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NuoDB

10
25
+ 1
0
VoltDB

18
70
+ 1
18
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NuoDB vs VoltDB: What are the differences?

<Write Introduction here>
  1. Database Architecture: NuoDB is a distributed SQL database management system designed for high availability and performance by distributing data across multiple hosts, while VoltDB is an in-memory database management system that uses a shared nothing architecture to achieve high throughput and low latency.
  2. Consistency Model: NuoDB follows an ACID-compliant consistency model, ensuring that transactions are processed reliably and consistently, while VoltDB employs an in-memory, lock-free architecture for transaction processing to achieve high concurrency and low latency.
  3. Scaling Capabilities: NuoDB allows for elastic scalability by adding more nodes to the database to handle increased workloads, while VoltDB's scaling is limited by the size of the cluster due to its shared-nothing architecture.
  4. Data Durability: NuoDB supports durable transactions with multiple layers of redundancy to ensure data persistence, while VoltDB relies on in-memory processing and replication to achieve high availability at the expense of durability.
  5. Query Processing: NuoDB uses a distributed query engine to parallelize query processing across multiple hosts for improved performance, while VoltDB executes queries in parallel on individual partitions to optimize resource utilization and minimize latency.
  6. Use Cases: NuoDB is well-suited for cloud-native applications that require horizontal scalability and fault tolerance, while VoltDB is ideal for real-time applications that demand high throughput and low latency processing.
In Summary, NuoDB and VoltDB differ in their database architecture, consistency model, scaling capabilities, data durability, query processing, and use cases.
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Pros of NuoDB
Pros of VoltDB
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    • 5
      SQL + Java
    • 4
      In-memory database
    • 4
      A brainchild of Michael Stonebraker
    • 3
      Very Fast
    • 2
      NewSQL

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    What is NuoDB?

    NuoDB’s continuously available, ACID-compliant, SQL database delivers on-demand capacity on commodity hardware across multiple data centers.

    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 companies use NuoDB?
    What companies use VoltDB?
      No companies found
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      What tools integrate with NuoDB?
      What tools integrate with VoltDB?
        No integrations found
        What are some alternatives to NuoDB and VoltDB?
        MongoDB
        MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
        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.
        CockroachDB
        CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.
        Oracle
        Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
        MySQL
        The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
        See all alternatives