DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Prometheus vs. Qdrant vs. ScyllaDB

System Properties Comparison Prometheus vs. Qdrant vs. ScyllaDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NamePrometheus  Xexclude from comparisonQdrant  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionOpen-source Time Series DBMS and monitoring systemA high-performance vector database with neural network or semantic-based matchingCassandra and DynamoDB compatible wide column store
Primary database modelTime Series DBMSVector DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.38
Rank#54  Overall
#3  Time Series DBMS
Score2.03
Rank#112  Overall
#9  Vector DBMS
Score3.61
Rank#72  Overall
#5  Wide column stores
Websiteprometheus.iogithub.com/­qdrant/­qdrant
qdrant.tech
www.scylladb.com
Technical documentationprometheus.io/­docsqdrant.tech/­documentationdocs.scylladb.com
DeveloperQdrantScyllaDB
Initial release201520212015
Current releaseScyllaDB Open Source 6.2.0, October 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license available
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.
Implementation languageGoRustC++
Server operating systemsLinux
Windows
Docker
Linux
macOS
Windows
Linux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data onlyNumbers, 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 infoImport of XML data possiblenono
Secondary indexesnoyes infoKeywords, numberic ranges, geo, full-textyes infocluster global secondary indices
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)
APIs and other access methodsRESTful HTTP/JSON APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnoyes, Lua
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationCollection-level replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency, tunable consistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoAtomicity and isolation are supported for single operations
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.noyesyes infoin-memory tables
User concepts infoAccess controlnoKey-based authenticationAccess rights for users can be defined per object
More information provided by the system vendor
PrometheusQdrantScyllaDB
News

New ScyllaDB Release Delivers Unprecedented Elasticity & Efficiency via “Tablets” Architecture
3 December 2024

ScyllaDB Announces 6.0 Release for True Elastic Scale
12 June 2024

New ScyllaDB Release Achieves 50% Higher Throughput, 33% Lower Latency
20 February 2024

ScyllaDB Named Fastest Growing NoSQL Database on Deloitte Fast 500 List for the Second Consecutive Year
14 November 2023

ScyllaDB Raises $43M to Take on MongoDB at Scale, Push Database Performance to New Levels
17 October 2023

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
PrometheusQdrantScyllaDB
Recent citations in the news

Introducing the Amazon Timestream for LiveAnalytics Prometheus Connector
8 July 2024, AWS Blog

Mastering PromQL: A Comprehensive Guide to Prometheus Query Language
7 November 2024, packtpub.com

StarTree eyes observability market with Apache Pinot-based real-time engine
27 September 2024, SiliconANGLE News

Thousands of servers potentially at risk from Prometheus security flaw
13 December 2024, TechRadar

How to Monitor an Ubuntu Server With Prometheus: Collecting and Visualizing System Metrics
9 July 2024, Linux Journal

provided by Google News

Qdrant Expands Enterprise Capabilities with New Cloud Features, Strengthening AI Workloads for Large-Scale Deployments
4 March 2025, Business Wire

Open-source vector database Qdrant expands enterprise cloud AI features
4 March 2025, SiliconANGLE News

Qdrant update adds security measures for AI development
4 March 2025, TechTarget

Build your First RAG with Qdrant
17 October 2024, packtpub.com

Qdrant promises 10x faster indexing with GPU-powered vector database
23 January 2025, Blocks and Files

provided by Google News

Defense Department Tests AI Software, Advances to Improve Physical Security Posture
28 October 2024, Department of Defense

Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla
26 April 2024, InfoQ.com

ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale
6 January 2023, AWS Blog

ScyllaDB Launches Scylla Cloud Database as a Service
14 April 2019, insideainews.com

Why Database Software Has Been ‘Wasting’ Hardware
6 November 2019, Forbes

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here