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DBMS > atoti vs. Hive vs. HugeGraph vs. YTsaurus

System Properties Comparison atoti vs. Hive vs. HugeGraph vs. YTsaurus

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.data warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSYTsaurus is an open source platform for distributed storage and processing.
Primary database modelObject oriented DBMSRelational DBMSGraph DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websiteatoti.iohive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
ytsaurus.tech
Technical documentationdocs.atoti.iocwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docsytsaurus.tech/­docs/­en
DeveloperActiveViamApache Software Foundation infoinitially developed by FacebookBaiduYandex
Initial release201220182023
Current release3.1.3, April 20220.9
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache License, Version 2.0
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 languageJavaJavaJavaC++
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
Ubuntu
Data schemeyesyes
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.nono
Secondary indexesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like DML and DDL statementsnoYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC++
Java
PHP
Python
Groovy
Java
Python
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresPythonyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobs
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducevia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesUsers, roles and permissionsAccess Control Lists

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More resources
atotiHiveHugeGraphYTsaurus
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