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DBMS > Datastax Enterprise vs. Qdrant vs. SQream DB

System Properties Comparison Datastax Enterprise vs. Qdrant vs. SQream DB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonQdrant  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A high-performance vector database with neural network or semantic-based matchinga GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelWide column storeVector DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisegithub.com/­qdrant/­qdrant
qdrant.tech
sqream.com
Technical documentationdocs.datastax.comqdrant.tech/­documentationdocs.sqream.com
DeveloperDataStaxQdrantSQream Technologies
Initial release201120212017
Current release6.8, April 20202022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaRustC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Docker
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyes, ANSI Standard SQL Types
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.nono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
.Net
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions in Python
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingCollection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes
User concepts infoAccess controlAccess rights for users can be defined per objectKey-based authentication
More information provided by the system vendor
Datastax EnterpriseQdrantSQream DB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Datastax EnterpriseQdrantSQream DB
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