Software Alternatives & Reviews

Varnish VS UnQLite

Compare Varnish VS UnQLite and see what are their differences

Varnish logo Varnish

High-performance HTTP accelerator

UnQLite logo UnQLite

UnQLite is a in-process software library which implements a self-contained, serverless...
  • Varnish Landing page
    Landing page //
    2023-05-09
  • UnQLite Landing page
    Landing page //
    2021-01-02

Varnish videos

Product Review 33 - AK Interactive Ultra Matte Varnish

More videos:

  • Review - Gamvar vs Liquitex - Acrylic Paint Varnish Review
  • Review - (473) Liquitex varnish review gloss vs. Matte

UnQLite videos

No UnQLite videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Varnish and UnQLite)
Proxy Server
100 100%
0% 0
NoSQL Databases
35 35%
65% 65
Key-Value Database
100 100%
0% 0
Databases
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Varnish seems to be a lot more popular than UnQLite. While we know about 16 links to Varnish, we've tracked only 1 mention of UnQLite. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Varnish mentions (16)

  • Varnish Cache
    Varnish Cache is a tool that provides a caching HTTP reverse proxy in order to accelerate your web applications. Once Varnish Cache is installed in front of any server that understands HTTP and configured to cache the contents, delivery speeds are typically enhanced by a factor of 300-1000x, depending on architecture. Kilobyte22 finds this tool along with HAProxy to be a winning combo. Source: 11 months ago
  • Leveraging Cache to improve Web Performance
    In this case, caching mechanism is situated in the proxy server or reverse proxy server like Nginx, Apache, or Varnish, and most probably it is a part of ISP (Internet Service Provider). - Source: dev.to / 12 months ago
  • Beyond Changing Technology: Scaling Your Applications Efficiently
    To handle this level of traffic, you can use tools such as Varnish HTTP Cache, which caches the information of a news article starting from the first user who accesses and makes the request. Once Varnish caches the page, subsequent users will receive a response that is saved in memory. This process allows you to avoid unnecessary synchronous requests and send a quick response to users. - Source: dev.to / about 1 year ago
  • Web resource caching: Server-side
    A couple of dedicated server-side resource caching solutions have emerged over the years: Memcached, Varnish, Squid, etc. Other solutions are less focused on web resource caching and more generic, e.g., Redis or Hazelcast. - Source: dev.to / over 1 year ago
  • Microfrontends: Microservices for the Frontend
    Edge Side Includes (ESI): a more modern alternative to SSI. ESI can handle variables, have conditionals, and supports better error handling. ESI is supported by caching HTTP servers such as Varnish. - Source: dev.to / over 1 year ago
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UnQLite mentions (1)

  • SQLite NOSQL Alternatives
    Unqlite is probably the closest nosql equivalent to SQLite that I can think of. Source: over 1 year ago

What are some alternatives?

When comparing Varnish and UnQLite, you can also consider the following products

Squid Proxy - Website Content Acceleration and Distribution. Thousands of web-sites around the Internet use Squid to drastically increase their content delivery. Squid can reduce your server load and improve delivery speeds to clients.

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.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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

memcached - High-performance, distributed memory object caching system

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