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About Manticore Search

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Free open-source text search engine

Our story

Manticore Search was born in 2017 as a continuation of Sphinx Search (which started in 2001). We took the best from Sphinx (C++ core and focus on low level data structures and fine-tuned algorithms), added more functionality, fixed tons of bugs, made it easier to use, kept it open source and made Manticore Search even more lightweight & extremely fast full-text search engine.

What is Manticore?

Manticore Search is a free and open source database designed specifically for search, including full-text search. We focus on low latency and high throughput full-text search and high volume stream filtering. Manticore Search helps thousands of companies from small to large, such as Craigslist, to search and filter petabytes of text data on a single or hundreds of nodes, do stream full-text filtering, add auto-complete, spell correction, more-like-this, faceted search and other search-related technologies to their sites.

Manticore or Sphinx?

Here’s what makes Manticore different from Sphinx:

Please find the complete comparison here

Key features:

  • Powerful and fast full-text searching which works fine for small and big datasets
  • SQL-first: the native Manticore’s syntax is SQL. It speaks SQL over HTTP and MySQL protocol (you can use your preferred mysql client)
  • JSON over HTTP: to provide more programmatic way to manage your data and schemas Manticore provides HTTP JSON protocol. Very similar to the one from Elasticsearch
  • Written fully in C++: starts fast, doesn’t take much RAM, low-level optimizations give good performance
  • Real-time inserts: after INSERT is made the document can be read immediately
  • Interactive courses for easier learning
  • Built-in replication and load balancing
  • Can sync from MySQL/PostgreSQL/ODBC/xml/csv out of the box
  • Not fully ACID-compliant, but supports transactions and binlog for safe writes

Wide range of Manticore and Sphinx search services

Manticore vs Sphinx

 
General
Open sourceYesNo, only old version is opensource
LicenseGPLv2Delayed FOSS, Commercial
PerformanceUp to 2x higher Lower
StabilityHigher (based on what Manticore users say when migrating from Sphinx 2/3)Lower
Public issues (since 2019)Total - 232, Actual - 63, Fixed - 169Total - 40, Actual- 40, Fixed - 0
Releases in 2019111
Latest release3.5.2 (October 1, 2020)3.3.1 (July 6 31 2020)
Features
Multi-threaded Real-time indexesYesNo
Indexing sourcesMySQL, PostgreSQL, MSSQL, XML , CSV/TSV, any DB supporting ODBCMySQL, PostgreSQL, MSSQL, XML , CSV/TSV, any DB supporting ODBC
Index typesPlain, RealTime, template, distributed, percolatePlain,RealTime, template, distributed
Built-in high-availabilityYesYes
Percolate Queries (reverse search)YesNo
Index ReplicationYesNo
Built-in Linguistic collections Lemmatizers for 3 languages, stopwords for 50 languages.
Chinese ICU processor.
No need to maintain in most cases long charset_table.
Snowball 2.0 with 25 stemmers
Lemmatizers for 3 languages.
Need to maintain long charset_table.
Snowball 1.0 with 15 stemmers
Multi-taskingCoroutinesThreads
DocstoreYesYes
Secondary indexNoYes
OR in WHERE Yes No
More string functionsYes No
Index converter YesNo
True seamless rotationYesNo
Smart rotationYesNo
Security: https support
YesNo
EXPLAIN QUERYYesNo
Community support and tools
Free config auditYes
No
ForumYesYes
Public SlackYesNo
Bug trackerGithub
Mantis
Accepted pull requests on Github90
Blogposts in 2019361
Interactive coursesYes
No
Integrations
SphinxSEYesYes
FEDERATEDYes
No
ProxySQLYesNo
Interfaces
SphinxQLYesYes
Binary APIYesYes
HTTP protocolYesBasic, implements only searches
Binary API clients
PHPOfficialOfficial, but marked deprecated
PerlUnofficialOfficial, but marked deprecated
.NET3rd partyСommunity
RubyOfficialOfficial, but marked deprecated
PythonOfficialOfficial, but marked deprecated
C++OfficialOfficial, but marked deprecated
GoOfficialNo
JavaOfficialOfficial, but marked as work in progress
JavascriptOfficialNo
ElixirOfficialUnofficial
Packaging
Linuxdeb (all Ubuntu and Debian LTS) and rpm (RHEL/Centos 6, 7 and 8) packagesgeneric tar.gz
Windowszipzip
macOSzipzip
FreeBSDNogeneric tar.gz
DockerYesNo official image, only binaries for Alpine
Source YesNo
Official YUM repoYesNo
Official APT repoYesNo
Homebrew FormulaeYesNo

Community

Manticore Search has a strong community, its knowledge will help you with any questions.

Talk to us on

slack

Slack

GitHub

twitter3

Twitter

Linkedin

Linkedin

forum2

Forum

Facebook

Facebook

email

Email

medium

Medium

Interactive courses

 

We have great Interactive Courses that can help you easily learn Manticore Search starting from how to install and configure it to  Geo Search, Did you mean, Autocomplete and Faceting implementation.

Downloads

Operation Systems

Debian

Ubuntu

RHEL\CentOS

Windows

MacOS

Docker

Packages

YUM repo for RedHat and CentOS​                       

HomeBrew for MacOS

Companies that trust us

  • To improve the relevance of our customers’ results we use Manticore Search as our data indexing solution, and Manticore Percolate Queries for real-time filtering of data in transit.  read more

    JAY KRALL

    VP Product, SocialGist
  • We’ve chosen this product because of the high performance compared to alternatives, the ability to expand the functionality with help of udf-functions and the availability of SQL-like query language. read more

    IVAN IVANOV

    Team leader, OWOX
  • We contacted Manticore’s free support on Slack with questions related to migrating form Sphinx search.
    In 30 minutes we had the first reply, and a few days later our issue was resolved, and we now using Manticore search to perform over 5 billion queries every day.  read more

    ALEXANDER SØRNES

    Senior Developer, JMT Nordic
  • We opted to migrate to Manticore instead of upgrading Sphinx since Manticore is open source and better supported. We’re very happy with our decision. read more

    JOSH MAINES

    Buds Gun Shop
  • We were using Sphinx but lately was crashing quite often and as a result making our homepage completely broken … We now only have some quick performance drops, instead of a continuous failure read more

    TRANG HO & GILLES BEDEL