- Feb 06, 2020 Spark is a fast and general cluster computing system for Big Data. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine.
- Latest SPARK MAX Client - Version 2.1.1. Download Latest SPARK MAX Client. The SPARK MAX Client will not work with SPARK MAX beta units distributed by REV to the SPARK MAX beta testers. It is only compatible with units received after. System Requirements. Windows 10 64-bit; Windows 7 64-bit might work but it is not supported.
An R interface to Spark. Connect to Spark from R. The sparklyr package provides a complete dplyr backend.; Filter and aggregate Spark datasets then bring them into R for analysis and visualization.
Spark | Spark Demo | |
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Price |
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Restrictions | No restrictions |
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Updates | ||
Buy Now | Download |
Spark 1.5.1
Modeling
Spark is the realization of all our latest achievements in the field of real-time electric circuits modeling. First of all, it’s a tube push-pull power amplifier that is working with a reactive load (guitar cabinet), with negative feedback and electric feed chains. This allowed us to implement a truly realistic poweramp saturation (very important for the majority of the Marshall®-based amps), realistic work of the Presence knob and made possible to take into account the influence of the output and power transformers.
One from more than ten linear circuits modeled for Spark.
AFD Hi channel full linear circuit (switch #34=off)
We have considerably improved the cabinet section. Apart from the smooth positioning of microphones, we added an option to mix sound of two mics. This allows you to find pretty much any desired sound. There are four cabs and three microphones at your disposal.
Despite the fact that Spark is an amp and cab sim above all, we gave a lot of attention to the FX section. There is a Noise Gate at the input, as well as a number of pedals: there are currently four overdrives, implemented with our proprietary technology of the electric chain modeling. As for the spatial effects - there are Chorus, Delay and Reverb.
Spark’s UI continues our approach of simple usability at no expense to a wide functionality. All main actions require just a single click. We pay a lot of attention to the design, that passes a lot of iterations of adjustments and improvements, offering you a very simple and functional solution.
Key Features
- Electronic circuits of amps and pedals are modeled with our custom technology using Neural Networks
- Pedals, preamp and power amp are working within the same oversampling cycle. Thus, there is no latency build-up and no additional losses when using several anti-aliasing filters
- Realistic and smooth positioning of up to two microphones simultaneously
- Several preamp and power amp tubes to choose from
- Stereo-mode: right and left channels are modeled independently. This mode is useful for processing stereo signals. For example, a panned double tracked guitar
- Delay and reverb can be used in parallel to get a more expressive effect without extra routing
- Plugin supports CPU multi-threading
Product Details
Supported platforms and formats: | Mac: VST2 x64, VST3 x64, AU x64, AAX x64 (Pro Tools 11 and newer) PC: VST2 x64, VST3 x64, AAX x64 (Pro Tools 11 and newer) |
Amp section: |
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Cab section: |
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Pedals and FX section: |
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Additional settings: |
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Spark 1:18 Ruf Ctr
Minimal System Requirements

PC | Mac | |
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CPU | Intel or AMD with SSE2 support, 2 cores and 4 threads, 2.6 GHz | Intel Core 2 or newer, 2 cores and 4 threads, 2.6 GHz |
OS | Windows Vista or newer | OS X 10.7 or newer |
DAW * | VST 2.4 compatible or Pro Tools 11 | AU or VST 2.4 or AAX64 compatible |
RAM | 4 Gb | 4 Gb |
Disk Space | 250 Mb | 500 Mb |

Spark 1.2
Spark Vpn 1.1.3 Apk
Category/License | Group / Artifact | Version | Updates |
---|---|---|---|
Streaming Apache 2.0 | com.clearspring.analytics»stream | 2.7.0 | 2.9.8 |
JSON Lib Apache 2.0 | com.fasterxml.jackson.core»jackson-databind | 2.6.5 | 2.10.3 |
JSON Lib Apache 2.0 | com.fasterxml.jackson.module»jackson-module-scala_2.11 | 2.6.5 | 2.10.3 |
Code Analyzer Apache 2.0 | com.google.code.findbugs»jsr305 | 1.3.9 | 3.0.2 |
Compression Apache 2.0 | com.ning»compress-lzf | 1.0.3 | 1.0.4 |
Serializer Apache 2.0 | com.twitter»chill_2.11 | 0.8.0 | 0.9.5 |
Serializer Apache 2.0 | com.twitter»chill-java | 0.8.0 | 0.9.5 |
FTP Apache 2.0 | commons-net»commons-net | 2.2 | 3.6 |
Application Metrics Apache 2.0 | io.dropwizard.metrics»metrics-core | 3.1.2 | 4.1.5 |
Apache 2.0 | io.dropwizard.metrics»metrics-jvm | 3.1.2 | 4.1.5 |
Apache 2.0 | io.dropwizard.metrics»metrics-json | 3.1.2 | 4.1.5 |
Apache 2.0 | io.dropwizard.metrics»metrics-graphite | 3.1.2 | 4.1.5 |
Network Framework Apache 2.0 | io.netty»netty-all | 4.0.42.Final | 4.1.47.Final |
Network Framework Apache 2.0 | io.netty»netty | 3.8.0.Final | 4.1.47.Final |
Java Spec CDDLGPL 2.0 | javax.servlet»javax.servlet-api | 3.1.0 | 4.0.1 |
Logging Apache 2.0 | log4j»log4j | 1.2.17 | 2.13.1 |
S3 Client Apache 2.0 | net.java.dev.jets3t»jets3t | 0.7.1 | 0.9.4 |
Hashing Apache 2.0 | net.jpountz.lz4»lz4 | 1.3.0 | 1.7.1 |
Python Integration MIT | net.razorvine»pyrolite | 4.13 | 4.30 |
Python Integration BSD 2-clause | net.sf.py4j»py4j | 0.10.4 | 0.10.9 |
Apache 2.0 | org.apache.avro»avro-mapred | 1.7.7 | 1.9.2 |
Core Utils Apache 2.0 | org.apache.commons»commons-lang3 | 3.5 | 3.9 |
Math Lib Apache 2.0 | org.apache.commons»commons-math3 | 3.4.1 | 3.6.1 |
Encryption Lib Apache 2.0 | org.apache.commons»commons-crypto | 1.0.0 | ✔ |
Dist Coordination Apache 2.0 | org.apache.curator»curator-recipes | 2.4.0 | 4.3.0 |
Apache | org.apache.hadoop»hadoop-client | 2.2.0 | 3.2.1 |
Apache 2.0 | org.apache.ivy»ivy | 2.4.0 | 2.5.0 |
Apache 2.0 | org.apache.spark»spark-launcher_2.11 | 2.1.1 | 2.4.5 |
Apache 2.0 | org.apache.spark»spark-network-common_2.11 | 2.1.1 | 2.4.5 |
Apache 2.0 | org.apache.spark»spark-network-shuffle_2.11 | 2.1.1 | 2.4.5 |
Apache 2.0 | org.apache.spark»spark-unsafe_2.11 | 2.1.1 | 2.4.5 |
Apache 2.0 | org.apache.spark»spark-tags_2.11 | 2.1.1 | 2.4.5 |
Apache 2.0 | org.apache.xbean»xbean-asm5-shaded | 4.4 | 4.5 |
Apache 2.0BSD 2-clauseEDL 1.0EPL 2.0MITPublicW3C | org.glassfish.jersey.containers»jersey-container-servlet | 2.22.2 | 2.30.1 |
Apache 2.0BSD 2-clauseEDL 1.0EPL 2.0MITPublicW3C | org.glassfish.jersey.containers»jersey-container-servlet-core | 2.22.2 | 2.30.1 |
Apache 2.0BSD 2-clauseEDL 1.0EPL 2.0MITPublicW3C | org.glassfish.jersey.core»jersey-client | 2.22.2 | 2.30.1 |
Apache 2.0EPL 2.0GPL 2.0Public | org.glassfish.jersey.core»jersey-common | 2.22.2 | 2.30.1 |
Apache 2.0BSDEPL 2.0GPL 2.0 | org.glassfish.jersey.core»jersey-server | 2.22.2 | 2.30.1 |
JSON Lib Apache 2.0 | org.json4s»json4s-jackson_2.11 | 3.2.11 | 3.6.7 |
Apache 2.0 | org.roaringbitmap»RoaringBitmap | 0.5.11 | 0.8.13 |
JVM Languages Apache 2.0 | org.scala-lang»scala-library | 2.11.8 | 2.13.1 |
Logging MIT | org.slf4j»slf4j-api | 1.7.16 | 1.7.30 |
Logging Bridge MIT | org.slf4j»jul-to-slf4j | 1.7.16 | 1.7.30 |
Logging Bridge MIT | org.slf4j»jcl-over-slf4j | 1.7.16 | 1.7.30 |
Logging Bridge MIT | org.slf4j»slf4j-log4j12 | 1.7.16 | 1.7.30 |
Compression Apache 2.0 | org.xerial.snappy»snappy-java | 1.1.2.6 | 1.1.7.3 |
Regexp Apache | oro»oro | 2.0.8 | ✔ |