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DBMS > Kinetica vs. Qdrant vs. STSdb vs. Vertica vs. YugabyteDB

System Properties Comparison Kinetica vs. Qdrant vs. STSdb vs. Vertica vs. YugabyteDB

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonQdrant  Xexclude from comparisonSTSdb  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA high-performance vector database with neural network or semantic-based matchingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSVector DBMSKey-value storeRelational DBMS infoColumn orientedRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
Time Series DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.28
Rank#167  Overall
#7  Vector DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.kinetica.comgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­STSSoft/­STSdb4www.vertica.comwww.yugabyte.com
Technical documentationdocs.kinetica.comqdrant.tech/­documentationvertica.com/­documentationdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperKineticaQdrantSTS Soft SCOpenText infopreviously Micro Focus and Hewlett PackardYugabyte Inc.
Initial release20122021201120052017
Current release7.1, August 20214.0.8, September 201512.0.3, January 20232.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPLv2, commercial license availablecommercial infoLimited community edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
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 languageC, C++RustC#C++C and C++
Server operating systemsLinuxDocker
Linux
macOS
Windows
WindowsLinuxLinux
OS X
Data schemeyesschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.depending on used data model
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyes infoprimitive types and user defined types (classes)yesyes
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 indexesyesyes infoKeywords, numberic ranges, geo, full-textnoNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
.NET Client APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
JDBC
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 languagesC++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes, PostgreSQL PL/pgSQL, with minor differencesyes infosql, plpgsql, C
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes, called Custom Alertsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning, hierarchical partitioningHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCollection-level replicationnoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency, tunable consistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesnono
User concepts infoAccess controlAccess rights for users and roles on table levelKey-based authenticationnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashyes
More information provided by the system vendor
KineticaQdrantSTSdbVertica infoOpenText™ Vertica™YugabyteDB
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Systems of record and engagement for cloud native applications that require resilience,...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more
Apache 2.0 license for the database
» more

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More resources
KineticaQdrantSTSdbVertica infoOpenText™ Vertica™YugabyteDB
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