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DBMS > atoti vs. Galaxybase vs. Heroic vs. Linter

System Properties Comparison atoti vs. Galaxybase vs. Heroic vs. Linter

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGalaxybase  Xexclude from comparisonHeroic  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable, ACID-compliant native distributed parallel graph platformTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchRDBMS for high security requirements
Primary database modelObject oriented DBMSGraph DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Websiteatoti.iogalaxybase.comgithub.com/­spotify/­heroiclinter.ru
Technical documentationdocs.atoti.iospotify.github.io/­heroic
DeveloperActiveViamChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Spotifyrelex.ru
Initial release201720141990
Current releaseNov 20, November 2021
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaJavaC and C++
Server operating systemsLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeStrong typed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonoyes
APIs and other access methodsBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresPythonuser defined procedures and functionsnoyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
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 integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standard

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More resources
atotiGalaxybaseHeroicLinter
Recent citations in the news

Overview Of Atoti: A Python BI Analytics Tool – AIM
14 May 2021, Analytics India Magazine

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