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DBMS > atoti vs. GeoMesa vs. Hive vs. Qdrant

System Properties Comparison atoti vs. GeoMesa vs. Hive vs. Qdrant

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGeoMesa  Xexclude from comparisonHive  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.data warehouse software for querying and managing large distributed datasets, built on HadoopA high-performance vector database with neural network or semantic-based matching
Primary database modelObject oriented DBMSSpatial DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteatoti.iowww.geomesa.orghive.apache.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.atoti.iowww.geomesa.org/­documentation/­stable/­user/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homeqdrant.tech/­documentation
DeveloperActiveViamCCRi and othersApache Software Foundation infoinitially developed by FacebookQdrant
Initial release201420122021
Current release5.0.0, May 20243.1.3, April 2022
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache License 2.0Open Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaJavaRust
Server operating systemsAll OS with a Java VMDocker
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Boolean
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 indexesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC++
Java
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresPythonnoyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerselectable replication factorCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.yesdepending on storage layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users, groups and rolesKey-based authentication

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More resources
atotiGeoMesaHiveQdrant
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