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DBMS > Graphite vs. Milvus vs. ScyllaDB vs. Valentina Server

System Properties Comparison Graphite vs. Milvus vs. ScyllaDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonMilvus  Xexclude from comparisonScyllaDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA DBMS designed for efficient storage of vector data and vector similarity searchesCassandra and DynamoDB compatible wide column storeObject-relational database and reports server
Primary database modelTime Series DBMSVector DBMSWide column storeRelational DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitegithub.com/­graphite-project/­graphite-webmilvus.iowww.scylladb.comwww.valentina-db.net
Technical documentationgraphite.readthedocs.iomilvus.io/­docs/­overview.mddocs.scylladb.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperChris DavisScyllaDBParadigma Software
Initial release2006201920151999
Current release2.3.4, January 2024ScyllaDB Open Source 5.4.1, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license availablecommercial
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.
Zilliz Cloud – Cloud-native service for MilvusScylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languagePythonC++, GoC++
Server operating systemsLinux
Unix
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxLinux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateNumeric data onlyVector, Numeric and Stringyesyes
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
Secondary indexesnonoyes infocluster global secondary indicesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsHTTP API
Sockets
RESTful HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ODBC
Supported programming languagesJavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
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
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes, Luayes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyes
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.yesyes infoin-memory tablesyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
GraphiteMilvusScyllaDBValentina Server
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
GraphiteMilvusScyllaDBValentina Server
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