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DBMS > Qdrant vs. SiriDB vs. Tkrzw vs. YugabyteDB

System Properties Comparison Qdrant vs. SiriDB vs. Tkrzw vs. YugabyteDB

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Editorial information provided by DB-Engines
NameQdrant  Xexclude from comparisonSiriDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA high-performance vector database with neural network or semantic-based matchingOpen Source Time Series DBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelVector DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score2.48
Rank#108  Overall
#53  Relational DBMS
Websitegithub.com/­qdrant/­qdrant
qdrant.tech
siridb.comdbmx.net/­tkrzwwww.yugabyte.com
Technical documentationqdrant.tech/­documentationdocs.siridb.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperQdrantCesbitMikio HirabayashiYugabyte Inc.
Initial release2021201720202017
Current release0.9.3, August 20202.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoApache 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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageRustCC++C and C++
Server operating systemsDocker
Linux
macOS
Windows
LinuxLinux
macOS
Linux
OS X
Data schemeschema-freeyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Booleanyes infoNumeric datanoyes
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.nononono
Secondary indexesyes infoKeywords, numberic ranges, geo, full-textyesyes
SQL infoSupport of SQLnononoyes, PostgreSQL compatible
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP APIJDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonoyes infosql, plpgsql, C
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationyesnoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classesno
User concepts infoAccess controlKey-based authenticationsimple rights management via user accountsnoyes
More information provided by the system vendor
QdrantSiriDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
QdrantSiriDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
Recent citations in the news

Qdrant review: A highly flexible option for vector search
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1 February 2024, Datanami

YugabyteDB 2.19 gets new PostgreSQL-compatibility features
19 September 2024, InfoWorld

Simplifying cloud-native app development with Yugabyte
2 August 2024, IMDA

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