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Apache Spark
Apache Spark

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VoltDB
VoltDB

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Apache Spark vs VoltDB: What are the differences?

What is Apache Spark? Fast and general engine for large-scale data processing. Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

What is VoltDB? In-memory relational DBMS capable of supporting millions of database operations per second. VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.

Apache Spark can be classified as a tool in the "Big Data Tools" category, while VoltDB is grouped under "In-Memory Databases".

Some of the features offered by Apache Spark are:

  • Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk
  • Write applications quickly in Java, Scala or Python
  • Combine SQL, streaming, and complex analytics

On the other hand, VoltDB provides the following key features:

  • In-Memory Performance with On-Disk Durability
  • Transparent Scalability with Data Consistency
  • NewSQL – All the benefits of SQL with Unlimited Scalability

"Open-source" is the primary reason why developers consider Apache Spark over the competitors, whereas "SQL + Java" was stated as the key factor in picking VoltDB.

Apache Spark is an open source tool with 22.3K GitHub stars and 19.3K GitHub forks. Here's a link to Apache Spark's open source repository on GitHub.

- No public GitHub repository available -

What is Apache Spark?

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

What is VoltDB?

VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.
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      What are some alternatives to Apache Spark and VoltDB?
      Hadoop
      The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
      Splunk
      Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
      Cassandra
      Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
      Apache Beam
      It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.
      Apache Flume
      It is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application.
      See all alternatives
      Decisions about Apache Spark and VoltDB
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      How developers use Apache Spark and VoltDB
      Avatar of Wei Chen
      Wei Chen uses Apache SparkApache Spark

      Spark is good at parallel data processing management. We wrote a neat program to handle the TBs data we get everyday.

      Avatar of Ralic Lo
      Ralic Lo uses Apache SparkApache Spark

      Used Spark Dataframe API on Spark-R for big data analysis.

      Avatar of Kalibrr
      Kalibrr uses Apache SparkApache Spark

      We use Apache Spark in computing our recommendations.

      Avatar of BrainFinance
      BrainFinance uses Apache SparkApache Spark

      As a part of big data machine learning stack (SMACK).

      Avatar of Dotmetrics
      Dotmetrics uses Apache SparkApache Spark

      Big data analytics and nightly transformation jobs.

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