DBMS > Ignite vs. Sphinx vs. Tkrzw
System Properties Comparison Ignite vs. Sphinx vs. Tkrzw
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|Editorial information provided by DB-Engines|
|Name||Ignite Xexclude from comparison||Sphinx Xexclude from comparison||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet Xexclude from comparison|
|Description||Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.||Open source search engine for searching in data from different sources, e.g. relational databases||A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet|
|Primary database model||Key-value store|
|Search engine||Key-value store|
|Developer||Apache Software Foundation||Sphinx Technologies Inc.||Mikio Hirabayashi|
|Current release||Apache Ignite 2.6||3.5.1, February 2023||0.9.3, August 2020|
|License Commercial or Open Source||Open Source Apache 2.0||Open Source GPL version 2, commercial licence available||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Implementation language||C++, Java, .Net||C++||C++|
|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes||no||no|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes||no|
|Secondary indexes||yes||yes full-text index on all search fields|
|SQL Support of SQL||ANSI-99 for query and DML statements, subset of DDL||SQL-like query language (SphinxQL)||no|
|APIs and other access methods||HDFS API|
RESTful HTTP API
|Supported programming languages||C#|
|C++ unofficial client library|
Perl unofficial client library
Ruby unofficial client library
|Server-side scripts Stored procedures||yes (compute grid and cache interceptors can be used instead)||no||no|
|Triggers||yes (cache interceptors and events)||no||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding Partitioning is done manually, search queries against distributed index is supported||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes (replicated cache)||none||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes (compute grid and hadoop accelerator)||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes The original contents of fields are not stored in the Sphinx index.||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes using specific database classes|
|User concepts Access control||Security Hooks for custom implementations||no||no|
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|Ignite||Sphinx||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet|
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