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DBMS > atoti vs. chDB vs. Kyligence Enterprise vs. Sphinx

System Properties Comparison atoti vs. chDB vs. Kyligence Enterprise vs. Sphinx

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonchDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embedded SQL OLAP Engine powered by ClickHouseA distributed analytics engine for big data, built on top of Apache KylinOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteatoti.iogithub.com/­chdb-io/­chdbkyligence.io/­kyligence-enterprisesphinxsearch.com
Technical documentationdocs.atoti.iodoc.chdb.iosphinxsearch.com/­docs
DeveloperActiveViamKyligence, Inc.Sphinx Technologies Inc.
Initial release202320162001
Current release3.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsserver-lessLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLMultidimensional Expressions (MDX)Close to ANSI SQL (SQL/JSON + extensions)ANSI SQL for queries (using Apache Calcite)SQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresPythonno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno

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More resources
atotichDBKyligence EnterpriseSphinx
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