-Time Platforms category in the 2023 Gartner Market Guide for Event Stream Processing 1.
  • The latest Gartner Market Guide for Event Stream Processing (ESP) outlines an updated market definition and description – including the introduction of a new category for Unified Real-Time Platforms – as well as market direction and analysis, and recommendations for organizations looking to invest in Event Stream Processing.
  • However, they also have capabilities not available from ESP platforms, specifically including support for synchronous, request/reply interactions and the capability to manage long-term reference and state data.”
    “We are thrilled to be named a Unified Real-Time Platform vendor in the Gartner Market Guide for Event Stream Processing,” said Katherine Rincon, Chief Marketing Officer at GridGain.
  • [1] Gartner, Market Guide for Event Stream Processing, W. Roy Schulte, et.

TDengine 3.0 Introduces Cloud Native Architecture to Simplify Large-scale Time-Series Data Operations in IoT

Retrieved on: 
Tuesday, August 23, 2022
Tao, Cloud, CEO, Data compression, SQL, GitHub, GGV Capital, Google Data Studio, Stream processing, GLOBE, Database, Conference, Company, Prometheus, Data analysis, Video game console, Information technology, Computer data storage, Kubernetes, IOT

The TDengine Data Platform combines a database with caching, stream processing, and data subscription as a complete, purpose-built solution for time-series data in IoT applications.

Key Points: 
  • The TDengine Data Platform combines a database with caching, stream processing, and data subscription as a complete, purpose-built solution for time-series data in IoT applications.
  • TDengine solves common high-cardinality problems with a unique architecture that supports billions of data points while still out-performing general purpose and legacy time-series databases in data ingestion, querying, and data compression.
  • As large-scale IoT deployments generate ever-increasing amounts of data, time series databases are soaring in popularity, said Jeff Tao, founder, and CEO of TDengine.
  • Cache Storage of New Data, eliminating the need to integrate with a separate caching solution for high-speed queries of time-series data.

BangDB launches APIs for AI, Graph and Stream processing for emerging use cases in data analytics

Retrieved on: 
Thursday, July 7, 2022
Cloud, View, REST, IOT, Supply chain, Xfinity, Intelligence, Data analysis, Stream processing, Graph, Log, VCS, Cloud computing, Artificial intelligence, Financial technology, Time, AI, Database, Multimedia, App Store (iOS/iPadOS), Mobile phone

By bringing AI, Stream Processing, Graph and the database together in a single product, BangDB has created a modern stack to disrupt the data analysis market.

Key Points: 
  • By bringing AI, Stream Processing, Graph and the database together in a single product, BangDB has created a modern stack to disrupt the data analysis market.
  • Graph processing with integrated AI and Stream is the way forward to tackle emerging requirements and use cases.
  • Majority of the data will originate from devices in various shapes and sizes, coming from all directions in high speed.
  • Correlation across various data points, events spanned over massive space would be key to data processing.

BangDB launches one of the world's fastest streaming AI & Graph Data Platform on Cloud

Retrieved on: 
Monday, April 18, 2022
Cloud, CEO, Supply chain, Log, Database, Ampere, Financial technology, App Store (iOS/iPadOS), Cloud computing, Graph, Data analysis, Artificial intelligence, AI, VCS, IOT, Multimedia, Anomaly, Software as a service, View, Time, Stream processing, Xfinity, Medical imaging, Video game console

BANGALORE, India, April 18, 2022 /PRNewswire/ -- Big data firm BangDB has launched first-of-its-kind, a converged database platform (Ampere) on cloud.

Key Points: 
  • BANGALORE, India, April 18, 2022 /PRNewswire/ -- Big data firm BangDB has launched first-of-its-kind, a converged database platform (Ampere) on cloud.
  • By bringing AI, Stream Processing, Graph, and the database together in a single product, BangDB has created a modern stack to disrupt the data analysis market.
  • It is an Artificial Intelligence (AI) based converged database platform which aligns with the current and future data trends in the market.
  • BangDB has been developed from ground up and owns over a dozen of patents in data processing area.

Hazelcast Demonstrates Cloud Efficiency, Real-Time Stream Processing of One Billion Events per Second

Retrieved on: 
Wednesday, March 17, 2021
Computer architecture, Computing, Technology, Free software, Hazelcast, Transaction processing, Computers, Stream processing, Latency, Benchmark, Multi-core processor, Computer performance

SAN MATEO, Calif., March 17, 2021 /PRNewswire/ -- Hazelcast , the fast cloud application platform, today announced that it successfully achieved a stream processing performance milestone of one billion events per second with 26-millisecond latencyon 720 virtual CPUs (vCPUs) in a public cloud deployment.

Key Points: 
  • SAN MATEO, Calif., March 17, 2021 /PRNewswire/ -- Hazelcast , the fast cloud application platform, today announced that it successfully achieved a stream processing performance milestone of one billion events per second with 26-millisecond latencyon 720 virtual CPUs (vCPUs) in a public cloud deployment.
  • The Hazelcast In-Memory Computing Platform provides high speed, cloud-native, distributed stateful stream processing capabilities integrated with in-memory storage to power software applications with the highest throughput and lowest latency requirements.
  • "Until now, in the JVM-based stream processing world, a billion events per second requires painful parameterization, thousands of CPU cores, and will still only operate at multi-second latencies.
  • For more details on the benchmark and its results, visit the Hazelcast blog, " Billion Events Per Second with Millisecond Latency: Streaming Analytics at Giga-Scale. "

Guavus SQLstream, Striim, and Hazelcast Take Top Spots in ABI Research's IoT Data Management Vendor Competitive Ranking

Retrieved on: 
Thursday, March 11, 2021
Computing, Technology, Science and technology, Sqlstream, Internet of things, Hazelcast, Stream processing, Machine to machine, Draft:Pod Group

Data integration, real-time stream processing, and analytics services currently fall under the umbrella of Data Management services within the IoT value chain, where each component has also seen economic growth.

Key Points: 
  • Data integration, real-time stream processing, and analytics services currently fall under the umbrella of Data Management services within the IoT value chain, where each component has also seen economic growth.
  • "Due to rapid development of the data management market, the ABI Research developed this competitor ranking to offer an unbiased assessment and ranking of data management (exempt of storage capabilities) suppliers," explains Kateryna Dubrova, Research Analyst at ABI Research.
  • This competitive ranking evaluates eight vendors that provide stream processing and streaming analytics technologies for Internet of Things (IoT) enterprises: Guavus SQLstream, ScaleOut Software, Striim, Hazelcast, StreamSets, StreamAnalytix by Impetus Technology, and KX Technology Inc.
  • These findings are from ABI Research's Data Management: IoT Stream Processing and Streaming Analytics competitive ranking report.This report is part of the company's M2M, IoT & IoE research service, which includes research, data, and analyst insights.

Guavus SQLstream, Striim, and Hazelcast Take Top Spots in ABI Research's IoT Data Management Vendor Competitive Ranking

Retrieved on: 
Thursday, March 11, 2021
Computing, Technology, Science and technology, Sqlstream, Internet of things, Hazelcast, Stream processing, Machine to machine, Draft:Pod Group

Data integration, real-time stream processing, and analytics services currently fall under the umbrella of Data Management services within the IoT value chain, where each component has also seen economic growth.

Key Points: 
  • Data integration, real-time stream processing, and analytics services currently fall under the umbrella of Data Management services within the IoT value chain, where each component has also seen economic growth.
  • "Due to rapid development of the data management market, the ABI Research developed this competitor ranking to offer an unbiased assessment and ranking of data management (exempt of storage capabilities) suppliers," explains Kateryna Dubrova, Research Analyst at ABI Research.
  • This competitive ranking evaluates eight vendors that provide stream processing and streaming analytics technologies for Internet of Things (IoT) enterprises: Guavus SQLstream, ScaleOut Software, Striim, Hazelcast, StreamSets, StreamAnalytix by Impetus Technology, and KX Technology Inc.
  • These findings are from ABI Research's Data Management: IoT Stream Processing and Streaming Analytics competitive ranking report.This report is part of the company's M2M, IoT & IoE research service, which includes research, data, and analyst insights.

Event Stream Processing Market Report 2020-2025: Increasing Need to Analyze Large Volumes of Data From Diverse Sources

Retrieved on: 
Wednesday, December 9, 2020
Computing, Information, Articles, Cognition, Information systems, Business intelligence, Complex event processing, Process, Stream processing, Internet of things, Event stream processing, Analytics

DUBLIN, Dec. 9, 2020 /PRNewswire/ -- The "Event Stream Processing Market - Growth, Trends, and Forecasts (2020 - 2025)" report has been added to ResearchAndMarkets.com's offering.

Key Points: 
  • DUBLIN, Dec. 9, 2020 /PRNewswire/ -- The "Event Stream Processing Market - Growth, Trends, and Forecasts (2020 - 2025)" report has been added to ResearchAndMarkets.com's offering.
  • The increasing adoption of the internet of things (IoT) and smart devices, increasing need to analyze large volumes of data from diverse sources are some of the major factors influencing the growth of event stream processing market while concerns associated with data security and privacy is expected to hinder the growth of the market.
  • Event stream processing, also known as complex event processing, real-time analytics, real-time streaming analytics, or event processing, is basically a technology that can query a continuous data stream (within a period from few milliseconds to minutes), using mathematical algorithms.
  • Owing to its ability to capture, analyze, and respond to a continuous flow of data, this processing technology is widely being used to analyze massive amount of real-time data.

Event Stream Processing Market Growth, Trends, and Forecasts 2020-2025: Growing Demand for ESP Solutions in BFSI Vertical - ResearchAndMarkets.com

Retrieved on: 
Wednesday, December 2, 2020
Retail, Other Retail, Computing, Information, Cognition, Information systems, Articles, Business intelligence, Big data, Event stream processing, Radio-frequency identification, Complex event processing, Stream processing, Vertica

The "Event Stream Processing Market - Growth, Trends, and Forecasts (2020 - 2025)" report has been added to ResearchAndMarkets.com's offering.

Key Points: 
  • The "Event Stream Processing Market - Growth, Trends, and Forecasts (2020 - 2025)" report has been added to ResearchAndMarkets.com's offering.
  • Event stream processing, also known as complex event processing, real-time analytics, real-time streaming analytics, or event processing, is basically a technology that can query a continuous data stream (within a period from few milliseconds to minutes), using mathematical algorithms.
  • Event visualization, event-driven middleware, event databases, among others are some of the functionalities under ESP.
  • BFSI vertical has applications where ESP solutions can prove beneficial, such as internet banking, mobile banking.