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DBMS > atoti vs. Hyprcubd vs. Lovefield vs. Sphinx vs. Splice Machine

System Properties Comparison atoti vs. Hyprcubd vs. Lovefield vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHyprcubd  Xexclude from comparisonLovefield  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Serverless Time Series DBMSEmbeddable relational database for web apps written in pure JavaScriptOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelObject oriented DBMSTime Series DBMSRelational DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteatoti.iohyprcubd.com (offline)google.github.io/­lovefieldsphinxsearch.comsplicemachine.com
Technical documentationdocs.atoti.iogithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperActiveViamHyprcubd, Inc.GoogleSphinx Technologies Inc.Splice Machine
Initial release201420012014
Current release2.1.12, February 20173.5.1, February 20233.1, March 2021
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJavaScriptC++Java
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesnoyes
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.nono
Secondary indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languageSQL-like query language infovia JavaScript builder patternSQL-like query language (SphinxQL)yes
APIs and other access methodsgRPC (https)Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresPythonnononoyes infoJava
TriggersnoUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)noyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing MemoryDByes
User concepts infoAccess controltoken accessnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
atotiHyprcubdLovefieldSphinxSplice Machine
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