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DBMS > LMDB vs. Prometheus vs. ScyllaDB vs. Stardog

System Properties Comparison LMDB vs. Prometheus vs. ScyllaDB vs. Stardog

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Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonPrometheus  Xexclude from comparisonScyllaDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryOpen-source Time Series DBMS and monitoring systemCassandra and DynamoDB compatible wide column storeEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeTime Series DBMSWide column storeGraph DBMS
RDF store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#120  Overall
#20  Key-value stores
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Websitewww.symas.com/­symas-embedded-database-lmdbprometheus.iowww.scylladb.comwww.stardog.com
Technical documentationwww.lmdb.tech/­docprometheus.io/­docsdocs.scylladb.comdocs.stardog.com
DeveloperSymasScyllaDBStardog-Union
Initial release2011201520152010
Current release0.9.32, January 2024ScyllaDB Open Source 6.0.2, July 20247.3.0, May 2020
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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 languageCGoC++Java
Server operating systemsLinux
Unix
Windows
Linux
Windows
LinuxLinux
macOS
Windows
Data schemeschema-freeyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateNumeric data onlyyesyes
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 infoImport of XML data possiblenono infoImport/export of XML data possible
Secondary indexesnonoyes infocluster global secondary indicesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
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
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonoyes, Luauser defined functions and aggregates, HTTP Server extensions in Java
Triggersnononoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby Federationselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyes infoin-memory tablesyes
User concepts infoAccess controlnonoAccess rights for users can be defined per objectAccess rights for users and roles
More information provided by the system vendor
LMDBPrometheusScyllaDBStardog
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
LMDBPrometheusScyllaDBStardog
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