Apache Flink vs. Elecard StreamEye Studio

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Flink
Score 9.2 out of 10
N/A
Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. And FlinkCEP is the Complex Event Processing (CEP) library implemented on top of Flink. Users can detect event patterns in streams of events.N/A
Elecard StreamEye Studio
Score 9.1 out of 10
Enterprise companies (1,001+ employees)
Elecard StreamEye - a software tool for professionals in the video compression field. It enables in-depth bitstream analysis to macroblock level, codec parameters inspection. MPEG-1, MPEG-2, AVC/H.264, HEVC/H.265, AV1, VP9, VVC (preview version). Finding an issue in the elementary stream that may cause errors at the decoder. Analyze bitrate and buffer deviations. Check the stream versus compliance standard. Calculate overall stream quality with a help of different objective and subjective…
$0
Pricing
Apache FlinkElecard StreamEye Studio
Editions & Modules
No answers on this topic
per seat license
$0
floating license
$0
Offerings
Pricing Offerings
Apache FlinkElecard StreamEye Studio
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache FlinkElecard StreamEye Studio
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Apache FlinkElecard StreamEye Studio
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Apache Flink
8.7
1 Ratings
7% above category average
Elecard StreamEye Studio
9.1
1 Ratings
12% above category average
Real-Time Data Analysis10.01 Ratings9.11 Ratings
Data Ingestion from Multiple Data Sources7.01 Ratings00 Ratings
Low Latency10.01 Ratings9.11 Ratings
Data wrangling and preparation6.01 Ratings00 Ratings
Linear Scale-Out9.01 Ratings00 Ratings
Data Enrichment10.01 Ratings00 Ratings
Visualization Dashboards00 Ratings9.11 Ratings
Best Alternatives
Apache FlinkElecard StreamEye Studio
Small Businesses
IBM Streams
IBM Streams
Score 9.0 out of 10
IBM Streams
IBM Streams
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 7.4 out of 10
Confluent
Confluent
Score 7.4 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 8.1 out of 10
Spotfire Streaming
Spotfire Streaming
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache FlinkElecard StreamEye Studio
Likelihood to Recommend
9.0
(1 ratings)
9.1
(1 ratings)
User Testimonials
Apache FlinkElecard StreamEye Studio
Likelihood to Recommend
Apache
In well-suited scenarios, I would recommend using Apache Flink when you need to perform real-time analytics on streaming data, such as monitoring user activities, analyzing IoT device data, or processing financial transactions in real-time. It is also a good choice in scenarios where fault tolerance and consistency are crucial. I would not recommend it for simple batch processing pipelines or for teams that aren't experienced, as it might be overkill, and the steep learning curve may not justify the investment.
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Elecard
Any scenarios wherein a video stream is required to be analyzed specifically h264 streams.
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Pros
Apache
  • Low latency Stream Processing, enabling real-time analytics
  • Scalability, due its great parallel capabilities
  • Stateful Processing, providing several built-in fault tolerance systems
  • Flexibility, supporting both batch and stream processing
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Elecard
  • Bit Rate analysis specifically when Iframes are taking more bits and starving frames of bits.
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Cons
Apache
  • Python/SQL API, since both are relatively new, still misses a few features in comparison with the Java/Scala option
  • Steep Learning Curve, it's documentation could be improved to something more user-friendly, and it could also discuss more theoretical concepts than just coding
  • Community smaller than other frameworks
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Elecard
  • No issues found so far
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Alternatives Considered
Apache
Apache Spark is more user-friendly and features higher-level APIs. However, it was initially built for batch processing and only more recently gained streaming capabilities. In contrast, Apache Flink processes streaming data natively. Therefore, in terms of low latency and fault tolerance, Apache Flink takes the lead. However, Spark has a larger community and a decidedly lower learning curve.
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Elecard
No answers on this topic
Return on Investment
Apache
  • Allowed for real-time data recovery, adding significant value to the busines
  • Enabled us to create new internal tools that we couldn't find in the market, becoming a strategic asset for the business
  • Enhanced the overall technical capability of the team
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Elecard
No answers on this topic
ScreenShots

Elecard StreamEye Studio Screenshots

Screenshot of area chartScreenshot of navigationScreenshot of QuantizerScreenshot of Stream AnalyzerScreenshot of QuEst video comparisonScreenshot of QuEst difference