MemSQL

MemSQL

Offering a unified platform, MemSQL empowers businesses to handle diverse workloads including SQL, JSON, vector, and full-text search efficiently. With real-time analytics capabilities, it ingests millions of records per second, ensuring rapid data accessibility. The solution simplifies infrastructure by natively managing transactions and analytics, optimizing both speed and cost.

Top MemSQL Alternatives

1

SQLite

SQLite is a robust, self-contained SQL database engine written in C.

2

DBeaver

DBeaver Community is a versatile, free database management tool designed for developers and data professionals.

3

PostgreSQL

PostgreSQL is an advanced open-source object-relational database system renowned for its reliability and scalability.

4

Robomongo

Robo 3T (formerly Robomongo) seamlessly integrates with MongoDB, utilizing the actual MongoDB shell engine for enhanced performance.

5

YDB

YDB is an open-source Distributed SQL Database designed for high availability and scalability while ensuring strong consistency and ACID transactions.

6

robo3t

Robo 3T, previously known as Robomongo, leverages the MongoDB shell's native engine for a seamless experience.

7

Undb

It supports local deployment with a single file for data persistence, leveraging SQLite and object...

8

Prometheus

It utilizes a dimensional data model, enabling users to perform real-time queries with PromQL...

9

Sherloq

It eliminates the chaos of fragmented storage, allowing teams to collaboratively manage SQL code effortlessly...

10

HyperSQL

Developed by the HSQL Development Group, it enables seamless data processing and supports diverse platforms...

11

PartiQL

It enables users to execute SQL-compatible queries across structured, semi-structured, and nested data seamlessly...

12

Metabase

With intuitive dashboards, embedded analytics for customer engagement, and extensive resources like guides and tutorials...

13

M3

With a proven ability to ingest over one billion datapoints per second and serve more...

14

Adminer

Prioritizing security, it mandates password protection and rate-limits connections to thwart brute-force attacks...

15

KVdb

Users can create secure buckets with customizable access controls and manage data effortlessly, including incrementing...

MemSQL Review and Overview

The MemSQL platform usually runs on a customized set of servers called as clusters. Users are able to access a single interface to get data in or out of MemSQL. MemSQL is even equipped to handle the required information regarding servers storing volumes of data and allows for the smooth flow of logic based on query distribution. Users of MemSQL are able to access the benefits from the resources of the numerous servers without having the actual need to access the expertise for distributed systems.

Memory optimization

Users of the MemSQL platform are able to use the option of reading and writing numerous forms of data directly to and from the main memory storage. This method of accessing the data, called DRAM, is much faster than disk or flash/SSD based data transfer. Hence users can be assured of being able to use extreme performance and amazing benefits, which are necessary in fields such as high-throughput transaction processing and allows for the collection of real-time data analytics.

However, it is not necessary that all the data is stored into memory. Users can avail the option of storing their precious data in a compressed format with the help of a flash drive, SSD or a disk.

Durable storage

The MemSQL database helps users to write their logs and full database snapshots into the comfort of a disk, which can then be used as a backup option in case the machine is turned off due to some unforeseen circumstance. MemSQL writes its various logs in the form of data changes and the software is even equipped to perform full memory backup of all the data from time to time, ensuring that the data is always secure and safe. The frequency of performing full database backups rests with the users, and it can be configured according to the needs of the developer.

Conclusion

The MemSQL platform runs on the well known Linux OS, is written in the C++ programming language and even supports cloud-based storage functions, making it an extremely convenient SQL application to use.

Top MemSQL Features

  • Unified SQL and JSON support
  • Real-time analytics capabilities
  • Built-in vector search
  • High-performance transactions
  • Full-context AI support
  • Fast K-NN and ANN search
  • Ingest millions of records
  • Scalable to one million users
  • SingleStore Kaiā„¢ API integration
  • Seamless legacy database migration
  • Multi-workload processing
  • Operationalize enterprise data models
  • No external database required
  • Columnstore and rowstore hybrid
  • Integrated full-text search
  • Reduce total cost of ownership
  • Enhanced disaster recovery options
  • Community-driven support resources
  • Online point-in-time recovery
  • Self-managed deployment options