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DBMS > atoti vs. Citus vs. Heroic vs. LevelDB

System Properties Comparison atoti vs. Citus vs. Heroic vs. LevelDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCitus  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Websiteatoti.iowww.citusdata.comgithub.com/­spotify/­heroicgithub.com/­google/­leveldb
Technical documentationdocs.atoti.iodocs.citusdata.comspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperActiveViamSpotifyGoogle
Initial release201020142011
Current release8.1, December 20181.23, February 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC++
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyes infovia Elasticsearchno
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infostandard, with numerous extensionsnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresPythonuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
atotiCitusHeroicLevelDB
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