Powerful and fast
Thousands of queries per second with
sub-second response time against
billions of documents collections
Rich search query syntax and native SQL support
Use familiar SQL syntax with lots of search operators and expressions as the easiest and most intuitive way for designing log analytics queries
Run on premise or in any cloud in
Windows, Linux or MacOS
|RAM usage cost comparison|
|EC2||1 x M5dn.16xlarge||16 x M4.4xlarge|
|vCPU/RAM||64 cores /256Gib||16 cores/64Gib|
|Monthly price||$ 3 236||$ 9 520|
|Yearly price||$ 38 836||$ 114 241|
In many cases your ELK cluster is memory-bound and you have to pay for a large amount of RAM so that Elasticsearch can fit into it and provide decent search performance.
Imagine you could cut your AWS/GCP/Azure bill by 80% by significantly reducing the number of compute units while keeping the same performance.
Manticore Search v4 provides 5x lower RAM consumption and has no restriction on the maximum amount of memory it can allocate which allows you to run a bigger logs index on a single server with larger amount of memory which is more cost-efficient.
At Manticore there are three things we all have in common: reliability, flexibility and love for highly optimized search solutions. Manticore Search is not a new product. It was born in 2017 as a fork of Sphinx Search (which is 10 years older than Elasticsearach) by a number of former Sphinx employees and then existing Sphinx customers with a passion for more active development and better support. So we took the best from Sphinx (C++ core), added some magic and made Manticore Search lightweight & extremely Fast full-text search engine with its own community and highly professional development and support team.