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DBMS > atoti vs. MonetDB vs. ObjectBox vs. Qdrant vs. QuestDB

System Properties Comparison atoti vs. MonetDB vs. ObjectBox vs. Qdrant vs. QuestDB

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMonetDB  Xexclude from comparisonObjectBox  Xexclude from comparisonQdrant  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A relational database management system that stores data in columnsExtremely fast embedded database for small devices, IoT and MobileA high-performance vector database with neural network or semantic-based matchingA high performance open source SQL database for time series data
Primary database modelObject oriented DBMSRelational DBMSObject oriented DBMSVector DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websiteatoti.iowww.monetdb.orgobjectbox.iogithub.com/­qdrant/­qdrant
qdrant.tech
questdb.io
Technical documentationdocs.atoti.iowww.monetdb.org/­Documentationdocs.objectbox.ioqdrant.tech/­documentationquestdb.io/­docs
DeveloperActiveViamMonetDB BVObjectBox LimitedQdrantQuestDB Technology Inc
Initial release2004201720212014
Current releaseDec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMozilla Public License 2.0Open Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC and C++RustJava (Zero-GC), C++, Rust
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeyesyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesNumbers, 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 indexesyesyesyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infoSQL 2003 with some extensionsnonoSQL with time-series extensions
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary native APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresPythonyes, in SQL, C, Rnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding via remote tablesnoneShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusonline/offline synchronization between client and serverCollection-level replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardyesKey-based authentication
More information provided by the system vendor
atotiMonetDBObjectBoxQdrantQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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