Apache Spark Development & Consulting Services Company

Implement Spark to discover new business opportunities

Softweb Solutions offers top-notch Apache Spark development services to empower businesses with powerful data processing and analytics capabilities. With a skilled team of Spark experts, we provide tailored solutions that harness the potential of big data for enhanced decision-making.

Craft and deploy customized Spark apps for distinct business requirements.
Utilize Spark’s rapid processing for instant data insights.
Derive insights from vast datasets with Spark’s advanced analytics.
Create adaptable, scalable Spark solutions for evolving data needs.

Benefits of using Apache Spark

Extremely fast

When it comes to big data processing, Spark is way faster than a number of similar tools, including Hadoop. The tool utilizes in-memory computing and works at lightning speed even when the data is saved on disk.

Easy to use

Besides comprising APIs to process large datasets, this tool features Azure HDInsight and can be implemented in the Hadoop ecosystem. Developers can create applications for Spark using Java, Scala and Python.

Spark Core engine

The tool features Spark SQL to run SQL-like queries with BI tools and visualizations, Spark Streaming for processing real-time streaming data, Spark MLlib for common learning algorithms and GraphX computation engine.

Compatible with multiple tools

Spark is compatible with various types of tools. You can run it on open-source frameworks like Hadoop and Mesos, in the cloud, or as a standalone tool. Also, it can access data from Cassandra, HBase, HDFS, R and S3 easily.

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Spark Libraries

MLLIB

This scalable machine learning library features algorithms that include classification, regression, dimensionality reduction, clustering, optimization and collaborative filtering. This module also lets you enjoy the benefits of relational processing like optimized storage and declarative queries.

Graphx

This API for graphs and graph-parallel computation includes a collection of algorithms and builders that simplify graph analytics. It is a specialized graph processing system meant to help you improve your business performance.

Streaming

Spark Streaming makes enterprise apps capable of processing data at a fast rate and receiving new data in real time. A micro batch model of computing and processing enables interactive and analytical applications across historical and streaming data.

Applications of Apache Spark in various industries

Healthcare

Data collected from medical records and wearables can be analyzed by healthcare organizations to get health-related insights to benefit their patients.

Media and Entertainment

Spark can easily handle the millions of data points that media platforms generate and the tool’s machine learning algorithms can analyze them for useful outcomes.

Retail

Retail industry can benefit from Apache Spark by gaining insights regarding customer behavior and buying patterns to improve their revenue opportunities.

Manufacturing

Spark can play a vital role in improving quality control, worker safety and the production processes of manufacturing companies. Sensors can be installed to remotely monitor machines to avoid sudden breakdowns and downtime.

Energy

Softweb Solutions can help you implement Spark to predict equipment failures, carry out preventive maintenance and analyze data collected by sensors installed in oil wells and other energy-generating infrastructure.

Finance

Spark can be useful for detecting money laundering and other finance-related illegal activities. We help you understand your customer base and develop personalized recommendations for retention and revenue generation.

Latest Spark insights

Big Data | Data Analytics

Transforming big data into smart decisions with Apache Spark

Accelerate insights with real-time analytics