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DBMS > atoti vs. Qdrant vs. VictoriaMetrics vs. WakandaDB

System Properties Comparison atoti vs. Qdrant vs. VictoriaMetrics vs. WakandaDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonQdrant  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A high-performance vector database with neural network or semantic-based matchingA fast, cost-effective and scalable Time Series DBMS and monitoring solutionWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelObject oriented DBMSVector DBMSTime Series DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteatoti.iogithub.com/­qdrant/­qdrant
qdrant.tech
victoriametrics.comwakanda.github.io
Technical documentationdocs.atoti.ioqdrant.tech/­documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
wakanda.github.io/­doc
DeveloperActiveViamQdrantVictoriaMetricsWakanda SAS
Initial release202120182012
Current releasev1.91, May 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
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 languageJavaRustGoC++, JavaScript
Server operating systemsDocker
Linux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Linux
OS X
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Booleanyes
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 indexesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonono
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
RESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
Rust
JavaScript
Server-side scripts infoStored proceduresPythonnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationSynchronous replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.yesyesnono
User concepts infoAccess controlKey-based authenticationyes

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More resources
atotiQdrantVictoriaMetricsWakandaDB
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