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DBMS > OrigoDB vs. Qdrant vs. QuestDB vs. Ultipa

System Properties Comparison OrigoDB vs. Qdrant vs. QuestDB vs. Ultipa

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonQdrant  Xexclude from comparisonQuestDB  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseA high-performance vector database with neural network or semantic-based matchingA high performance open source SQL database for time series dataHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelDocument store
Object oriented DBMS
Vector DBMSTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websiteorigodb.comgithub.com/­qdrant/­qdrant
qdrant.tech
questdb.iowww.ultipa.com
Technical documentationorigodb.com/­docsqdrant.tech/­documentationquestdb.io/­docswww.ultipa.com/­document
DeveloperRobert Friberg et alQdrantQuestDB Technology IncUltipa
Initial release2009 infounder the name LiveDB202120142019
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
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 languageC#RustJava (Zero-GC), C++, Rust
Server operating systemsLinux
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsNumbers, 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.no infocan be achieved using .NETnono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLnonoSQL with time-series extensions
APIs and other access methods.NET Client API
HTTP API
LINQ
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
RESTful HTTP API
Supported programming languages.Net.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesno
Triggersyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCollection-level replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritydepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infothrough memory mapped files
User concepts infoAccess controlRole based authorizationKey-based authentication
More information provided by the system vendor
OrigoDBQdrantQuestDBUltipa
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
OrigoDBQdrantQuestDBUltipa
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