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DBMS > atoti vs. FeatureBase vs. Sphinx

System Properties Comparison atoti vs. FeatureBase vs. Sphinx

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFeatureBase  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelObject oriented DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.92
Rank#234  Overall
#11  Object oriented DBMS
Score0.35
Rank#317  Overall
#143  Relational DBMS
Score6.05
Rank#70  Overall
#8  Search engines
Websiteatoti.iowww.featurebase.comsphinxsearch.com
Technical documentationdocs.atoti.iodocs.featurebase.comsphinxsearch.com/­docs
DeveloperActiveViamMolecula and Pilosa Open Source ContributorsSphinx Technologies Inc.
Initial release20172001
Current release2022, May 20223.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemsLinux
macOS
FreeBSD
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 indexesnoyes infofull-text index on all search fields
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL queriesSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Proprietary protocol
Supported programming languagesJava
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresPythonno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes 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.yesyes
User concepts infoAccess controlno

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More resources
atotiFeatureBaseSphinx
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