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DBMS > Datastax Enterprise vs. DuckDB vs. Prometheus vs. YDB

System Properties Comparison Datastax Enterprise vs. DuckDB vs. Prometheus vs. YDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonDuckDB  Xexclude from comparisonPrometheus  Xexclude from comparisonYDB  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.An embeddable, in-process, column-oriented SQL OLAP RDBMSOpen-source Time Series DBMS and monitoring systemA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelWide column storeRelational DBMSTime Series DBMSDocument store
Relational 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
Score4.82
Rank#65  Overall
#4  Wide column stores
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.39
Rank#269  Overall
#43  Document stores
#126  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseduckdb.orgprometheus.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.datastax.comduckdb.org/­docsprometheus.io/­docsydb.tech/­en/­docs
DeveloperDataStaxYandex
Initial release2011201820152019
Current release6.8, April 20201.0.0, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
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.
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 languageJavaC++Go
Server operating systemsLinux
OS X
server-lessLinux
Windows
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesnoSQL-like query language (YQL)
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
RESTful HTTP/JSON APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnononono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneyes infoby FederationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesnono
User concepts infoAccess controlAccess rights for users can be defined per objectnonoAccess rights defined for Yandex Cloud users
More information provided by the system vendor
Datastax EnterpriseDuckDBPrometheusYDB
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...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
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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Datastax EnterpriseDuckDBPrometheusYDB
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