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.
VoltDB is a tool in the In-Memory Databases category of a tech stack.
Who uses VoltDB?
3 companies reportedly use VoltDB in their tech stacks, including Peak, Spand, and eagleinvsys.
6 developers on StackShare have stated that they use VoltDB.
Why developers like VoltDB?
Here’s a list of reasons why companies and developers use VoltDB
- In-Memory Performance with On-Disk Durability
- Transparent Scalability with Data Consistency
- NewSQL – All the benefits of SQL with Unlimited Scalability
- JSON Support for Agile Development
- ACID Compliant Transactions
- Export Data to OLAP Stores and Data Warehouses
VoltDB Alternatives & Comparisons
What are some alternatives to VoltDB?
See all alternatives
NuoDB’s continuously available, ACID-compliant, SQL database delivers on-demand capacity on commodity hardware across multiple data centers.
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.
MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.
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.
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.