Apache Spark Streaming vs. Striim

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Spark Streaming
Score 8.6 out of 10
N/A
Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads.N/A
Striim
Score 8.3 out of 10
N/A
Striim is an enterprise-grade platform that offers continuous real-time data ingestion, high-speed in-flight stream processing, and sub-second delivery of data to cloud and on-premises endpoints.
$4,400
per month per 100 million Striim events
Pricing
Apache Spark StreamingStriim
Editions & Modules
No answers on this topic
Striim Cloud Enterprise Platform
$4,400
per month per 100 million Striim events
Striim Platform
$20,000
per year per VCPU
Offerings
Pricing Offerings
Apache Spark StreamingStriim
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache Spark StreamingStriim
Top Pros
Top Cons
Features
Apache Spark StreamingStriim
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Apache Spark Streaming
8.4
1 Ratings
4% above category average
Striim
-
Ratings
Real-Time Data Analysis8.01 Ratings00 Ratings
Visualization Dashboards9.01 Ratings00 Ratings
Data Ingestion from Multiple Data Sources9.01 Ratings00 Ratings
Low Latency8.01 Ratings00 Ratings
Integrated Development Tools8.01 Ratings00 Ratings
Data wrangling and preparation8.01 Ratings00 Ratings
Linear Scale-Out8.01 Ratings00 Ratings
Machine Learning Automation9.01 Ratings00 Ratings
Data Enrichment9.01 Ratings00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Apache Spark Streaming
-
Ratings
Striim
10.0
2 Ratings
18% above category average
Connect to traditional data sources00 Ratings10.02 Ratings
Connecto to Big Data and NoSQL00 Ratings10.01 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Apache Spark Streaming
-
Ratings
Striim
8.9
2 Ratings
6% above category average
Simple transformations00 Ratings10.02 Ratings
Complex transformations00 Ratings7.82 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Apache Spark Streaming
-
Ratings
Striim
8.5
2 Ratings
4% above category average
Data model creation00 Ratings8.42 Ratings
Metadata management00 Ratings8.42 Ratings
Business rules and workflow00 Ratings9.01 Ratings
Collaboration00 Ratings7.82 Ratings
Testing and debugging00 Ratings7.22 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Apache Spark Streaming
-
Ratings
Striim
9.5
1 Ratings
14% above category average
Integration with data quality tools00 Ratings9.01 Ratings
Integration with MDM tools00 Ratings10.01 Ratings
Best Alternatives
Apache Spark StreamingStriim
Small Businesses
Amazon Kinesis
Amazon Kinesis
Score 8.2 out of 10
Skyvia
Skyvia
Score 9.5 out of 10
Medium-sized Companies
Confluent Platform
Confluent Platform
Score 7.7 out of 10
InfoSphere
InfoSphere
Score 8.4 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 7.4 out of 10
InfoSphere
InfoSphere
Score 8.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache Spark StreamingStriim
Likelihood to Recommend
9.0
(1 ratings)
8.8
(2 ratings)
User Testimonials
Apache Spark StreamingStriim
Likelihood to Recommend
Apache
Apache Spark Streaming is a tool that we are using for almost a year and is excellent in managing batch processing. It is user-friendly. Using it, we can even process our massive data in fractions of seconds. Its pricing is its other plus point. Only its In-memory processing is its demerit as it occupies a large memory.
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Striim
Below samples are the well suited use cases; - Change data capture feature seamlessly works on popular RDMS. You can make enrichments on several data sources within the same Striim application. - You can install stand alone agents and start streaming log files to Striim servers. This is mainly useful for security operations or audit trail use cases.
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Pros
Apache
  • It is amazing in solving complicated transformative logic.
  • It is straightforward to program.
  • It is a very quick tool.
  • It processes large data within a fraction of seconds.
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Striim
  • GoldenGate Trail reader which iss faster than Oracle CDC. It does not used logminer, hence there is no load on source Oracle database.
  • Easy installation and upgrade in 5 minutes
  • Support is very good. Fast and user friendly.
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Cons
Apache
  • There must be more documentation.
  • It is a profoundly complex tool.
  • Its in-memory processing consumes massive memory.
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Striim
  • License a bit expensive
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Alternatives Considered
Apache
Apache Spark Streaming stands above all the huge data transformative tools because of its speed of processing which was quite slow in Presto as it takes a lot of our time in the data processing. Spark, comfortably provides integration with Jupyter like notebook environment. and Spark's combination with Jupyter and Python results in enhancing the speed .
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Striim
Faster, checkpointing better. CDC works well. The loading is faster. Easy upgrade and installation. Uses less resource.
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Return on Investment
Apache
  • Cost and time-effective tool for our business.
  • We can integrate with Jupyter with many conveniences.
  • Its high-speed data processing has proved beneficial for us.
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Striim
  • We got the license at a discount price
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ScreenShots