About
Unified stream and batch data processing that's serverless, fast, and cost-effective. Fully managed data processing service. Automated provisioning and management of processing resources. Horizontal autoscaling of worker resources to maximize resource utilization. OSS community-driven innovation with Apache Beam SDK. Reliable and consistent exactly-once processing. Streaming data analytics with speed. Dataflow enables fast, simplified streaming data pipeline development with lower data latency. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Dataflow automates provisioning and management of processing resources to minimize latency and maximize utilization.
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About
The Hitachi Streaming Data Platform (SDP) is a real-time data processing system designed to analyze large volumes of time-sequenced data as it is generated. By leveraging in-memory and incremental computational processing, SDP enables swift analysis without the delays associated with traditional stored data processing. Users can define summary analysis scenarios using Continuous Query Language (CQL), similar to SQL, allowing for flexible and programmable data analysis without the need for custom applications. The platform's architecture comprises components such as development servers, data-transfer servers, data-analysis servers, and dashboard servers, facilitating scalable and efficient data processing workflows. SDP's modular design supports various data input and output formats, including text files and HTTP packets, and integrates with visualization tools like RTView for real-time monitoring.
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About
Nussknacker is a low-code visual tool for domain experts to define and run real-time decisioning algorithms instead of implementing them in the code.
It serves where real-time actions on data have to be made: real-time marketing, fraud detection, Internet of Things, Customer 360, and Machine Learning inferring.
An essential part of Nussknacker is a visual design tool for decision algorithms.
It allows not-so-technical users – analysts or business people – to define decision logic in an imperative, easy-to-follow, and understandable way. Once authored, with a click of a button, scenarios are deployed for execution. And can be changed and redeployed anytime there’s a need.
Nussknacker supports two processing modes: streaming and request-response. In streaming mode, it uses Kafka as its primary interface. It supports both stateful and stateless processing.
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About
Data integration for your hybrid cloud. Modern, reliable data integration across your private and public cloud. All in real-time with change data capture and data streams. Built by the executive & technical team from GoldenGate Software, Striim brings decades of experience in mission-critical enterprise workloads. Striim scales out as a distributed platform in your environment or in the cloud. Scalability is fully configurable by your team. Striim is fully secure with HIPAA and GDPR compliance. Built ground up for modern enterprise workloads in the cloud or on-premise. Drag and drop to create data flows between your sources and targets. Process, enrich, and analyze your streaming data with real-time SQL queries.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Teams that want unified stream and batch data processing that's serverless, fast, and cost-effective
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Audience
IT infrastructure teams and data engineers in large enterprises seeking a high-performance, real-time analytics solution to monitor systems, detect anomalies, and drive operational efficiency
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Audience
Developers and software architects searching for a low-code tool for real-time actions on data
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Audience
Companies that need a complete data integration solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
0
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationGoogle
Founded: 1998
United States
cloud.google.com/dataflow
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Company InformationHitachi
Japan
www.hitachi.com
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Company InformationNussknacker
nussknacker.io
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Company InformationStriim
Founded: 2012
United States
striim.com
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Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Streaming Analytics Features
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
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Streaming Analytics Features
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
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Low-Code Development Features
AI-Assisted Development
Business Process Automation
Collaborative Development
Data Aggregation and Publishing
Deployment Management
Drag & Drop
Integrations Management
Iteration Management
Performance Monitoring
Requirements Management
Templates
Visual Modeling
Web / Mobile App Development
Workflow Management
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Big Data Features
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Extraction Features
Disparate Data Collection
Document Extraction
Email Address Extraction
Image Extraction
IP Address Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Integration Features
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Predictive Analytics Features
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
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Integrations
Amazon Web Services (AWS)
Apache Kafka
CData Connect
Dataplex Universal Catalog
Google Cloud Bigtable
Google Cloud Confidential VMs
Google Cloud Datastream
Google Cloud IoT Core
Google Cloud Platform
Google Cloud Profiler
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Integrations
Amazon Web Services (AWS)
Apache Kafka
CData Connect
Dataplex Universal Catalog
Google Cloud Bigtable
Google Cloud Confidential VMs
Google Cloud Datastream
Google Cloud IoT Core
Google Cloud Platform
Google Cloud Profiler
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Integrations
Amazon Web Services (AWS)
Apache Kafka
CData Connect
Dataplex Universal Catalog
Google Cloud Bigtable
Google Cloud Confidential VMs
Google Cloud Datastream
Google Cloud IoT Core
Google Cloud Platform
Google Cloud Profiler
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Integrations
Amazon Web Services (AWS)
Apache Kafka
CData Connect
Dataplex Universal Catalog
Google Cloud Bigtable
Google Cloud Confidential VMs
Google Cloud Datastream
Google Cloud IoT Core
Google Cloud Platform
Google Cloud Profiler
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