Software Alternatives, Accelerators & Startups
Register | Login

VoltDB VS Vim Python IDE

Compare VoltDB VS Vim Python IDE and see what are their differences

Cyclr
Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS. featured
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

VoltDB logo VoltDB

In-memory relational DBMS capable of supporting millions of database operations per second

Vim Python IDE logo Vim Python IDE

Python development config with asynchronous Vim Plugins
  • VoltDB Landing page
    Landing page //
    2023-09-17
  • Vim Python IDE Landing page
    Landing page //
    2023-07-26

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.

Vim Python IDE features and specs

No features have been listed yet.

VoltDB videos

+ Add

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

Vim Python IDE videos

No Vim Python IDE videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to VoltDB and Vim Python IDE)

VoltDB

Vim Python IDE

NoSQL Databases
100 100%
NoSQL Databases
0% 0
Spreadsheets
0 0%
Spreadsheets
100% 100
Databases
100 100%
Databases
0% 0
Spreadsheets As A Backend
0 0%
Spreadsheets As A Backend
100% 100

User comments

Share your experience with using VoltDB and Vim Python IDE. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing VoltDB and Vim Python IDE, you can also consider the following products

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.

CompactView - Viewer for Microsoftยฎ SQL Serverยฎ CE database files (sdf)

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

Realm.io - Realm is a mobile platform and a replacement for SQLite & Core Data. Build offline-first, reactive mobile experiences using simple data sync.

UnQLite - UnQLite is a in-process software library which implements a self-contained, serverless...

HSQLDB - hsqldb: Full-featured 100% Java ORDBMS

Loading...