Software Alternatives, Accelerators & Startups

Chart VS VoltDB

Compare Chart VS VoltDB and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Chart logo Chart

Create the most popular types of charts by real or random data - GitHub - pavelkuligin/chart: Create the most popular types of charts by real or random data

VoltDB logo VoltDB

In-memory relational DBMS capable of supporting millions of database operations per second
  • Chart Landing page
    Landing page //
    2022-11-06
  • VoltDB Landing page
    Landing page //
    2023-09-17

Chart features and specs

No features have been listed yet.

VoltDB features and specs

  • High Performance
    VoltDB is designed for high-speed data processing and can handle a large number of transactions per second, making it suitable for real-time applications.
  • In-Memory Storage
    Data in VoltDB is stored in-memory, which eliminates disk I/O latencies and enhances the speed of data retrieval and processing.
  • Strong Consistency
    The database provides ACID properties, ensuring that transactions are processed reliably and consistently, which is critical for financial and other sensitive applications.
  • Real-time Analytics
    VoltDB can perform complex queries and analytics in real time, enabling immediate insights and decision-making.
  • Scalability
    VoltDB supports horizontal scaling, allowing it to handle increasing amounts of data and transactions by adding more nodes to a cluster.

Possible disadvantages of VoltDB

  • Memory Dependency
    Since data is stored in-memory, the amount of data that can be handled is limited by the available memory, which might require additional resources or configurations.
  • Complexity of Setup
    Initial setup and configuration of VoltDB can be complex, requiring a solid understanding of the system and expertise to optimize performance.
  • Limited to Specific Use Cases
    VoltDB excels in OLTP and real-time applications but might not be suitable for workloads primarily involving heavy analytical processing (OLAP).
  • Commercial Licensing
    While there may be a community edition available, advanced features and support generally require commercial licensing, which can be costly for some organizations.
  • Subset of SQL
    VoltDB may not support the full SQL standard, which might limit certain types of queries or necessitate changes to existing applications designed for other databases.

Chart videos

Retrospective Chart Review Research: Get it Right to Get it Published #1

More videos:

  • Review - Chart Reviews for Independent Healthcare Practices
  • Review - Medical Chart Review Made Easy

VoltDB videos

VoltDB Explained in 2 Minutes

More videos:

  • Review - CMU Database Systems - 25 Ethan Zhang [VoltDB] (Fall 2018)
  • Review - VoltDB Founder/Engineer: Transactional Streaming - If You Can Compute It, You Can Probably Stream It

Category Popularity

0-100% (relative to Chart and VoltDB)
Data Visualization
100 100%
0% 0
Databases
0 0%
100% 100
Data Dashboard
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Chart and VoltDB, you can also consider the following products

Google Charts - Interactive charts for browsers and mobile devices.

Microsoft SQL Server Compact - Bring Microsoft SQL Server 2017 to the platform of your choice. Use SQL Server 2017 on Windows, Linux, and Docker containers.

Plot Agents - Plot Agents - Transform your data into stunning charts instantly. No coding required. Create 200+ types of charts with AI-powered tools.

CompactView - Viewer for Microsoft® SQL Server® CE database files (sdf)

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

ObjectBox - ObjectBox empower edge computing with an edge device database and synchronization solution for Mobile & IoT. Store and sync data from edge to cloud.