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DBMS > Lovefield vs. NSDb vs. ScyllaDB vs. VictoriaMetrics

System Properties Comparison Lovefield vs. NSDb vs. ScyllaDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonNSDb  Xexclude from comparisonScyllaDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesCassandra and DynamoDB compatible wide column storeA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSTime Series DBMSWide column storeTime Series DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitegoogle.github.io/­lovefieldnsdb.iowww.scylladb.comvictoriametrics.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdnsdb.io/­Architecturedocs.scylladb.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGoogleScyllaDBVictoriaMetrics
Initial release2014201720152018
Current release2.1.12, February 2017ScyllaDB Open Source 5.4.1, January 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache Version 2.0
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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaScriptJava, ScalaC++Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes
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 indexesyesall fields are automatically indexedyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternSQL-like query languageSQL-like DML and DDL statements (CQL)no
APIs and other access methodsgRPC
HTTP REST
WebSocket
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJavaScriptJava
Scala
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 proceduresnonoyes, Luano
TriggersUsing read-only observersnono
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 possibleSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime DatabaseUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes infoin-memory tablesno
User concepts infoAccess controlnoAccess rights for users can be defined per object
More information provided by the system vendor
LovefieldNSDbScyllaDBVictoriaMetrics
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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LovefieldNSDbScyllaDBVictoriaMetrics
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